Senior Data Engineer

לפני 2 שעות

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers - while collaborating closely with product, DevOps and analytics stakeholders.
About the Platform group
The Platform Group accelerates our productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, youll help shape the technical foundation that supports our entire engineering team.
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects - from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

Requirements:
5+ years of hands-on experience in backend or data engineering, including 2+ years at a senior level delivering production systems
Strong coding skills in Python, Kotlin, Java or Scala with emphasis on clean, testable, production-ready code
Proven track record designing, building and operating distributed data pipelines and storage (batch or streaming)
Deep experience with relational databases (PostgreSQL preferred) and working knowledge of at least one NoSQL or columnar/analytical store (e.g. SingleStore, ClickHouse, Redshift, BigQuery)
Solid hands-on experience with event-streaming platforms such as Apache Kafka
Familiarity with data-orchestration frameworks such as Airflow
Comfortable with modern CI/CD, observability and infrastructure-as-code practices in a cloud environment (AWS, GCP or Azure)
Ability to break down complex problems, communicate trade-offs clearly, and collaborate effectively with engineers and product partners
Bonus Skills
Experience building data governance or security/compliance-aware data platforms
Familiarity with Kubernetes, Docker, and infrastructure-as-code tools
Experience with data quality frameworks, lineage, or metadata tooling.

This position is open to all candidates.

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17/12/2025

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Description:
We are looking for a highly skilled Senior Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. You will define the technical vision, build scalable and reliable data systems, and guide the long-term architecture that powers analytics, operational decision-making, and data-driven products across the organization.
This role is both strategic and hands-on. You will evaluate modern data technologies, define engineering best practices, and lead the implementation of robust, high-performance data solutionsincluding the design, build, and lifecycle management of data pipelines that support batch, streaming, and near-real-time workloads.
What Youll Do
Architecture & Strategy
Own the architecture of our data platform, ensuring scalability, performance, reliability, and security.
Define standards and best practices for data modeling, transformation, orchestration, governance, and lifecycle management.
Evaluate and integrate modern data technologies and frameworks that align with our long-term platform strategy.
Collaborate with engineering and product leadership to shape the technical roadmap.
Engineering & Delivery
Design, build, and manage scalable, resilient data pipelines for batch, streaming, and event-driven workloads.
Develop clean, high-quality data models and schemas to support analytics, BI, operational systems, and ML workflows.
Implement data quality, lineage, observability, and automated testing frameworks.
Build ingestion patterns for APIs, event streams, files, and third-party data sources.
Optimize compute, storage, and transformation layers for performance and cost efficiency.
Leadership & Collaboration
Serve as a senior technical leader and mentor within the data engineering team.
Lead architecture reviews, design discussions, and cross-team engineering initiatives.
Work closely with analysts, data scientists, software engineers, and product owners to define and deliver data solutions.
Communicate architectural decisions and trade-offs to technical and non-technical stakeholders.

Requirements:
610+ years of experience in Data Engineering, with demonstrated architectural ownership.
Expert-level experience with Snowflake (mandatory), including performance optimization, data modeling, security, and ecosystem components.
Expert proficiency in SQL and strong Python skills for pipeline development and automation.
Experience with modern orchestration tools (Airflow, Dagster, Prefect, or equivalent).
Strong understanding of ELT/ETL patterns, distributed processing, and data lifecycle management.
Familiarity with streaming/event technologies (Kafka, Kinesis, Pub/Sub, etc.).
Experience implementing data quality, observability, and lineage solutions.
Solid understanding of cloud infrastructure (AWS, GCP, or Azure).
Strong background in DataOps practices: CI/CD, testing, version control, automation.
Proven leadership in driving architectural direction and mentoring engineering teams
Nice to Have
Experience with data governance or metadata management tools.
Hands-on experience with DBT, including modeling, testing, documentation, and advanced features.
Exposure to machine learning pipelines, feature stores, or MLOps.
Experience with Terraform, CloudFormation, or other IaC tools.
Background designing systems for high scale, security, or regulated environments.

This position is open to all candidates.

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01/01/2026

Staff Data Engineer, Group Tech Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across our company to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

Requirements:
8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas
A B.Sc. in Computer Science or a related technical field (or equivalent experience)
Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions
Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines
A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage
Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions
Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQL, with a solid understanding of their use cases
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture.

This position is open to all candidates.

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31/12/2025

Senior Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Backend Engineer to join our Backend Infrastructure team. In this high-impact role, you will be pivotal in shaping the foundations that enable all of our developers to build and ship software effectively. You will be responsible for designing, building, and owning the scalable backend services that form our core infrastructure-such as authentication, data pipelines, public APIs, and asynchronous job systems. You will also champion our Developer Experience (DevEx) by creating common libraries, building internal tools, and setting engineering best practices. This role requires leading complex technical projects from architecture to deployment, driving improvements in platform scalability and performance, and collaborating closely with other engineering teams, DevOps, and Product to deliver foundational solutions that move the needle.
About the Backend Infrastructure team:
The Backend Infrastructure team is on a mission to build the reliable, scalable, and efficient foundations that power us. We focus on enhancing Developer Experience (DevEx) by providing robust tools, setting engineering best practices, and owning core services like authentication, data pipelines, and CI/CD. We ensure the platform can grow reliably by working in close collaboration with DevOps and all development teams. As a senior member of this team, youll be pivotal in shaping the technical backbone that supports our entire engineering organization.

Requirements:
7+ years of hands-on experience in backend development
Strong proficiency in Node.js and TypeScript - Must
Proven experience with both relational (e.g., MySQL, PostgreSQL) and non-relational (e.g., MongoDB) databases.
Experience designing, building, and maintaining scalable, high-availability, and robust production-grade systems.
Expertise in developing secure, production-grade APIs and backend services for web applications.
Experience in designing and developing complex systems while collaborating with multiple stakeholders (e.g., product, other engineering teams, DevOps).
A collaborative team player with a passion for empowering other engineers.
Fluent English speaker (verbal and written communication is a must)
B.Sc. in Computer Science, or military equivalent certifications
Advantages:
Experience building internal tools, or platforms for other developers
Familiarity with modern Node.js frameworks like NestJS and monorepo tools like Nx.
Familiarity with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools.

This position is open to all candidates.

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23/12/2025

Senior Data Platform Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Platform Engineer to design, build, and scale next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

Requirements:
7+ years experience building/operating data platforms
Strong Python programming skills
Proven experience with cloud data lakes and warehouses (Databricks, Snowflake, or equivalent).
Data orchestration experience (Airflow)
Solid understanding of AWS services
Proficiency with relational databases and search/analytics stores
Experience designing complex data pipelines, managing data quality, lineage, and observability in production.
Familiarity with CI/CD, GitOps, and IaC
Excellent understanding of distributed systems, data partitioning, and schema evolution.
Strong communication skills, ability to document and present technical designs clearly.
Advantages:
Experience with vector databases and graph databases
Experience integrating AI/LLM workloads into data pipelines (feature stores, retrieval pipelines, embeddings).
Familiarity with event streaming and CDC patterns.
Experience with data catalog, lineage, or governance tools
Knowledge of monitoring and alerting stacks
Hands-on experience with multi-source data product architectures.

This position is open to all candidates.

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22/12/2025

Senior Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior Backend Engineer, you will design, build, and scale the core backend systems that power our security platform-directly shaping the safety of millions of Web3 users. Youll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.

Your Chain of Impact:

Lead feature development end-to-end, from requirements to production.
Build systems that protect millions of users from fraud, scams, and hacks.
Contribute across the full software development lifecycle in an agile environment.
Drive technical innovation by staying ahead of emerging technologies.
Uphold the highest standards of code quality, scalability, and performance.
Take true ownership of our product, tech stack, and development processes.

Requirements:
810 years of backend-focused engineering experience, with a proven track record of building and scaling complex systems.
Success across 23 fast-paced startup environments, demonstrating adaptability and impact.
Strong proficiency in Python for backend development.
Deep understanding of data systems, including SQL/NoSQL databases and data warehouses.
Hands-on experience with cloud platforms (AWS/GCP), Kubernetes, and CI/CD pipelines.
Curiosity and eagerness to learn; background in cybersecurity, blockchain, or data analysis is a strong plus.
Experience designing and building scalable data pipelines and real-time processing systems.
Skilled with- ETL/ELT tools (Apache Airflow/dbt/Dagster) and streaming platforms (Kafka/Kinesis/RabbitMQ/..).
Familiar with real-time analytics frameworks such as Flink, Spark Streaming, or similar.

This position is open to all candidates.

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21/12/2025

Senior Software Engineer CWPP Team

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Senior Software Engineer CWPP Team
About the role:
As a Senior Software Engineer on the CWPP (Cloud Workload Protection Platform) team, youll be part of a core group responsible for protecting our customers cloud workloads at scale. Our team scans and analyzes a wide variety of cloud assets from virtual machines and container images to object storage buckets and databases, to uncover vulnerabilities, secrets, misconfigurations, and other security risks.
This role offers a unique opportunity to build the infrastructure that powers our deep forensics engine. Youll help reconstruct customer file systems across multiple operating systems, extract OS-level and application-level metadata, and enable our security researchers to detect threats and vulnerabilities quickly and reliably. Your work will directly impact the safety and security of thousands of cloud environments worldwide.
Were looking for engineers who are passionate about operating system internals, large-scale distributed systems, and cloud security, and who want to make a meaningful impact by building robust, high-performance security platforms. This is also a great opportunity to take ownership, lead initiatives, and grow through collaboration, mentorship, and technical leadership.
Our Stack: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure
On a typical day youll:
Design, implement, and maintain scalable backend services for scanning and analyzing cloud workloads (VMs, containers, buckets, databases, etc..)
Build infrastructure for reconstructing file systems across different operating systems (Linux and Windows) to enable deep analysis
Integrate security detection engines for vulnerabilities, secrets, compliance, and malware
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Stay current with developments in the cloud security landscape, vulnerability management, and OS internals.

Requirements:
Bachelors degree in Computer Science, Engineering, or equivalent experience
5+ years of professional software development experience
Strong experience building backend services or distributed systems
Hands-on experience with Python
Solid understanding of operating system internals
Familiarity with vulnerability management concepts or tooling
Experience with major cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure)
Strong foundation in software design principles, concurrency, memory management, data structures, and algorithms
Passionate about building great products and solving real-world security challenges
Self-driven, proactive, and comfortable taking ownership and initiative
A strong communicator and a true team player who thrives in a collaborative environment
Bonus points for having:
Familiarity with container internals and runtime security
Experience with large-scale file system analysis, malware analysis, or digital forensics
Background in cybersecurity, especially in cloud security domains

This position is open to all candidates.

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09/12/2025

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Join a team that builds and operates the core data services behind products.
As a Senior Data Engineer, you will design, build and maintain:
Data pipelines and data services
Microservices and internal APIs
The infrastructure and tooling that keep our data systems reliable, observable, and scalable
This is a hands-on role that combines Data Engineering, Backend Development and DevOps.
Its ideal for someone who enjoys working across layers: from schema design and data flows, through microservice code, to Kubernetes, CI/CD and observability.
Responsibilities:
Design and maintain robust infrastructure for large-scale data processing and streaming systems.
Develop automation and deployment processes using CI/CD pipelines.
Build and operate Kubernetes-based environments and containerized workloads.
Collaborate with data engineers to optimize performance, cost, and reliability of data platforms.
Design and develop REST-API microservices.
Troubleshoot and resolve complex issues in production and staging environments.
Drive initiatives that enhance observability, scalability, and developer productivity.
Lead by example - share knowledge, mentor teammates, and promote technical best practices.

Requirements:
5 years of experience as a Data Engineer, Backend Developer, or DevOps.
5+ years of experience with Python/Java microservices (Flask, Spring, Dropwizard) and component testing.
Deep understanding of Kubernetes, Docker, and container orchestration.
Hands-on experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
Proven experience with Snowflake, MySQL, RDS, or similar databases.
Familiarity with streaming systems(e.g., Kafka, FireHose), databases, or data pipelines.
Self-learner, proactive, and passionate about improving systems and automation.
Strong communication skills and a collaborative, team-oriented mindset.
Advantages:
Experience with Kafka, Airflow or other data processing tools.
Knowledge of Terraform, Pulumi, or other IaC frameworks.
Familiarity with Datadog, Prometheus or other observability tools.
Experience with AWS (Lambda, EKS, EC2, Step functions, SQS).
Working with or building AI-driven tools.

This position is open to all candidates.

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לפני 22 שעות

Senior Backend Engineer - Platform Group

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

Required Senior Backend Engineer - Platform Group
About Us
We help modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies and over 1 Million users. Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
Come and be you with us:
Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
Vibe Engineering: AI-Assisted Development & Productivity
We believe that modern developers leverage state-of-the-art dev tools to maximize engineering efficiency.
The ideal candidate is experienced with AI-assisted development workflows, leveraging tools such as GitHub Copilot, Cursor, or similar LLM-based environments to rapidly prototype, debug, and evolve complex systems.
You should be comfortable translating ambiguous problem statements into iterative prompts, guiding AI agents to generate high-quality, maintainable code while applying strong engineering judgment. The role requires an ability to blend traditional software engineering practices with modern AI tooling-using automation, code generation, and conversational development to accelerate delivery without compromising architecture, reliability, or security.
What will you do?
As a Backend Engineer on the Platform/Infra team, youll have a key role in designing, building, and maintaining the core services, infrastructure, and tools that enable all feature teams to build and scale their microservices reliably and efficiently.

Requirements:
Requirements are often considered a measure of how equipped you are to do the job, but sometimes, they arent the only factor. If you dont have nearly enough experience, or not all the skills, wed still like to hear from you. This could be the perfect fit for you and us.
Core Technical Expertise:
6 years of experience as a software engineer with a strong emphasis on backend development.
Strong command of a backend language (Java/Kotlin/Go/Python) and its runtime (GC, threading, memory).
Solid CS fundamentals: data structures, algorithms, networking, and OS basics.
Concurrency & Distributed Systems
Hands-on experience with concurrency, multithreading, and async patterns.
Proven ability to profile and debug concurrency issues (race conditions, deadlocks, starvation).
Solid understanding of distributed system concepts: consistency, resilience, and service-to-service communication.
API & Abstraction Design
Ability to design clean, stable, and ergonomic APIs.
Experience building reusable, versioned, and backward-compatible internal libraries/frameworks.
Platform Engineering & Reusability
Experience building internal libraries, frameworks, or SDKs consumed by multiple teams.
Strong ability to design scalable abstractions that balance flexibility and simplicity.
Database & Storage:
Strong practical experience with relational databases (PostgreSQL/MySQL), indexing, and query optimization.
Familiarity with distributed storage/message systems (Redis, Kafka, Elastic/OpenSearch).
Understanding of consistency models, failure modes, and data distribution strategies.
Scale & Performance
Experience designing and operating systems at scale (high throughput, low latency, multi-tenant).
Skilled in performance optimization, profiling, and bottleneck identification.
Knowledge of scaling strategies (sharding, partitioning, caching tiers).

This position is open to all candidates.

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8498478

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01/01/2026

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced and visionary Data Platform Engineer to help design, build and scale our BI platform from the ground up.
In this role, you will be responsible for building the foundations of our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics, ML models and business insights that serve both business intelligence and product needs.
You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.
If you enjoy architecting from scratch, turning raw data into powerful insights, and owning the full data lifecycle - this role is for you!
Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability and security.
Lead the design and architecture of the data platform - from integration to transformation, modeling, storage, and access.
Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.
Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.
Integrate modern tools and frameworks such as Airflow, dbt, Databricks, Power BI, and streaming platforms.
Collaborate cross-functionally with product, engineering, and analytics teams to translate business needs into data infrastructure.
Promote a data-driven culture - be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

Requirements:
5+ years of hands-on experience in data engineering and in building data products for analytics and business intelligence.
Strong hands-on experience with ETL orchestration tools (Apache Airflow), and data lakehouses (e.g., Snowflake/BigQuery/Databricks)
Vast knowledge in both batch processing and streaming processing (e.g., Kafka, Spark Streaming).
Proficiency in Python, SQL, and cloud data engineering environments (AWS, Azure, or GCP).
Familiarity with data visualization tools ( Power BI, Looker, or similar.
BSc in Computer Science or a related field from a leading university
Nice to have
Experience working in early-stage projects, building data systems from scratch.
Background in building operational analytics pipelines, in which analytical data feeds real-time product business logic.
Hands-on experience with ML model training pipelines.
Experience in cost optimization in modern cloud environments.
Knowledge of data governance principles, compliance, and security best practices.

This position is open to all candidates.

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8482840

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1 ימים

Senior Data Engineer I - GenAI Foundation Models

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Senior Data Engineer I - GenAI Foundation Models
21679
The Content Intelligence team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&A systems, and free-text search. Beyond this, the team is building a cutting-edge platform that processes millions of images and textual inputs daily, enriching them with ML capabilities. These enriched datasets power downstream applications, helping personalize the customer experience-for example, selecting and displaying the most relevant images and reviews as customers plan and book their next vacation.
Role Description:
As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

דרישות:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 6 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.
You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.
You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
Strong programming skills in languages such as Python and Java.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Experience with Data Warehousing and ETL/ELT pipelines
Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and המשרה מיועדת לנשים ולגברים כאחד.

עדכון קורות החיים לפני שליחה

8498339

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