דרושים » דאטה » Senior Data Engineer

Required Senior Data-Oriented Backend Engineer
As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.
Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals
What youll do
Solve diverse, complex problems at a large scale
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production
Analyze and improve performance, scalability and stability of our products, environments and tools
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

We are seeking a Big Data Engineer with at least 3 years of experience. A strong understanding of data structure is critical.
You will design, develop and maintain data systems, optimize pipelines, and ensure data integrity.
Data Engineers shape and improve leading mobile analytics solutions while using cutting edge technologies such as Scala, Spark, Hadoop, Astronomer, BigQuery, and many more.
What youll do
Own and develop our products and features end-to-end - from design to production
Collaborate with Product Managers and Software Engineers to deliver complex products.
Develop and maintain scalable data pipelines.
Implement ETL processes and data integration.
Optimize data performance and ensure security.

Required Senior Data Engineer
Herzliya
Were a passionate, collaborative, and professionally diverse Data Platform team, famous for building world-class high-scale infrastructure that processes tens of millions of events per second.
Now, were evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.
This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.
If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship
What youll do
Architect metadata-aware data platforms that support scalable and observable pipelines
Create and evolve knowledge graphs, schemas, and lineage tracking systems
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.

Are you a software engineer passionate about building cutting-edge systems?enior
Are you excited about shaping the future of security through Big Data and AI?
Who We Are?
We're part of the Cloud Security Intelligence group, owning one of the largest Big Data environments in Israel.
Partner with the best
Our team builds and operates intelligence-driven products that enable customers to detect and respond to security threats at scale.
As a Senior Software & AI Software Engineer, you'll play a key role in
Designing, developing, and deploying cloud-native, high-scale Big Data systems, Cloud (Azure/GCP).
Building and optimizing data pipelines (Spark, Delta Lake, Airflow, Databricks).Integrating AI/ML models into production environments to deliver real-time insights.
Leading AI-driven initiatives, from PoCs to customer-facing features.
Collaborating across product, UX, data science, and engineering to shape the next generation of security tools.
Leveraging technologies such as Kubernetes, Kafka, ELK, Prometheus, Grafana, and more.

Required Data Platform Engineering Team Lead (Hands-On | Data Lake Focus)
Description
Modern vehicles create an enormous amount of data. We turn that data into real-time cybersecurity detection & response (XDR), API security, and proactive quality detection for the worlds largest automotive and smart mobility companies. Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
Youll have real impact, your work powers every security alert and analytics view we deliver. Youll have room to innovate, pick new tools, refactor old ones, and set best practices. All within a people-first culture that values hybrid work, shared knowledge, and sustainable pace.
Technological background: Iceberg, Trino, Prefect ,GitHub Actions, Kubernetes. JupyterHub, MLflow, dbt
This role is full time and is Herzliya, Israel based.
Responsibilities
Spend about 70% of your time coding, building and tuning the data lake (Iceberg + Trino + dbt) for fast, cost-effective queries.
Lead and mentor skilled data engineers: code reviews, pairing, growth plans, and future hiring.
Own the platform roadmap including schema design, query-engine upgrades, governance and new technology choices.
Design and maintain well-partitioned tables and views so DS, DA, users and product teams can work faster and effectively.
Automate ETL data-digests and ML model training with Prefect, and own the pipelines for deployments (GitHub Actions → Kubernetes), data-quality checks, monitoring and SLOs.
Enhance and scale our ML platform, and automate the machine-learning lifecycle (MLflow, feature stores, model builds and deployment).
Stay focused on the data lake.

Does building the next generation of AI/ML platforms excite you?
Do Big Data challenges and open-source innovation speak your language?
Join our Aegis team
Aegis is an end-to-end Big Data AI/ML platform built on top of Linode. It bridges the gap between research and production, enabling teams to innovate faster and deliver ML products more efficiently. We leverage open-source tools and AI accelerators to avoid reinventing the wheel integrating across platforms where it matters most.
Make a difference in your own way
You'll join our growing Engineering group, working hands-on to shape a powerful, flexible ML platform that supports real-world, large-scale data and AI workflows. You'll be a key contributor to an environment that spans Kubernetes, Spark, MLFlow, JupyterHub, and PyTorch and that pushes the boundaries of performance and collaboration.
In this role you will be:
Designing and implementing scalable data and ML pipelines using Spark, MLFlow, and Kubernetes
Building platform components in Python or Scala to connect research and production environments
Integrating with orchestration tools such as Argo Workflows (or equivalents)
Supporting hybrid data environments across S3/ADLS and cloud/on-prem compute
Collaborating with researchers and MLOps engineers to deliver reproducible and high-performance workflows.

Are you excited to work with innovative security products?
Do you enjoy creating innovative and strategic solutions to solve complex problems?
Join our team!
We are changing how organizations protect their data centers and clouds from advanced threats. Our team boasts some of the most talented and experienced cybersecurity and data center experts. We're always looking for new people to join us, inspire us, and improve us.
What does our team do?
The Platform team is responsible for developing complex application infrastructure, ensuring our product's efficient and seamless growth. They deliver direct and meaningful impact to our customers and R&D teams.
What will you do:
Leading new infrastructure initiatives and problem-solving from requirements to delivery in the main components of our system
Writing reliable, efficient, secure, and scalable code.
Addressing software challenges at the forefront of today's technology, optimizing, and putting emphasis on performance and security.
Driving the team's technical roadmap and mentoring more junior developers.
Collaborating with different teams, to identify areas where infrastructure initiatives could contribute to our development efficiency and scalability
Communicating with our customers and leaving a favorable impact.
Being an integral part of our thriving culture and taking an active part in the constant improvement process.

We are seeking a seasoned and strategic Head of BI to lead our Business Intelligence group.
In this pivotal role, you will be responsible for overseeing the full BI stackfrom data infrastructure and pipelines to analytics and reportingwhile managing a team of data engineers and analysts.
You will drive the design and execution of our data strategy, ensure delivery of trusted insights across the organization, and lead the team responsible for building and maintaining our data platform and analytics capabilities. This is a hands-on leadership role requiring a balance of technical depth, managerial experience, and strategic thinking.Responsibilities
What Youll Be Doing:
Lead, mentor, and scale a cross-functional team of BI Analysts and Data Engineers.
Own and evolve our data warehouse architecture, ensuring integrity, scalability, and performance (Snowflake preferred).
Oversee the design and development of ETL/ELT pipelines and semantic data models using tools such as dbt, Python, and Airflow.
Collaborate with senior stakeholders to align business goals with data priorities, translating requirements into scalable solutions.
Define and implement best practices across the entire BI lifecycle: data ingestion, transformation, modeling, visualization, and governance.
Deliver robust, actionable dashboards and insights that drive key business decisions and KPIs.

At CodeValue , we specialize in delivering cutting-edge software solutions and driving innovation across industries. We are now looking for a Data Engineer to join our team and play a key role in building and optimizing large-scale Big Data systems in production environments.
Key Responsibilities
* Design, implement, and maintain Big Data pipelines in production.
* Work extensively with Apache Spark (2.x and above) , focusing on complex joins, shuffle optimization, and performance improvements at scale.
* Integrate Spark with relational databases, NoSQL systems, cloud storage, and streaming platforms
* Contribute to system architecture and ensure scalability, reliability, and efficiency in data processing workflows.

At Infinidat, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We’re looking for passionate and bright individual who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s S3 Protocol Development team. As a Software Engineer in the S3 Protocol Development team, you will design and implement core features of an S3-compatible object storage system. You will work on high-performance data paths, distributed systems logic, and protocol compliance to ensure seamless integration with high performance applications and data protection applications. Your work will directly.

Responsibilities:


* Design, develop, and optimize core S3 protocol components in a large-scale distributed storage system.
* Ensure compliance with AWS S3 API standards and extend functionality with advanced features.
* Collaborate with cross-functional teams on scalability and performance optimizations.
* Troubleshoot and resolve complex issues in development and test environments.
* Participate in code reviews, design discussions, and architectural decision-making.
* Continuously explore and evaluate new technologies and approaches to enhance protocol efficiency and system reliability.