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We're looking for a DataOps Engineer to join our DataOps team, part of the DevOps & Infrastructure group. In this role, you will ensure the performance, reliability, and scalability of our large-scale (multi-terabyte) database systems that underpin the platform. You will be implementing best practices for database infrastructure, improving complex query performance, security, and maintenance. If you are passionate about data, building complex infrastructure and collaboration in a fast-paced environment, this role will be a great fit for you.
How Youll Spend Your Day
Manage, maintain and monitor our ClickHouse, Microsoft SQL Server, PostgreSQL, and OpenSearch databases, ensuring HA, backups, and proper security measures to protect data integrity
Use scripting tools (Python, Bash, PowerShell) to automate regular database and CI/CD tasks.
Collaborate closely with R&D, Security, and Product teams to enhance data infrastructure
Help plan migrations or deployments of database systems to the cloud when needed

Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecyclefrom architecture and development to deployment, monitoring, and scalingwhile ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.

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.

we are looking for a Senior Data Scientist.
As a Data Scientist, you will be a part of a large and innovative data science group, working closely with Dev teams and product managers, to create business value through Data Science and Machine Learning methods using cutting edge technology, on large and diverse datasets.
The Role consists of understanding customers' needs and product requirements, exploring data, identifying and defining functionality from conception to delivery, creating and improving algorithms and ML pipelines, building measurement tools, providing data visualizations, and more.
Deliver end-to-end ML products - including data processing, problem analysis, research, model development, validation and metrics, implemented in production and with online testing.

Were looking for a highly skilled Senior Database Engineer to join our DBA team. In this role, youll design and optimize our large-scale database infrastructure while ensuring high availability, scalability, and performance. In your day-to-day, you will:
Design and optimize our large-scale database infrastructure to meet high availability and performance standards
Identify cost-effective areas for improvement in current databases
Collaborate with developers and software architects to model, create, and maintain robust data structures and the data layer
Lead and execute technical database-related POCs and benchmarks
Conduct regular audits of database design to ensure quality and compliance with service level agreements (SLAs)
Quickly identify and resolve critical production issues and provide on-call support as needed.

Senior data Analyst.
About the Role:
Were looking for a Senior data Analyst to join our Research Department someone who loves diving into data, solving complex problems, and shaping meaningful insights that drive business decisions.
 
What Youll Do:
Work closely with the research team to connect the dots and see the bigger picture. Learn and understand the companys data -gathering mechanisms. Tackle business challenges by analyzing data and providing actionable insights. Develop advanced logic flows to detect key events and produce high-value insights. Conduct recurring and ad hoc analyses for business stakeholders. Research and implement new tools or methods to enrich and enhance datasets.
 
Who You Are:
Youre curious, proactive, and love turning data into action. You think in terms of value, not vanity metrics and youre not afraid to experiment, fail, learn, and improve. You take ownership of your work from start to finish, communicate with confidence, and enjoy collaborating with diverse minds.

We are seeking a Data Engineering Lead to own and scale data platform infrastructure

Build our new data Lakehouse to support various product and business needs
Support cutting-edge AI Agents and cybersecurity use cases
Be part of the Data and AI Algorithms group
Collaborate closely with dev teams, AI/ML engineers, security researchers and business teams
Ensure the availability, reliability and quality of our data infrastructure
Help define best practices for data modeling and orchestration at scale

We are looking for an experienced BI / Data Engineer to develop systems that make vast amount of data more accessible and efficient throughout the organization. This is a perfect opportunity if youre passionate about data and have strong analytical and technical skills.

You will be developing innovative and creative ways to deliver data and information at scale in a fast-growing, exciting industry while working closely with our data analysts, product managers, software engineering teams, and management.

Responsibilities:

Design, manage, and optimize scalable data models and BI infrastructures for internal and external stakeholders
Work with diverse relational and non-relational databases (Presto, Athena, Firebolt, MySQL, etc.)
Build and maintain reliable ETL/ELT pipelines using Airflow, Python, and Upsolver
Design and develop data visualizations and dashboards (Tableau)
Identify and implement technological solutions for large-scale analytics
Serve as the central data authority, providing guidance, documentation, and support across the company

We're looking for a skilled and motivated Data Science Team Lead to guide a team of talented data scientists in developing real-time, machine learning-based products. Youll play a key role in driving innovation - researching, designing, and deploying advanced ML models that directly enhance user experience and product performance.

This is an exciting opportunity for a hands-on leader who thrives in a fast-paced, impact-driven environment.

Responsibilities:

Lead, mentor, and inspire a team of data scientistsfostering a culture of collaboration, innovation, and technical excellence
Guide team members personal and professional development
Collaborate with product and engineering teams to identify challenges, uncover opportunities, and drive data-driven solutions
Recruit and retain top-tier talent as the team grows
Research and develop ML models using cutting-edge techniques across a range of domains
Generate new ideas and insights to improve performance and deliver business value

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At Bigabid, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.

Responsibilities:

Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.

we are looking for a Analytics Engineer.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity

Were looking for a versatile, talented, and highly motivated Data Engineer to join our growing team.

If youre passionate about solving complex problems, thrive in dynamic environments, and love working at the intersection of data engineering, machine learning infrastructure, and AI innovation, this role is for you.

As a Data Engineer, youll play a key role in shaping how data flows through the company, from building scalable pipelines and robust infrastructure to powering data science models and enabling internal teams with intelligent GenAI-powered tools. This is a hands-on, high-impact role with plenty of room for ownership, creativity, and growth.

This is a high-impact role where your work will shape how the company leverages data and AI. If you want to build, innovate, and push boundaries in a collaborative and fast-moving environment, wed love to meet you.

Responsibilities
Own the entire data lifecycle from understanding business needs and building reliable pipelines to ensuring data quality, observability, and performance.
Design, build, and scale modern data infrastructure including data lakes, warehouses, and complex ETL/ELT pipelines.
Integrate and consolidate diverse data sources (CRMs, APIs, databases, SaaS platforms) into a single, trusted source of truth.
Implement and manage CI/CD, observability, and infrastructure-as-code in a cloud-native environment.
Work with the data science team on their ML pipelines, giving data scientists the infrastructure and automation they need to deploy models to production with speed and confidence.
Collaborate with cross-functional teams to embed GenAI agents into business processes, creating smart workflows that boost efficiency and reduce manual work.
Develop frameworks and internal tooling that empower other teams to safely adopt AI and accelerate innovation.
Optimize data infrastructure for performance and cost-efficiency, with a focus on BigQuery optimization.
Ensure high data quality and integrity across large-scale ETL processes. Work closely with analysts, data scientists, and product managers to support data modeling, governance, and analytical initiatives.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, your mission is to build the scalable, reliable data foundation that empowers Yotpo to make data-driven decisions. You will serve as a bridge between complex business needs and technical implementation, translating raw data into high-value assets.
You will own the entire data lifecyclefrom ingestion to insightensuring that our analytics infrastructure scales as fast as our business.
Key Responsibilities:
Strategic Data Modeling: Translate complex business requirements into efficient, scalable data models and schemas. You will design the logic that turns raw events into actionable business intelligence.
Pipeline Architecture: Design, implement, and maintain resilient data pipelines that serve multiple business domains. You will ensure data flows reliably, securely, and with low latency across our ecosystem.
End-to-End Ownership: Own the data development lifecycle completelyfrom architectural design and testing to deployment, maintenance, and observability.
Cross-Functional Partnership: Partner closely with Data Analysts, Data Scientists, and Software Engineers to deliver end-to-end data solutions.

We're looking for an experienced Data Engineer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.

Responsibilities
Pull data from various data sources and integrate into the ETL process
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments
Optimize workloads to reduce cost and improve performance
Work closely with analysts from Product, Marketing and Data Scientists to deliver insights from over a Billion daily events and over 50 Marketing channels