Top Data & Analytics Jobs

The Data Engineer designs and maintains data pipelines for advanced analytics in supply chain, ensuring data quality and reliability while collaborating with cross-functional teams.

As a Data Engineer at Veeva, you will design and build robust data processing systems, implement ETL workflows, manage data architecture, and ensure data governance while collaborating with cross-functional teams.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

The Senior Data Engineer will design data models, build and manage ETL pipelines, contribute to data governance, and explore integrations with AI. Responsibilities include collaboration with teams to ensure data quality and consistency.

The Data Engineer Principal role involves designing and delivering data science solutions, creating data architectures, and optimizing data pipelines while ensuring compliance and leveraging big data technologies.

As a Senior Data Engineer, you'll deliver high-quality data platforms, implement new features, maintain functionality, conduct code reviews, and collaborate with teams to meet requirements.

As a Senior Data Engineer, you'll develop and maintain a robust data platform, collaborate on software solutions, and ensure code quality while working with modern data architectures and Agile methodologies.

The Senior Data Engineer will develop and maintain a high-quality data platform, implementing features, performing code reviews, and collaborating with teams to meet requirements.

Own operational support and optimization of enterprise data warehouse systems on AWS. Build and maintain scalable batch and streaming ETL/ELT pipelines, lead incident management and RCA, implement CI/CD and IaC, collaborate with cross-functional Agile teams, and provide shift-based on-call support while evaluating Generative AI integration opportunities.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.

The Data Engineer will manage production data quality tasks, support daily data loads, build ETL pipelines, and coordinate with teams to resolve data issues in an Azure Cloud-based environment.

Responsible for managing client data, reporting needs using SQL and BI tools, and assisting with error research in a customer-facing role.

The Lead Data Engineer designs and develops technical solutions, collaborates with Agile teams, and utilizes big data technologies, cloud computing, and full-stack development to drive digital transformation at Capital One.

As a Software Engineer, you will design cloud-native microservices, integrate data from varied sources, develop data processing routines, and collaborate with teams to enhance analytics and data governance.

The Data Engineer will manage and support the organization's Google Cloud Platform data environment, building ETL pipelines, automating workflows, and ensuring data quality.

Collaborate with cross-functional teams to enhance Netflix's Experimentation Platform. Build, maintain, and optimize data pipelines for extensive experiment analysis.

The Data Engineer will work on developing cloud-native applications, data analysis tools, and machine learning capabilities while ensuring data availability and scalability for critical users.

As a Data Engineer, you will optimize data platforms using Microsoft technologies, support clients in data challenges, and implement data solutions.

The Data Engineer is responsible for supporting data systems and applications, designing data pipelines, and integrating data tools with a focus on collaboration and agile practices.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

Lead design and delivery of complex, scalable data solutions and pipelines using SQL, Python, Synapse, Snowflake, dbt, and Fivetran. Ensure data quality, security, observability, and compliance (GDPR/HIPAA), mentor engineers, conduct architecture reviews, drive automation and cost/performance optimization, and partner with cross-functional teams to implement governance and data lineage.

As a Data Engineer, you will build and scale data pipelines, optimize advertising effectiveness, and handle large datasets using AWS, Airflow, and Snowflake.

As a Data Engineer at Common Room, you'll build ETL pipelines, process billions of events daily, and collaborate on backend projects using AWS, Postgres, and Node.js.

The Senior Analytic Data Engineer will design, develop, and maintain data infrastructure for HEDIS, ensuring efficient data flow and leading projects with limited supervision.

The Data Engineer will develop scalable data pipelines, build applications using Palantir Foundry, and collaborate with stakeholders on data integration for decision-making.