Top Data Engineer Jobs

Design, build, and maintain Azure-based data infrastructure and pipelines; integrate disparate data sources; implement data governance and quality; support retail analytics product discovery and insights; establish standards and best practices; mentor team members and consult cross-functionally to drive business growth.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Data Analytics Engineer will enhance Salesforce analytics, translate business requirements into technical specifications, maintain data flows, and ensure data quality and reporting standards.

Design, build, and validate pipelines to ingest, standardize, and publish real-world healthcare datasets (claims, EMR, registry). Perform SQL, Python, and SAS transformations, OMOP conversions, QA, and vendor communications to deliver high-quality datasets for analytics and research.

The HR Data Engineer/Data Scientist will design and maintain data integration pipelines for workforce-related datasets, ensuring high-quality data and collaborating with stakeholders. Responsibilities include automating data workflows, developing documentation, validating data, and implementing governance frameworks.

Develop and design data pipelines, optimize data delivery and automate processes to support end-to-end solutions in various settings.

The Data Engineer designs and maintains scalable data infrastructure to support enterprise products, ensuring efficient data ingestion, transformation, and delivery across systems while collaborating with cross-functional teams.

The Data Engineer will lead the migration of large datasets from legacy systems to AWS cloud, develop analytic applications, and manage SQL Server and Oracle databases.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

Design, build, and maintain Databricks-based data warehouse and lakehouse solutions for healthcare data. Implement ETL/streaming pipelines, data governance, security (PHI/PII), Infrastructure-as-Code, cost optimization, and pipeline monitoring while collaborating with cross-functional teams to deliver reliable data products.

Design, build, and maintain scalable, reliable data pipelines and services. Write well-tested Python and SQL code, work with orchestration (Airflow), containers, and cloud infrastructure. Collaborate cross-functionally to deliver data products and improve development processes.

Build and maintain Databricks-based ETL/ELT pipelines, transform and model data, optimize workflows, monitor and troubleshoot pipelines, and collaborate with cross-functional teams.

The Data Engineer is responsible for designing data pipelines, optimizing data delivery, supporting stakeholders, and managing product roadmaps while ensuring compliance with security clearance requirements.

This internship resembles a Data Engineer role, allowing participants to work with data automation projects, collaborate with teams, and implement AI-driven solutions while gaining practical experience.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

The Specialist, Data Engineering will design and develop data solutions, integrate data sources, and build data pipelines to support analytics and product offerings.

Responsible for building ETL/ELT pipelines, optimizing data workflows, monitoring data quality, and collaborating with other teams for data governance and analytics.

The Data Engineer will build and operationalize data solutions, analyze data sources, ensure data governance and quality, and support analytics across teams.

The Principal Data Engineer will design and implement enterprise data frameworks, mentor teams, and ensure data quality while collaborating with stakeholders.

The Data Engineer II will develop and support data pipelines, collaborate with teams, ensure data delivery, and lead projects while mentoring junior engineers.

The Data Engineer at Booz Allen will design, develop, and maintain data applications and pipelines while mentoring a multidisciplinary team to derive insights from complex data systems.

As a Senior Cloud Data Engineer, you will design and maintain scalable data pipelines, collaborate with cross-functional teams, and ensure best practices in data engineering.

As a Data Engineer, you will develop and optimize data solutions, manage data pipelines, and support analytics needs through collaboration and problem-solving.

The Data Engineer II designs and supports complex data pipelines, optimizes data systems, and collaborates with engineering and analytics teams to meet data needs.