Top Senior Data Engineer Jobs

The role involves designing and scaling data infrastructures for private equity, developing ETL/ELT pipelines, ensuring data quality, and collaborating with various teams on data governance.

Design and build end-to-end data pipelines and integrations on Databricks, implement medallion architectures, develop streaming and NiFi pipelines, integrate purpose-built stores, operationalize ML/MLOps (training, deployment, monitoring), and explore LLM/RAG generative AI solutions while enforcing data governance, security, and performance for large-scale analytics.

The Cloud Data Engineer will design and develop data warehouse solutions, create efficient data pipelines, collaborate with teams, and monitor system health.

The Databricks Data Engineer will design and implement ETL pipelines, manage data ingestion processes, and collaborate with business teams to create analytics solutions.

The Data Engineer will develop data pipelines and integrations, focusing on healthcare data to enhance financial operations, ensuring efficient data handling and driving impactful solutions.

The Principal Data Engineer will lead technical direction, manage data platforms, make architectural decisions, mentor engineers, and ensure data systems operate reliably.

Design and implement scalable, secure enterprise geospatial database solutions using Esri technology. Collaborate across project phases to configure, maintain, tune, secure, and automate databases, support ArcGIS applications, and provide technical guidance for migrations, integrations, and operational readiness for Defense/Intel clients.

Consult with customers to design and implement enterprise geospatial database solutions using Esri/ArcGIS technologies. Configure, secure, monitor, and automate databases (backup/HA/DR, performance tuning, data loading). Collaborate across teams, provide technical guidance, and support database migrations and integrations for mission-critical defense and intel applications.

Design, implement, and maintain secure, high-availability geospatial and enterprise database solutions. Collaborate with cross-functional teams to configure, automate, monitor, and tune databases, enforce security and compliance, and provide technical guidance for migrations and integrations supporting ArcGIS web, desktop, and mobile workflows.

Design, implement, and maintain scalable, secure geospatial database solutions supporting ArcGIS web/desktop/mobile. Collaborate with cross-functional teams on requirements, configuration, backup/DR, performance tuning, security, automation of data workflows, and provide technical guidance throughout implementations for Defense and Intel clients.

Consult with customers to design and implement scalable, secure enterprise geospatial database solutions using Esri/ArcGIS technologies. Configure and maintain database environments (backup, HA/DR), monitor and tune performance, implement security and access controls, automate data workflows, and provide technical guidance across requirements, design, build, and deployment phases. Support integration with ArcGIS web, desktop, and mobile applications for Defense and Intel clients.

The Senior IT Data Engineer will design and implement enterprise data architectures, develop scalable ETL/ELT pipelines, and support data-driven initiatives for the Federal Reserve Board.

The Principal Data Engineer will design and implement scalable data platforms, lead architecture discussions, and mentor teams. Requires expertise in Azure and Databricks.

Lead design and development of web UI and REST middleware within an Agile team. Define requirements and acceptance criteria, implement Java/Spring and Angular solutions, build CI/CD pipelines, work with Product Owner and testers, and produce/update design documentation.

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.

Design and build cloud-native data warehousing and ELT/ETL solutions, develop data pipelines and BI reports, lead data architecture, ensure QA/CI-CD/DevOps practices, mentor engineers, and manage complex projects to deliver compensation-related analytics for financial services clients.

Lead the design and evolution of the enterprise data platform, establish standards, mentor teams, and collaborate across departments to deliver high-quality data products.

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

Design and implement data integration solutions, build data pipelines, manage cloud resources, and develop real-time data flows using AWS technologies and Snowflake.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

The Lead Platform Data Engineer will design data architecture, develop scalable workflows, ensure data quality, and mentor teams in modern DataOps practices.

As a Data Engineer, you'll build data infrastructure for analytics, drive business growth strategies, and enhance personalized user experiences at Eight Sleep.

The Principal MarTech Data Engineer will design data architecture, build data pipelines, ensure data quality, and lead cross-functional technical initiatives to enhance marketing technology and data privacy infrastructure.

Design, build, test, and operationalize data pipelines and solutions. Analyze data sources, apply transformations and quality controls, resolve incidents, and collaborate with teams to deliver data products supporting analytics, BI, and AI/ML use cases.

Design, build, and operate scalable data pipelines and platforms for enterprise clients. Develop ETL/ELT workflows, data ingestion and processing for structured and unstructured data, guide cross-functional teams, and support monitoring, scaling, and operationalization of data solutions.