Top Data Engineer Jobs

The Senior Data Platform Engineer designs and maintains a scalable data platform in Snowflake, automates pipelines, and ensures data quality for analytical applications.

As a Data Solutions Engineer, you'll manage customer data migrations and GIS onboarding from legacy systems, ensuring data quality and accuracy while interfacing with government staff.

The Data Catalog Integration Engineer will design, develop, and maintain data catalog integrations, ensuring data discovery and governance while collaborating with teams to implement scalable solutions.

The Staff Data Engineer will enhance the data ecosystem at WeightWatchers by developing data pipelines, collaborating cross-functionally, and ensuring data quality while leading projects and technical initiatives.

The Senior Data Engineer will develop scalable services, design data integration solutions, manage data pipelines, and ensure compliance in applications as part of a collaborative team.

As a Data Fabric Engineer, you will design and maintain data pipelines for SAP data, optimizing performance and ensuring data quality while collaborating with business stakeholders for analytics and reporting.

The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines, develop data models, ensure data quality, and collaborate with cross-functional teams to drive analytics and machine learning operations.

Design, build, and maintain scalable Azure-based data pipelines, lakes, and warehouses. Create ETL/ELT processes, dimensional models, and business-ready datasets. Support reporting and Power BI, implement data quality, governance, monitoring, and document platform architecture and processes while partnering with stakeholders.

As a Senior Data Engineer, you will build and maintain data pipelines, enhance analytics capabilities, manage data integration, and guide team members in transforming complex data into actionable insights.

The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.

As a Lead Data Engineer, you'll design scalable data frameworks, develop data pipelines, implement data quality checks, and collaborate with stakeholders to enhance data solutions.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

Lead the development and optimization of data transformation processes using dbt Core, Snowflake, and Python. Mentor engineers and ensure deliverables meet analytics needs.

The Senior Data Engineer will design and operate data systems, optimize data pipelines, and enhance AI workflows for legal operations. Responsibilities include data modeling, implementing governance standards, collaborating with cross-functional teams, and mentoring junior engineers.

The Senior/Staff Data Engineer will design and scale the core data platform for healthcare systems, focusing on infrastructure, tooling, and governance while mentoring engineers and collaborating with various teams.

Lead data linkage projects for Federal initiatives, ensuring compliance, developing algorithms, evaluating accuracy, and managing data security.

As a Data Visualization Engineer, you will analyze data, create visualizations, engineer data pipelines, and collaborate with clients to communicate insights effectively using various tools.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

Own and harden Plot's core data platform: stabilize high-throughput ingestion, design read-optimized schemas and partitioning, separate transactional vs analytical workloads, ensure performant data access for dashboards and AI agents, write RFCs, and raise reliability and observability across teams.

Design and modernize a scalable, secure data platform: build ETL/ELT pipelines (batch and near-real-time), migrate/operate SQL Server on AWS RDS, support transition to Microsoft Fabric, optimize performance, enforce security and governance (SOC 2), and enable AI-ready data in collaboration with engineering and business teams.

Design, build, and maintain scalable data models, ETL/streaming pipelines, and cloud-native data platforms. Ensure data quality, governance, performance tuning, and enable ML workflows. Lead cross-functional teams, mentor engineers, and implement CI/CD, monitoring, and cost-optimized solutions to support analytics and real-time inference.

Lead data analysis and engineering: preprocess and transform large datasets, build statistical and ML models, design and analyze A/B tests, create reports and dashboards, and collaborate with product and business stakeholders to deliver data-driven solutions and propose innovative approaches.

Senior Data Developer designing, developing, testing and deploying cloud-native data solutions on AWS. Build automation, integrations, data models and analytics, participate in architecture and code reviews, mentor peers, and collaborate with analytics and ML teams to enable business-driven analytics.

Design, build, and optimize scalable ETL/ELT pipelines and cloud data platforms. Integrate data from SQL Server, Yardi, Salesforce and APIs into AWS (S3, Redshift). Collaborate with analytics, data science, and business teams to deliver trusted datasets, ensure data quality and governance, and implement DevOps, CI/CD, and infrastructure automation for operational excellence.

Build, operate, and modernize scalable data pipelines and warehouse environments for lottery reporting, analytics, and AI readiness. Improve ingestion, transformations, data models, contracts, observability, lineage, and onboarding patterns. Automate operations, troubleshoot production issues, mentor engineers, and support migration from legacy to cloud architectures while ensuring data quality, reliability, and regulatory continuity.