Top Data Engineer Jobs

The Data Engineer will design, maintain, and scale ETL pipelines for blockchain data, optimize data models, and ensure timely delivery of features in alignment with product goals.

Lead ingestion and configuration of clinical trial data using tools like CDB/Illuminate. Manage data imports/exports, JSON manifests, and data mappings. Support data configuration workflows, work with SDTM structures, and collaborate with Data Engineering and stakeholders to deliver independent projects.

Design, optimize, and scale large data pipelines and lakehouse architectures across Hadoop and cloud. Lead technical design, improve data quality and observability, mentor engineers, and drive platform modernization (cloud migrations, Databricks, Delta Lake, CI/CD).

The Senior Data Engineer will manage end-to-end data processes, develop ETL/ELT pipelines, and provide analytics-ready outputs using Python, Azure, and Snowflake.

The Principal Data Analytics Engineer will design complex data models, optimize querying processes, mentor team members, and ensure data quality across financial datasets.

The Senior Data Platform Developer will build and maintain machine learning platforms, manage AI applications, and integrate data processes for Geotab's infrastructure.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

As a Data Engineer at Figma, you'll build and maintain scalable data pipelines, optimize data models, and collaborate with teams to ensure timely data delivery.

The Data Engineer will analyze data, optimize systems, and collaborate with data scientists and engineers, requiring strong SQL and PowerBI skills.

As a Data Engineer, you'll design and implement data lifecycle strategies, ensure data integrity, optimize solutions, and collaborate across teams to enhance data management.

Design and operate petabyte-scale data infrastructure: build high-throughput streaming pipelines, architect a tiered Data Lakehouse, automate orchestration and backfills, optimize embedded team data schemas, manage Kubernetes stateful deployments, and enforce data quality, governance, and access controls.

The role involves architecting blockchain systems and smart contracts, integrating blockchain data, and overseeing technical design and implementations to enhance digital asset capabilities.

Perform data migration and ETL development, data profiling/cleanup, API-based integrations, troubleshooting, documentation, and coordination with stakeholders and vendors to ensure accurate, repeatable migrations and integration stability.

Lead design and implementation of scalable data architectures and pipelines (real-time and batch), mentor junior engineers, ensure pipeline reliability and security, adopt new tools, collaborate cross-functionally, and implement data governance.

Design, build, and scale data pipelines and integrations for the TDX platform. Implement REST API integrations, ingest and unify customer data, optimize pipelines for performance and quality, ensure data security and governance, and collaborate with Product, Data Science, and customer teams to deliver reliable analytics-ready data.

Lead design and delivery of scalable data pipelines and real-time streaming solutions using PySpark and AWS EMR. Drive cloud data migrations to AWS, manage big data workloads (S3, Redshift, Glue, DynamoDB), and collaborate with architects, data scientists, and stakeholders to enable analytics and ensure data integrity and compliance.

Lead architecture and scaling of Databricks/Azure data platform, design integration patterns (APIs, event-driven, HL7/FHIR), build high-performance ETL/ELT pipelines in Python/SQL, enforce governance/security (Unity Catalog, HIPAA/SOC2), and mentor engineering teams.

As a Senior Data Engineer at First American, you will enhance data security processes, manage projects, generate reports, and collaborate with teams to secure data assets.

Lead design, build, and deploy end-to-end data and ML pipelines for imagery models. Partner with Data Science and stakeholders to prioritize use cases, integrate models into production and APIs, implement monitoring, enforce data governance and quality, define reusable frameworks, and provide technical leadership and mentoring across teams.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

As a Senior Data Engineer, you will drive data discovery and classification efforts for USSOCOM by deploying advanced platforms and managing data visibility across various environments.

Design, build, and execute data pipelines and migration strategies to move legacy data into Temenos systems. Perform data mapping, cleansing, testing, validation, and post-migration support. Collaborate with stakeholders, QA, and vendors, use Temenos migration and ETL tools, and document transformation logic while ensuring data integrity and minimal cutover downtime.

Design and maintain data pipelines, collaborate with teams for data requirements, and optimize data processes using tools like Snowflake and Informatica.

Design, build and maintain data pipelines, warehouses and lakes; implement processing and analysis algorithms; collaborate with data scientists on ML deployment; lead/coach teams and influence stakeholders to ensure secure, accurate, and scalable data platforms.

The intern will assist the Data Operations team in optimizing data workflows, developing automation scripts, and maintaining data systems while gaining hands-on experience.