Top Senior Data Engineer Jobs

Design, build, and maintain scalable data architectures using Databricks on AWS or Azure, ensuring data integrity and optimizing workflows.

Designs, implements, and administers distributed database platforms (Oracle, CockroachDB, Postgres, NoSQL, Snowflake, etc.), supports replication and high-availability, performance tunes queries, automates deployments with containers and cloud tooling, collaborates with engineering and ops teams, and writes operational documentation for production trading systems.

Design, build, and operate large-scale batch and streaming data pipelines and feature datasets for ads ML systems. Ensure correctness, reproducibility, SLA compliance, observability, and integration with online feature serving while driving architecture and best practices.

Lead design and delivery of enterprise data platforms using Snowflake and AWS. Architect ELT/CDC pipelines, implement Data Vault 2.0 and dimensional models, optimize Snowflake performance, mentor engineers, partner with stakeholders, and ensure operational reliability and observability for analytics and BI workloads.

Design, develop, and maintain large-scale data architectures and pipelines; deploy cloud-native data applications and CI/CD; support ML model productization; enforce code hygiene and best practices; mentor junior engineers; produce documentation and runbooks; collaborate with consulting teams and clients and travel as required.

Designs, builds, and maintains cloud-based ETL/ELT data pipelines and platforms on AWS/Azure (Airflow, Snowflake). Develops CI/CD pipelines, performs DevOps, database development, data architecture, testing, and supports multiple project phases to deliver reliable, reusable data solutions.

The Senior Data Engineer designs and develops data pipelines, collaborates with subject matter experts, mentors junior engineers, and implements data integration solutions within an Agile environment.

Lead the development of scalable, cloud-native analytics solutions, design data pipelines, optimize BI solutions, and engage with stakeholders.

Lead data engineering efforts, build ETL pipelines and data lake infrastructure, ensure data quality, and support cross-functional analytics and BI teams.

The Lead Data Engineer will manage data engineering efforts, build scalable pipelines, ensure data integrity, and collaborate with BI and Analytics teams to support business growth.

The Lead Data Engineer will build scalable data pipelines and manage data infrastructure to support BI and analytics, ensuring data integrity.

Lead scalable data engineering efforts to provide reliable data for decision-making, build efficient ETL and data lake processes, and support cross-functional teams with data solutions.

Lead scalable data engineering efforts, build ETL processes, manage data lake infrastructure, and collaborate cross-functionally to support analysis and reporting.

The Senior Data Engineer will lead data engineering projects, build scalable ETL processes, and support cross-functional teams with reliable data.

Lead scalable data engineering efforts, optimizing ETL and data lake processes to provide actionable insights for cross-functional teams, ensuring quality and integrity of data.

Lead scalable data engineering efforts, build ETL and data lake processes, and ensure data integrity for actionable insights across all units.

Lead scalable data engineering efforts, build and optimize ETL and data lake processes, and ensure analytics infrastructure supports strategic growth across business units.

Lead data engineering efforts, build scalable ETL processes, manage data infrastructure, and collaborate with cross-functional teams to enhance data-driven decision-making.

The Senior Data Engineer will lead scalable data engineering efforts, optimizing ETL processes, managing data lakes, and collaborating with BI and analytics teams to ensure data-driven decision-making.

The Lead Data Engineer will manage scalable ETL pipelines, enhance data infrastructure, and support cross-functional teams with reliable data insights.

Lead scalable data engineering initiatives to support BI and analytics, ensuring reliable data for strategic decision-making across teams.

Senior Data Engineer responsible for designing, building, and operating scalable Databricks-on-AWS data pipelines, implementing CI/CD and IaC, ensuring data quality and governance, and mentoring junior engineers to support analytics and ML workloads.

The Senior Data Engineer is responsible for developing and optimizing data models, collaborating on data architecture, and managing data flow for analytics and business intelligence.

The Senior Data Platform Engineer will enhance data infrastructure, improve data quality, and lead CDC initiatives, collaborating across teams to optimize data usage and decision-making.

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