Top Senior Data Engineer Jobs

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

Design and develop data solutions, maintain databases, enhance data quality, mentor junior engineers, and lead data process improvements.

Lead data engineering projects and develop advanced architectures for large datasets. Collaborate with leadership to drive business growth and efficiency through data.

Lead data mapping efforts for migrating data from legacy systems to Snowflake, authoring technical blueprints and ensuring feasibility between business and engineering teams.

The Senior Data Engineer will design and implement data pipelines, ensure data quality, and collaborate with stakeholders to advance data initiatives.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

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.