Top Senior Data Engineer Jobs

Lead design and implementation of scalable data architectures and pipelines for real-time and batch processing; mentor junior engineers; ensure pipeline reliability, monitoring, security, and governance; collaborate with cross-functional teams and adopt new data technologies.

Lead data engineering for a healthcare scheduling platform rebuild: map legacy multi-TB schema, design target schema, build translation layer (views/materialized views and write mappers), ensure data consistency during parallel systems, plan per-tenant cutover with verification and rollback, tune DB performance, instrument data quality/lineage/audit, and mentor engineers.

Design, build, and maintain scalable ELT/ETL data pipelines and data models on cloud platforms (preferably Snowflake). Enable batch and near-real-time integrations, ensure data quality/monitoring, create APIs and production-ready datasets for BI, analytics, and ML, optimize performance and cost, document architectures, evaluate new technologies, and mentor engineers.

The Senior Data Engineer will architect event-driven data pipelines, automate ETL processes, and ensure operational excellence in NVIDIA's financial infrastructure.

The Staff Data Engineer will lead the architecture and reliability of Hinge Health's data platform, manage technical complexity across teams, set data standards, and enhance engineering practices.

As a Senior Staff Data Engineer, you'll set the technical vision for data architecture, lead initiatives across teams, mentor engineers, and ensure platform reliability, while integrating data systems with ML pipelines effectively.

Design and build scalable batch and streaming data pipelines, lead architecture for Lakehouse platforms, and mentor junior engineers while optimizing data quality and performance.

As a Staff Data Engineer, lead significant data projects, ensuring scalable architectures and optimized data pipelines, while mentoring others and collaborating cross-functionally.

The Senior Data Engineer will design, build and deploy data solutions for AI technologies, mentor junior engineers, and collaborate across teams.

Design, develop, and maintain large-scale data pipelines and ETL processes. Implement and optimize data storage and processing on BigQuery/GCP, ensure data quality and monitoring, participate in code reviews, mentor junior engineers, and help launch data-driven tools.

Design, build, and maintain scalable Databricks-based data pipelines and ELT workflows; develop and document dbt models; define data modeling methodology; ensure data quality, reliability, and scalability; collaborate with clients and cross-functional teams; provide technical guidance and deliver improvements to clients' data infrastructure and analytics capabilities.

As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.

The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.

In this role, the Senior Data Engineer designs and implements data architecture for analytics and ML initiatives, develops ETL/ELT pipelines, and ensures data quality and compliance, while mentoring junior team members.

The Senior Data Engineer will drive the migration from Databricks to Snowflake, building scalable cloud-native data infrastructure and ensure data reliability for analytics and reporting.

Lead the development and operation of a data lake for cyber operations, design schemas and indexes, build and evolve ETL pipelines, mentor engineers, and drive technical initiatives.

The role involves leading the development of data lakes, designing schemas, building ETL pipelines, and mentoring engineers while ensuring data quality and performance.

The Senior Data Engineer will design and maintain data processing systems, enhance ETL components, and ensure data security and integrity while mentoring junior staff.

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.

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.

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/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.

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.