Top Data Engineer Jobs

Design, build, and maintain data collection, storage, and full‑stack applications for manufacturing and test data. Implement CI/CD, APIs, databases, and deployment architecture; support internal users and test teams; mentor junior developers and follow software best practices.

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.

Lead design, build, and operate scalable batch and real-time big data pipelines, streaming platforms, and cloud-native data solutions. Enable data lake/lakehouse and data mesh architectures, ensure data quality, governance, observability, and cost/performance optimization. Collaborate with analytics and AI teams, support ML/LLM workloads, and mentor engineering teams.

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.

The Data QA Engineer is responsible for ensuring data quality through automated testing frameworks, SQL queries, and collaboration with analytics teams.

The Data Visualization Developer will build and maintain the data and analytics architecture, develop visualizations, and collaborate with stakeholders to support the management of the investment portfolio.

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

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 Analytics Engineer analyzes and delivers business intelligence solutions, builds data pipelines, and collaborates with clients to meet their data-driven needs.

The Senior Data Engineer will develop the data platform, support customers with technical work, and optimize data performance using SQL and Snowflake. They will also collaborate with teams and may need to attain security clearance.

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.

The role requires designing, building, and maintaining data pipelines using Big Data technologies. Responsibilities include developing ETL processes, ensuring data integrity, collaborating with teams, and applying AI techniques to drive efficiency.

The Data Engineer will design and maintain data pipelines using Big Data technologies, optimize ETL processes, and apply AI techniques. Responsibilities include collaborating on data solutions and ensuring data quality and security.

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 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.