Top Data Engineer Jobs

Build and maintain ETL/ELT data pipelines, prepare and profile analytical datasets, perform database feature engineering, support anomaly detection, collaborate with data scientists and product owners, and define data quality practices to deliver reliable data products.

Design, implement, optimize, and maintain scalable, high-availability database solutions for a SaaS healthcare product. Integrate client data, resolve complex data issues, refactor systems for Azure, optimize MSSQL performance, participate in code reviews, and deliver features within Agile/Scrum to ensure reliable, high-performance data services.

As a Data Engineer, you will build and own the data infrastructure, design pipelines, ensure data quality, and implement DataOps practices while collaborating closely with product and engineering teams.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

The Data Engineer will design, build, and maintain scalable data pipelines, collaborating with cross-functional teams to support analytics and business operations.

The Data Engineer will design and optimize ETL jobs using PySpark, build data pipelines, and collaborate on enterprise data systems.

The Principal Data Engineer will design and implement data infrastructure for Voice AI products, lead a team of data engineers, and optimize data systems for machine learning. Responsibilities include building data pipelines, driving infrastructure strategy, and collaborating with cross-functional teams.

The Data Engineer will develop cloud-based data pipelines, collaborate with clients on data architecture, and utilize engineering best practices to provide effective data solutions.

The Data Engineer will develop data pipelines and solutions on cloud platforms, advise clients, collaborate with users, and ensure effective data architecture.

Data Engineers at CapTech develop data pipelines using AWS, Azure, or GCP, advising clients on optimal cloud solutions and enhancing data architecture.

The Data Engineer will develop data pipelines, collaborate with clients, advise on cloud technologies, and solve complex data problems.

Data Engineers at CapTech build and maintain data pipelines on cloud platforms, advise clients on technology usage, and ensure data architecture maximizes client value.

Data Engineer to develop data pipelines using AWS, Azure, or GCP, advise clients on cloud resources, and collaborate with stakeholders to enhance data architecture.

The Data Engineer will develop data pipelines, advise clients on cloud solutions, and collaborate to maximize data architecture value.

CapTech seeks a Data Engineer to develop data pipelines, advise clients on cloud technologies, and collaborate on data architecture solutions while leveraging AWS, Azure, or GCP.

The Databricks Data Engineer will design and implement ETL pipelines, manage data ingestion processes, and collaborate with business teams to create analytics solutions.

Design, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

The Junior Data Engineer will work with data to enhance trading systems, support data warehouses, and collaborate on technical solutions with the team.

As a Data Engineer, you will build and maintain scalable data pipelines, implement data engineering frameworks, and support AI initiatives. You will also design processes for data cleansing, transformation, and orchestration while adhering to engineering standards.

As a Data Engineer II, you will design and operationalize complex data solutions, focusing on data transformation, governance, and collaboration across teams to enhance analytics capabilities.

Senior individual contributor leading design and build-out of enterprise Azure cloud data platform capabilities. Defines architecture, reusable patterns, and standards; provides hands-on implementation, technical mentorship, and cross-functional alignment to enable scalable, secure analytics and data solutions.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Principal Data Engineer will design and optimize data pipelines, mentor team members, develop data products, and ensure data integrity while collaborating across teams.

The Data Engineer will develop and deploy software in government environments, manage data quality, and establish schemas while ensuring data validation steps are set up for a federal customer.

The Data Engineer will develop Python data applications, collaborate with teams to optimize data solutions, and maintain production operations support.