Top Data Engineer Jobs

The Senior Data Engineer will design, build, and optimize scalable data pipelines and maintain data architectures using PySpark and AWS, ensuring data quality and performance for analytics.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

The Senior Data Engineer will focus on Data Modeling, utilizing SQL, Snowflake, and Apache Airflow to develop efficient data models and deliver data products.

Design, build, and maintain scalable cloud-native ETL/ELT pipelines and serverless workflows using Python, Airflow, and AWS. Implement dbt transformations, manage DynamoDB and other storage, enforce data quality and governance, automate CI/CD, and mentor junior engineers while collaborating with analytics, product, and creative teams.

Design, build, and maintain production data pipelines and tooling (CI/CD, testing, validation) using Snowflake, dbt, and orchestration tools. Model, transform, document, and optimize data to produce reliable curated datasets for analytics and solutions, enforce engineering best practices, and mentor teammates while ensuring scalability, observability, and data integrity.

Design and optimize BI semantic models and analytics workflows using PowerBI and Tabular Editor; build and transform large-scale datasets in BigQuery with dbt; implement CI/CD and deployment via GitHub and Azure DevOps; collaborate with stakeholders to deliver actionable visualizations and integrate Agentic AI into analytics pipelines.

Leads data architecture and governance initiatives, builds business intelligence solutions, mentors team members, manages data quality, and ensures compliance with governance standards.

Lead design, build, and support of cloud-based ETL, data warehousing, and reporting solutions. Develop/optimize ETL pipelines, data models, and queries; deploy containerized services on Kubernetes; automate workflows; mentor teammates; collaborate with architects, data scientists, and stakeholders to deliver scalable analytics and reporting products.

Architect, build, and maintain scalable ELT data pipelines and analytics-ready data marts. Lead dbt modeling, ensure data quality, CI/CD, and documentation. Partner with stakeholders, mentor junior engineers, evaluate tooling (reverse ETL), and drive long-term data platform strategy.

The Senior Data Engineer will manage end-to-end data processes, develop ETL/ELT pipelines, and provide analytics-ready outputs using Python, Azure, and Snowflake.

Build and maintain cloud cost attribution and cost-of-revenue models, forecast non-accelerator infrastructure demand, define unit cost metrics, surface efficiency opportunities, and create self-serve dashboards and reports to drive capacity planning and cost optimization.

Design, build, and maintain production data pipelines and the unified data model using Snowflake, dbt, and orchestration tools. Optimize, test, document, and monitor ELT workflows, enforce engineering best practices, mentor teammates, and deliver trustworthy data products for analytics and business decisions.

Build and maintain Tableau dashboards and data products by extracting and validating data (SQL/Redshift), translating business requirements, supporting stakeholders, documenting/reporting, and mentoring junior analysts to drive data-informed decisions.

As a Senior Data Engineer at EverHealth, you will design and maintain data pipelines, enhance warehouse infrastructure, and ensure data quality to support reporting and analytics for healthcare products.

The role involves designing, developing, and maintaining scalable data pipelines and applications using Scala and Spark, with a focus on performance and stability in production.

Design, implement, and maintain data pipelines on cloud platforms, using ETL technologies. Provide technical leadership and collaborate across teams.

The Senior Data Engineer designs and implements data pipelines and cloud solutions while providing technical leadership and supporting client needs in data engineering.

Senior Data Engineers at CapTech design and implement data pipelines using cloud technologies, deliver solutions for clients, and provide technical leadership within teams.

As a Senior Data Engineer, you will design and implement data pipelines, provide technical leadership, and collaborate with stakeholders to deliver data engineering solutions using cloud technologies.

Design and implement advanced data systems and pipelines using cloud technologies. Provide technical leadership and collaborate with clients to meet their data engineering needs.

The Senior Data Engineer will design, implement, and maintain data pipelines using cloud technologies, provide technical leadership, and advise clients on data engineering solutions.

As a Senior Data Engineer, you'll design and implement data pipelines on cloud platforms, collaborate with clients, and provide technical leadership while using ETL technologies and various database systems.

The Senior Data Engineer designs and maintains data pipelines, ensuring optimal cloud technology solutions while providing technical leadership and support to teams.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

Design and maintain data pipelines, provide technical leadership, and collaborate with teams to deliver cloud-based data solutions for clients.