Top Data Engineer Jobs

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

As the first Data Engineer, design and implement a scalable data platform, build data pipelines, and establish data modeling standards. Enable BI accessibility and document core metrics.

As a Data Engineer, design and maintain data pipelines, ensure data quality, and support AI workflows using modern tools and cloud environments.

Design, build, and maintain scalable GCP data pipelines and ETL/reverse ETL processes using Dataflow, Dataform, and BigQuery. Develop secure APIs for ingestion, optimize data models and Datastream integrations, implement monitoring, and ensure GDPR/CCPA-compliant data governance for player analytics and fraud detection.

The Sr. Data Engineer is responsible for application development, database performance monitoring, data analytics, and ensuring compliance with quality standards.

As an AI Data Engineer, ensure the reliability and accuracy of AI Agents through systematic evaluation and validation, utilizing strong analytical skills and data quality principles.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

Design, build, and maintain scalable data platforms and pipelines (ETL/ELT). Support data ingestion, parsing, transformation, and analytics; collaborate with cross-functional teams to deploy and operate data solutions for mission-driven clients.

As a Data Engineer, you will design and maintain scalable data platforms, develop ETL workflows, and support data analytics initiatives in a collaborative team environment.

The Data Engineer at Booz Allen will design, develop, and maintain data applications and pipelines while mentoring a multidisciplinary team to derive insights from complex data systems.

As a Data Engineer, you'll develop and deploy data pipelines, support data collection and transformation activities, and work in a fast-paced environment to assist clients with actionable insights from diverse datasets.

The role involves building data pipelines, processing structured and unstructured data, and collaborating with a multidisciplinary team on technology solutions for clients in various sectors.

As a Senior Data Engineer, you'll design and maintain data applications, develop ETL workflows, and collaborate with teams to harness data for critical missions.

As a Data Engineer, you'll develop scalable data pipelines, build applications, integrate data sources, and support decision-making efforts while collaborating with team members.

The Data Engineer will develop and maintain scalable data stores and pipelines, support ETL processes, and collaborate with teams for data systems' performance and availability.

As a Data Engineer at Booz Allen, you'll manage data engineering activities, develop scalable platforms, and work with multidisciplinary teams to extract meaningful insights from big data.

Develop and maintain data pipelines and data services for the life insurance market, ensuring data quality and supporting analytics needs while collaborating with team members and following best practices.

Support CI/CD pipelines and AWS cloud infrastructure in a collaborative environment. Responsibilities include monitoring code execution, managing cloud resources, and assisting with containerization and documentation.

The Data Engineer III designs, builds, and maintains scalable data pipelines and systems, ensuring data quality and supporting integration. They collaborate with cross-functional teams and mentor early-career engineers, optimizing data workflows and implementing automation for insights generation.

Design and optimize data pipelines for web scraping and processing data. Collaborate with ML engineers and develop APIs while preparing data for analysis.

Develop and implement data pipelines in Databricks, ensuring data governance and compliance while collaborating with teams on ML workflows. Optimize data ingestion and conduct quality analysis.

The Databricks Data Engineer will develop and implement ETL pipelines, CI/CD pipelines, and ensure data governance while collaborating with teams.

As a Data Engineer at Lindy, you'll design ETL pipelines, develop dashboards, and collaborate with leadership to derive critical business insights.

The Data Engineer II builds data science tools and infrastructure, collaborates with engineers, mentors interns, and enhances ETL processes.

Design, develop, and monitor large-scale cloud-native data solutions and ETL pipelines; support ML model deployment, ensure code hygiene and CI/CD, mentor engineers, produce documentation and runbooks, and engage with clients to deliver analytics-driven solutions.