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Data Engineer

Data Engineer

Motion RecruitmentDallas, TX, United States
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We're looking for a Data Engineer to join a high-performing, collaborative engineering team focused on building and optimizing the infrastructure that powers our healthcare data platform. In this role, you'll take ownership of end-to-end data pipelines and play a key part in delivering enterprise-level data solutions that drive real-world impact.

This is a fast-paced environment where your work will directly influence the performance, scalability, and reliability of our data systems-particularly in ingesting and transforming large-scale healthcare datasets. Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines using Python , SQL , and Snowflake
  • Build automated, testable, and maintainable data workflows to support core analytics and reporting functions
  • Leverage AWS services (e.g., S3, Step Functions, Batch, DynamoDB) to deploy and scale data applications
  • Integrate data validation and unit testing into the development process
  • Collaborate closely with data scientists, analysts, and engineers to deliver high-quality datasets and APIs
  • Work with large healthcare data sources (including claims data) to build efficient and reliable data ingestion processes

What We're Looking For

  • Hands-on experience with ETL pipeline development using Python and SQL
  • Strong working knowledge of Snowflake , Pandas , PySpark , and AWS data services
  • Proven ability to work with and process large datasets (1GB+) efficiently
  • Experience with healthcare data , particularly claims or clinical data, is strongly preferred
  • Familiarity with shell scripting for automation and task orchestration
  • Detail-oriented mindset with a focus on data quality, validation, and debugging
  • Ability to commit to 40 hours per week for a minimum of 6 months
  • Posted by : Carter Smith

    Specialization :

  • Data Engineering
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    Data Engineer • Dallas, TX, United States

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