Jobs · Information Technology

Data Engineer (Python) - Remote USA

ICF · Reston, VA · 1 wk ago
RemoteRemoteInformation Technology$81k–$168k/yrFull-time

About the role

ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference, and we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference. Our Health Engineering Systems (HES) team works side by side with customers to define a vision for success and deliver practical, secure solutions. We are seeking a Data Engineer to develop and support reliable data pipelines, database solutions, and reporting integrations across PostgreSQL, SQL, Databricks, and the DataConnect reporting environment using AWS QuickSight. The ideal candidate can translate requirements into maintainable code and contribute independently while partnering with senior engineers, data scientists, analysts, and DevOps team members.

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive.

Responsibilities

  • Design, develop, test, and maintain data pipelines and transformation workflows using SQL, Python, Databricks, and cloud technologies.
  • Develop and optimize PostgreSQL database objects, queries, data models, and data-access patterns.
  • Build and maintain integrations that support DataConnect reporting through AWS QuickSight and Databricks.
  • Develop API services and reusable components that facilitate secure data access and system integration.
  • Support extraction, transformation, and loading of data from multiple sources while meeting functional and non-functional requirements.
  • Create and maintain data-quality checks, validation jobs, monitoring, and operational alerts.

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