Data Architect Data Analytics

6 days ago

Washington, Washington, D.C., United States Bigbear Full time
Data Engineer for Scalable Data Pipelines

ai is seeking a highly skilled Data Engineer to design and develop scalable and reliable data pipelines for our clients. As a key member of our team, you will be responsible for developing and maintaining data pipelines to support end-to-end solutions, integrating data pipelines with AWS cloud services to extract meaningful insights, and providing Tier 3 technical support for deployed applications and dataflows.

Key Responsibilities:
  • Develop and design data pipelines to support end-to-end solutions
  • Integrate data pipelines with AWS cloud services to extract meaningful insights
  • Manage production data within multiple datasets ensuring fault tolerance and redundancy
  • Design and develop robust and functional dataflows to support raw data and expected data
  • Provide Tier 3 technical support for deployed applications and dataflows
Requirements:
  • Proficiency in data engineering, ETL architecture and development, and end-to-end processes
  • Experience in working with AWS cloud services, such as S3, EC2, Lambda, Glue, Athena, etc.
  • Experience in database administration and API development
  • Knowledge of data pipeline tools and frameworks, such as Airflow, Spark, Kafka, etc.
What We Offer:

ai delivers AI-powered analytics and cyber engineering solutions to support mission-critical operations and decision-making in complex, real-world environments. Our customers, which include the US Intelligence Community, Department of Defense, the US Federal Government, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai for their data engineering needs.

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