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Data Engineer

Steampunk
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Jul 29, 2026
  • Ability to hold a position of public trust with the US government.
  • Bachelor's degree.
  • 2-4 years industry experience coding commercial software and a passion for solving complex problems.
  • 2-4 years direct experience in Data Engineering with experience in tools such as:
    • Big data tools: Hadoop, Spark, Kafka, etc.
    • Relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
    • AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
    • Data streaming systems: Storm, Spark-Streaming, etc.
    • Search tools: Solr, Lucene, Elasticsearch
    • Object-oriented/object function scripting languages: Python, Java, C , Scala, etc.
  • Experience with Databricks. 
  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
  • Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.
  • Experience manipulating structured and unstructured data for analysis.
  • Experience constructing complex queries to analyze results using databases or in a data processing development environment.
  • Experience with data modeling tools and process.
  • Experience architecting data systems (transactional and warehouses).
  • Experience aggregating results and/or compiling information for reporting from multiple datasets.
  • Experience working in an Agile environment.
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.

Job ID

7942|98062f83-66ff-46d1-9bb5-97e77dc1084a

Security Clearance

Public Trust
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