Data Engineer

Mantech International-posted 3 months ago
Full-time
Chantilly, VA
5,001-10,000 employees
Professional, Scientific, and Technical Services
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Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968, we've been solving the toughest challenges with groundbreaking tech. Explore thrilling projects in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a difference. Your adventure begins now-unleash your potential with MANTECH! MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA. The Data Engineer will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data.

  • Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment
  • Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond
  • Developing custom solutions/code to ingest and exploit new and existing data sources
  • Developing data profiling, deduping logic, and matching logic for analysis
  • Organizing and maintaining Data Layer documentation, so others are able to understand and use it
  • Working closely with data scientists to craft data pipelines which serve the development of modern AI/ML workflows
  • Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods
  • Effectively articulating the risks and constraints associated with software solutions, based on environment
  • High School Diploma with 4+ years of relevant data engineering, software development, and/or programming experience
  • Demonstrated data analysis, parsing, and programming language experience (e.g. Python, Java) coupled with significant SQL/database experience
  • Experience with the full data lifecycle, from ingest through display, in a Big Data environment
  • Hands-on experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs
  • Experience with data pipelining systems (e.g. Apache Airflow) and developing/performing ETL tasks in a Linux environment
  • Experience deploying systems that leverage AI/ML technology
  • Experience publishing results in BI dashboards
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