Data Engineer

MANTECH•Chantilly, VA
•$114,600 - $190,200•Onsite

About The Position

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.

Requirements

  • High School Diploma with 4+ years of relevant data engineering, software development, and/or programming experience.
  • Demonstrated data analysis, parsing, and programming language experience such as Python or Java.
  • Significant experience with SQL and database management.
  • 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.
  • Experience with RESTful APIs, data pipelining systems like Apache Airflow, and performing ETL tasks in a Linux environment.
  • An active TS/SCI with Polygraph is required for this position.

Nice To Haves

  • Experience deploying systems that leverage AI/ML technology.
  • Experience publishing results in BI dashboards.
  • Self-starter with excellent people skills able to work across teams and drive change.

Responsibilities

  • 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 or 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 while working with data scientists to craft pipelines for AI/ML workflows.
  • Collaborating with teammates, service providers, vendors, and users to develop more efficient methods.
  • Effectively articulating the risks and constraints associated with software solutions based on the environment.

Benefits

  • Health Insurance
  • Life Insurance
  • Paid Time Off
  • Holiday Pay
  • short-term and long-term Disability
  • Retirement and Savings
  • Learning and Development opportunities
  • wellness programs
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