Data Engineer

MANTECH • Chantilly, VA

8d • $114,600 - $190,200 • Onsite

About The Position

MANTECH seeks a motivated, career- and customer-oriented Data Engineer to join its team in Chantilly, Virginia. The role supports the design, ingestion, cleansing, transformation, loading, and display of significant amounts of data in a Big Data environment. The Data Engineer develops and optimizes data systems and custom solutions, maintains Data Layer documentation, and collaborates with data scientists and other stakeholders to build efficient data pipelines, including pipelines for AI/ML workflows. An active TS/SCI with Polygraph clearance is required.

Requirements

• High school diploma and at least 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 ingestion 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 such as Apache Airflow, and performing ETL tasks in a Linux environment.
• Active TS/SCI with Polygraph clearance.

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

• Design, implement, and optimize data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingestion systems in a Big Data environment.
• Optimize all stages of the data lifecycle, from initial planning and ingestion through final display and beyond.
• Develop custom solutions or code to ingest and exploit new and existing data sources.
• Develop data profiling, deduplication, and matching logic for analysis.
• Organize and maintain Data Layer documentation while working with data scientists to craft pipelines for AI/ML workflows.
• Collaborate with teammates, service providers, vendors, and users to develop more efficient methods.
• Articulate 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
• Other optional benefit elections, depending upon position

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED