Jobs · Information Technology · Virginia

Data Engineer

AVIAN · Virginia, United States · 3 days ago
Information TechnologyFull-time

About the company

Level Up, LLC, a wholly-owned subsidiary of AVIAN, represents a fusion of innovation, reliability, and top-tier cyber security and IT solutions. As a Virginia-based small business with over 150 years of collective experience, we pride ourselves on providing industry-leading expertise, big data analytics, and all-source research and analysis. Our technical capabilities directly bolster our customers' objectives, from mission centers to forward-deployed operations. In 2021, we joined forces with AVIAN, an employee-owned business and one of America’s fastest-growing private companies. With a shared commitment to resourcefulness, responsiveness, and reachability, we continue to uphold our trademark dependability and innovation, delivering exceptional services to our 80 government and commercial clients across 13 states.

Beyond our technical and consulting prowess, we at Level Up believe in creating a positive impact within our communities. Through our charitable giving and volunteer programs, we support causes close to our hearts and inspire meaningful change. This commitment to service and community enhancement is what we call "The Level Up Way". Together, Level Up and AVIAN offer comprehensive solutions, blending technology and community engagement to create an exceptional partnership for our employees, customers, and community.

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/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. Also, work 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

Requirements

  • High School Diploma/GED with 2+ years of relevant software development/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

Preferred Qualifications

  • Experience deploying systems that leverage AI/ML technology
  • Experience publishing results in BI dashboards

Clearance

Due to the sensitivity of customer-related requirements, U.S. Citizenship is required. TS/SCI with Full Scope Polygraph required.

Benefits

  • Health and wellness: medical, dental, and vision coverage, telemedicine services, TRICARE supplement for veterans
  • Financial security: flexible spending accounts (FSA), 401(k) plan with company contributions, employee stock ownership plan (ESOP)
  • Additional perks: wellness reimbursements, referral bonuses
  • Insurance protection: basic life insurance, accidental death and dismemberment (AD&D) coverage, disability benefits, AFLAC supplemental insurance
  • Work-life balance: flexible time off, paid sick leave, maternity and bonding leave, military training leave
  • Professional growth: tuition reimbursement, professional development opportunities
  • Other benefits: pet insurance, identity protection, life assistance programs

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