VTG-posted 4 months ago
Senior
Chantilly, VA

VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems. In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly impact the efficiency and effectiveness of data processing, setting the stage for advanced data analysis and decision-making. The ideal candidate will bring a proven track record of building and implementing ETL processes, with a keen eye for optimizing data for various enterprise applications. If you have a passion for data engineering and are ready to take on a challenge that marries technical prowess with mission-critical analysis, this is the opportunity for you.

  • Develop, optimize, and maintain robust ETL processes and data pipelines.
  • Leverage expertise in Python and SQL to condition and normalize both raw and structured data.
  • Enhance usability and searchability of data within downstream enterprise tools.
  • Implement cutting-edge technology, including AI models, to improve data fidelity.
  • Build new and repeatable workflows using Apache Airflow and Apache Hop.
  • Work independently and collaboratively with a team of technical experts, data managers, and operational stakeholders.
  • Deploy scalable solutions in a cloud environment using Amazon Web Services (AWS).
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.
  • Proficiency in Python.
  • Proficiency in Structured Query Language (SQL).
  • Experience normalizing raw, unstructured, and structured data.
  • Ability to work independently and collaboratively.
  • Experience building, optimizing, and implementing ETL processes and data pipelines.
  • Experience with Amazon Web Services (AWS).
  • Experience with financial data.
  • Experience with language translation models.
  • Experience using Kubernetes.
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