Senior Data Engineer with Security Clearance

About the role

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.

Responsibilities

• Develop, optimize, and maintain robust ETL processes and data pipelines to transform financial data into actionable insights for a mission-driven customer.
• Leverage expertise in Python and SQL to condition and normalize both raw and structured data, enhancing its usability and searchability within downstream enterprise tools.
• Implement cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks.
• Build new and repeatable workflows using Apache Airflow and Apache Hop to support team objectives.
• 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).
• Apply experience with Kubernetes, financial data, and language translation models where applicable (desired).

Qualifications

• Active TS/SCI with Polygraph clearance required.
• Bachelor's degree in Computer Science, Software Engineering, or related field.

Skills

Required:

• Python
• Structured Query Language (SQL)
• Apache Airflow
• Apache Hop
• 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)

Desired:

• Experience