Data Engineer

VTG Defense; McLean (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

VTG Defense is looking for a skilled Data Engineer in McLean, Virginia. The ideal candidate will have at least 5 years of experience with designing and maintaining scalable data solutions, strong SQL proficiency, and expertise in ETL processes. Responsibilities include collaborating with data professionals, implementing data governance, and optimizing data storage. Applicants must have an active TS/SCI with Polygraph and a bachelor's degree in a relevant field.

Qualifications

• 5+ years of experience in data engineering or a related field.
• Active TS/SCI with Polygraph required.
• Strong understanding of data modeling concepts.

Responsibilities

• Design, develop, and maintain scalable data pipelines and workflows.
• Build and optimize data architectures including data lakes and data warehouses.
• Collaborate with stakeholders to define data requirements.

Skills

SQL proficiency

ETL/ELT pipeline building

Cloud data platforms (AWS, Azure, GCP)

Big data processing (Spark, Hadoop)

Programming (Python, Scala, Java)

Education

Bachelor's degree in computer science or related field

Tools

Apache Airflow

Informatica

PostgreSQL

MySQL

SQL Server

Snowflake

Redshift

BigQuery

Job description

Overview

We are seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making.

What will you do?

• Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT)
• Build and optimize data architectures, including data lakes, data warehouses, and data marts
• Ingest, process, and transform large volumes of structured and unstructured data
• Ensure data quality, integrity, and reliability across systems
• Collaborate with data analysts, data scientists, and business stakeholders to define data requirements
• Implement data governance, security, and compliance best practices
• Optimize data storage, query performance, and cost efficiency in cloud environments
• Monitor and troubleshoot data pipeline performance and failures
• Maintain documentation for data flows, systems, and processes

Do you have what it takes?

• Active TS/SCI with Polygraph required.
• Bachelor's degree in computer science, Software Engineering, or related field.
• 5+ years of experience in data engineering or a related field.
• Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Experience with big data processing frameworks (e.g., Spark, Hadoop).
• Hands‑on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar.
• Experience with cloud data platforms (AWS, Azure, or GCP).
• Proficiency in programming languages such as Python, Scala, or Java.
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Strong understanding of data modeling concepts (star/snowflake schemas).