Data & Software Engineer

Vosper Thornycroft Group; McLean (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading engineering firm is looking for a Data & Software Engineer to develop complex data flows for custom applications. The ideal candidate will have advanced Python skills and experience with data security principles. Responsibilities include building data pipelines, using orchestration tools, and working with cloud environments like AWS. A Bachelor's degree in a technical field and a minimum of 5 years experience with technologies such as Apache Spark, Docker, and SQL are required. Active TS/SCI clearance is essential.

Qualifications

• Minimum of 5 years' experience with data pipelines and ETL workflows.
• Active TS/SCI clearance required.
• Proven history of building production data pipelines.

Responsibilities

• Build and deploy data pipelines using Python.
• Containerize applications in AWS environments.
• Work with MySQL and PostgreSQL for performance tuning.

Skills

Advanced Python programming skills

Experience with Apache Spark & PySpark

Familiarity with Java

Docker and Podman experience

Knowledge of SQL (with Trino)

Understanding of data security principles

Experience with AWS services (S3, Lambda)

Strong problem-solving skills

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Terraform

Apache Airflow

PostGIS

DynamoDB

Job description

Overview

We are seeking a Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. Candidate must have experience:

What will you do?

• Building end-to-end data pipelines leveraging Python
• Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
• Containerizing and deploying applications in cloud environments like AWS.
• Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads.
• Leveraging industry standard tools for code control (Git, IaC control, etc.)
• Working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial.
• Using Bash scripting for automation and data processing tasks
• Integrating AI/ML services and models
• Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
• Leverages strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
• Leverage a background in large‑scale data migration or platform modernization efforts
• Contribute to data engineering documentation, best practices, and design patterns.

Do you have what it takes?

• Active TS/SCI W/ Polygraph required.
• Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience.
• Minimum of 5 years' experience with:
  • ApacheSpark & PySpark
  • Advanced Python skills (including Pandas & NumPy)
  • Docker, Podman
  • AWS S3, Lambda & Step functions
  • Apache Iceberg, Airflow, etc.
  • SQL (with Trino)
  • NoSQL, DynamoDB
  • UnityCatalog OSS, Apache Polaris
  • Apache Superset
  • Terraform or CloudFormation
  • OpenLineage
  • H3, PostGIS