Data & Software Engineer: Cloud ETL & AI-Ready Pipelines

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

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.