Data & Software Engineer: Build Scalable Data Pipelines

VTG; McLean (VA); On-site; USD 120,000 - 190,000; Full time

Job summary

VTG seeks a Data & Software Engineer to build complex data flows for a custom application. You will advance production data pipelines using Python and Spark, work with AWS services, and ensure data governance and security across platforms.

You will partner with a small team, design scalable ETL processes, and contribute to documentation while addressing data quality and performance issues.

Qualifications

• 5+ years building production data pipelines with Spark/PySpark.
• Experience with SQL, NoSQL databases and data warehousing.
• Experience with AWS services (S3, Lambda, Step Functions).
• Familiarity with data governance, security and privacy.
• Active TS/SCI W/ Polygraph clearance required.

Responsibilities

• Build end-to-end data pipelines leveraging Python and Spark.
• Configure and deploy Spark jobs and orchestration workflows.
• Containerize and deploy applications in AWS cloud environments.
• Design schema and optimize queries for analytical workloads.
• Collaborate with stakeholders to define data requirements and solutions.
• Maintain data lineage, catalogs, and data quality across pipelines.
• Contribute to engineering docs and best practices.

Skills

Python

PySpark

SQL

Pandas

NumPy

Bash

Education

Bachelor's degree in Computer Science, Engineering, Finance, or related technical field

Tools

Docker

Podman

AWS

Spark

Airflow

Terraform

CloudFormation

Git

OpenLineage

Geospatial (PostGIS)

Unity Catalog OSS

Apache Iceberg

Apache Superset

Trino

Job description

VTG seeks a Data & Software Engineer to build complex data flows for a custom application. You will advance production data pipelines using Python and Spark, work with AWS services, and ensure data governance and security across platforms.

You will partner with a small team, design scalable ETL processes, and contribute to documentation while addressing data quality and performance issues.