Big Data Engineer: Spark, AWS & AI-Driven Pipelines (Hybrid)

Unisys; Rockville (MD); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Unisys in Rockville, MD is seeking an experienced Big Data Engineer to join the Market Regulation team, focusing on large-scale data architectures and high data volume challenges.

The role requires hands-on Spark, SQL, Python, and AWS (EC2/EMR/S3) experience, plus AI-assisted workflows for automated validations. Hybrid with three days onsite at Rockville or Tysons, VA.

Collaborate with cross-functional teams to deliver scalable data solutions and optimize performance.

Qualifications

• 3–5 years of hands-on big data engineering experience in high-volume environments.
• Proficient with Spark and advanced SQL techniques.
• Python programming for data processing and automation; experience with AWS batch processing.
• Experience with AI-assisted workflows and automated validations.

Responsibilities

• Design, develop, and maintain big data pipelines and architectures for market regulation.
• Process large-scale data with Spark, optimizing for performance and reliability.
• Develop and tune complex SQL queries, including window functions.
• Build batch processing workflows on AWS (EC2, EMR, S3).
• Integrate AI-assisted workflows and automated validations to improve accuracy.
• Collaborate with cross-functional teams to deliver scalable data solutions.

Skills

Spark

Advanced SQL

Python

AWS

AI-assisted workflows

Tools

AWS EMR

AWS EC2

AWS S3

Job description

Unisys in Rockville, MD is seeking an experienced Big Data Engineer to join the Market Regulation team, focusing on large-scale data architectures and high data volume challenges.

The role requires hands-on Spark, SQL, Python, and AWS (EC2/EMR/S3) experience, plus AI-assisted workflows for automated validations. Hybrid with three days onsite at Rockville or Tysons, VA.

Collaborate with cross-functional teams to deliver scalable data solutions and optimize performance.