Big Data Engineer

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

Job Title: Big Data Engineer (Hybrid - Rockville, MD or Tysons, VA | 3 days onsite)

About the Role:

We are seeking an experienced Big Data Engineer to join our Market Regulation team, working on high-end engineering challenges. This role requires hands-on expertise with large-scale big data architectures and the ability to design and optimize solutions in a high data volume environment.

Key Responsibilities:

• Design, develop, and maintain big data pipelines and architectures supporting market regulation initiatives.
• Work with large-scale data processing using Spark, optimizing for performance and reliability.
• Develop and optimize complex SQL queries, including window functions and query tuning.
• Build and maintain batch processing workflows on AWS using EC2, EMR, and S3.
• Integrate AI-assisted workflows and automated validation processes to enhance data processing and accuracy.
• Collaborate with cross-functional teams to deliver scalable, efficient data solutions.

Must-Have Qualifications:

• 3-5 years of hands-on experience in big data engineering, especially in environments with high data volume.
• Strong proficiency with Spark and advanced SQL techniques.
• Skilled in Python programming for data processing and automation.
• Experience with AWS services: EC2, EMR, and S3 for batch processing.
• Minimum experience with AI-assisted workflows and automated validations.

Nice to Have:

• Exposure to the financial industry or market regulation domain.

Location: Rockville, MD or Tysons, VA (Hybrid, 3 days onsite)