Big Data Developer

Unisys; Tysons (VA); On-site; USD 140,000 - 200,000; Full time

Job summary

Unisys is seeking a Senior Backend Engineer to design, develop, and support scalable backend systems for a high-volume financial market platform on AWS. You will work in a greenfield architecture, leveraging distributed microservices, big data technologies, and AI-assisted tooling to drive innovation and performance.

You will collaborate with cross-functional teams to define requirements, implement robust APIs, and ensure production readiness with strong DevOps practices.

Qualifications

• Bachelor’s degree in computer science, information technology, engineering, or related technical field.
• 8+ years of professional software engineering experience with leadership capabilities.
• 3+ years of hands-on development experience in Data Engineering, Python / Scala / Java, SQL.
• 3+ years working with Big Data technologies such as Hadoop, Spark, or Presto, etc.
• 2+ years developing REST/web services and writing complex SQL queries for relational databases.
• Proven experience with AWS services including EMR (Hive/Presto), ECS, Lambda, and S3.
• Proficiency with DevOps practices and CI/CD pipelines using tools like Jenkins, Cloud Formation, etc.
• Working knowledge of scripting languages.

Responsibilities

• Design, develop, test, implement, and support technical solutions within an Agile environment using distributed microservices and big-data tech.
• Partner with cross-functional teams to understand requirements and testing scenarios, delivering scalable solutions.
• Build and maintain high-performance API platforms on AWS infrastructure with fast access to big data.
• Leverage AI tools to enhance development efficiency, code quality, and innovation throughout the lifecycle.
• Drive technical innovation by staying current with emerging trends, evaluating new tools and frameworks.
• Demonstrate a growth mindset, take ownership of deliverables, maintain customer-centric focus, and exercise sound technical judgment.

Skills

Big Data

Spark

AWS

Production support

Backend engineering

Performance optimization

REST APIs

SQL

Python/Scala/Java

DevOps

Education

Bachelor's degree in CS/IT/Engineering

Tools

Hadoop

Spark

Presto

Hive

AWS EMR

AWS ECS

S3

Job description

• You'll build backend systems for a platform that helps financial analysts monitor U.S. market integrity. The role involves creating user-friendly tools powered by one of the largest financial regulatory datasets in the cloud, processing billions of daily market events. This is a greenfield architecture opportunity with strong work-life balance. As a Senior Backend Engineer, you'll lead through excellent code, solve complex problems, set high standards, and drive innovation. The role requires technical excellence with effective communication, stakeholder influence, and genuine passion for the mission.

Responsibilities:

• Design, develop, test, implement, and support technical solutions within an Agile development environment, utilizing distributed microservices architecture, big-data technologies (HIVE, Presto, Spark, Hadoop), and full-stack systems.
• Partner with cross-functional teams to understand application requirements and testing scenarios, delivering scalable technical solutions that meet business objectives.
• Build and maintain high-performance API platforms on AWS infrastructure, enabling interactive-speed access to big data while adhering to AWS Well-Architected Framework principles.
• Leverage AI tools and technologies to enhance development efficiency, code quality, and solution innovation throughout the software development lifecycle.
• Drive technical innovation by staying current with emerging technology trends, including AI/ML advancements, evaluating new tools and frameworks, and actively contributing to internal and external technology communities.
• Demonstrate a growth mindset, take ownership of deliverables, maintain customer-centric focus, and exercise sound technical judgment in decision-making.

Must have skills:

• 3 years Big Data / Spark
• AWS
• Ability to do production support, think through how to optimize performance.
• Backend Engineer, Big Data + can think through/solve prod issues and how to optimize performance.

Qualifications:

• Bachelor’s degree in computer science, information technology, engineering, or related technical field.
• 8+ years of professional software engineering experience with demonstrated leadership capabilities.
• 3+ years of hands-on development experience in Data Engineering, Python / Scala / Java, SQL.
• 3+ years working with Big Data technologies such as Hadoop, Spark, or Presto, etc.
• 2+ years developing REST/web services and writing complex SQL queries for relational databases.
• Proven experience with AWS services including EMR (Hive/Presto), ECS, Lambda, and S3.
• Proficiency with DevOps practices and CI/CD pipelines using tools like Jenkins, Cloud Formation, etc.
• Working knowledge of scripting languages.