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# Big Data Developer

- **Company:** Unisys
- **Location:** Rockville, MD, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Software Quality, Databases, System Configuration, Information Engineering, Data Integration, Relational Databases, DevOps, Distributed Systems, Apache Hadoop, Apache Hive, Python (Programming Language), Object-Oriented Software Development, Standard Sql, Scala (Programming Language), Software Engineering, SQL Databases, Web Services, Scripting, Large Language Models, Apache Spark, Cloudformation, Kubernetes, Information Technology, Presto, Data Pipelines, Jenkins, Microservices
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75897617-big-data-developer

## About the Role

* 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), Glue, Athena, ECS, Lambda, and S3.
 * Proficiency with DevOps practices and CI/CD pipelines using tools like Jenkins, Cloud Formation, etc.
 * Working knowledge of scripting languages.
 * Bachelor's degree in computer science, information technology, engineering, or related technical field.

## Description

* We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams to architect data pipelines, implement data integration solutions, and ensure the performance, scalability, and reliability of Big Data platforms.
 * The ideal candidate will have deep expertise in distributed systems, cloud platforms, and modern Big Data technologies such as Hadoop, Spark etc.
 * Demonstrated technical expertise in Object Oriented and database technologies/concepts which resulted in deployment of enterprise quality solutions., * Design, develop, and maintain large-scale data processing pipelines using Big Data technologies (e.g., Hadoop, Spark, Python, Scala).
 * Design, develop, test, implement, and support technical solutions within an Agile development environment, utilizing distributed microservices architecture, big-data technologies (HIVE, Presto, Spark, Hadoop, Trino), 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:

 * Python and/or Scala
 * Big data (we work with terabytes per day)
 * AWS
 * SQL
 * Orchestration, deployment understanding
 * Kubernetes (troubleshooting, configuring for scale), can be AWS, GCP, or Azure Kubernetes. Should have maintained existing Kubernetes infrastructure
 * GenAI for use in engineering (ex: Kiro), LLMs, etc.