Big Data Developer

Unisys; Rockville (MD); On-site; USD 150,000 - 190,000; Full time

Job summary

Unisys is seeking a seasoned Big Data Engineer to design and optimize large-scale data processing systems in a cloud-first environment. You will architect data pipelines, integrate data sources, and ensure high performance and reliability of Big Data platforms.

The role emphasizes distributed systems, Hadoop/Spark ecosystems, and cloud-native microservices. You will collaborate across teams to deliver scalable solutions, apply AI tools to improve development, and advance our data-driven

Qualifications

• 8+ years of professional software engineering experience with leadership.
• 3+ years hands-on development in Data Engineering with Python/Scala/Java, SQL.
• 3+ years working with Big Data technologies such as Hadoop, Spark, or Presto.
• 2+ years developing REST/web services and writing complex SQL queries.
• Proficiency with AWS services including EMR, Glue, Athena, ECS, Lambda, and S3.
• Bachelor's degree in CS/IT/Engineering.

Responsibilities

• 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 environment using distributed microservices and big-data technologies (Hive, Presto, Spark, Hadoop, Trino).
• Partner with cross-functional teams to understand requirements and testing scenarios to deliver scalable solutions meeting business objectives.
• Build and maintain high-performance API platforms on AWS infrastructure for interactive data access following Well-Architected Framework.
• Leverage AI tools to enhance development efficiency, code quality, and innovation throughout the SDLC.
• Stay current with AI/ML trends, evaluate new tools, and contribute to tech communities.
• Demonstrate growth mindset, ownership of deliverables, and customer-centric decision making.

Skills

Python

Scala

Big data

AWS

SQL

Kubernetes

GenAI

LLMs

Education

Bachelor’s degree in CS/IT/Engineering

Tools

Hadoop

Spark

Presto

Hive

Trino

Jenkins

CloudFormation

ECS

Lambda

S3

Job 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.

Responsibilities:

• 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
• 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.

Qualifications:

• 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.