Senior Data Engineer

Unisys; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Unisys is expanding its data engineering team in the McLean area, seeking an experienced Big Data Engineer to design and optimize large-scale data processing systems. You will architect data pipelines, implement data integration, and ensure performance, scalability, and reliability of Big Data platforms.

The role emphasizes Hadoop, Spark, and cloud-native solutions on AWS, with emphasis on resolving complex data challenges.

Qualifications

• 8+ years of professional software engineering experience.
• 3+ years of hands-on development in Data Engineering, Python/Scala/Java, and SQL.
• 3+ years with Big Data technologies such as Hadoop, Spark, or Presto.
• 2+ years developing REST/web services and writing complex SQL for relational DBs.
• Experience with AWS services including EMR (Hive/Presto), Glue, Athena, ECS, Lambda, and S3.
• Proficiency with DevOps practices and CI/CD pipelines (e.g., Jenkins, CloudFormation).
• Bachelor’s degree in CS/IT/Eng or related field.

Responsibilities

• Design, develop, and maintain large-scale data processing pipelines using Hadoop, Spark, Python, and Scala.
• Contribute to Agile development with distributed microservices and big-data tech (Hive, Presto, Spark, Hadoop, Trino).
• Build and support high-performance API platforms on AWS, following Well-Architected Framework.
• Collaborate with cross-functional teams to understand requirements and testing scenarios to deliver scalable solutions.
• Utilize AI tools to improve development efficiency and code quality throughout the SDLC.
• Keep current with AI/ML trends and evaluate new tools and frameworks.
• Show ownership of deliverables and maintain a customer-centric focus.

Skills

Python

Scala

Spark

Big Data

AWS

SQL

Kubernetes

GenAI

LLMs

Education

Bachelor’s degree in computer science, information technology, engineering, or related technical field

Tools

Hadoop

Presto

EMR

Glue

Athena

ECS

Lambda

S3

Kubernetes

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
• Spark, 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
• Knowledge on 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, and 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.
• 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.