Senior Big Data Engineer — AWS, Spark & AI Pipelines

Unisys; McLean (VA); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

Scala

Spark

Big Data

AWS

SQL

Kubernetes

GenAI

LLMs

Formation

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

Outils

Hadoop

Presto

EMR

Glue

Athena

ECS

Lambda

S3

Kubernetes

Description du poste

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.