Big Data Engineer: Onsite 3 Days/Wk with AWS & Spark

Unisys

Rockville (MD)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Unisys is seeking a highly skilled Big Data Engineer to design, develop, and optimize large-scale data processing systems. You will architect data pipelines and ensure performance, scalability, and reliability of our big data platforms.

The ideal candidate has hands-on experience with Hadoop, Spark, Hive, Trino, and cloud platforms, and collaborates with data scientists to enable data-driven decisions. Hybrid onsite in Tysons, VA or Rockville, MD is required.

Qualifications

Bachelor's degree in Computer Science or related field with 5+ years of relevant experience.

Responsibilities

Design, develop, and maintain large-scale data processing pipelines using Big Data technologies (e.g., Hadoop, Spark, Python, Scala).
Implement data ingestion, storage, transformation, and analysis of solutions that are scalable, efficient, and reliable.
Stay current with industry trends and emerging Big Data technologies to continuously improve the data architecture
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Optimize and enhance existing data pipelines for performance, scalability, and reliability.
Develop automated testing frameworks and implement continuous testing for data quality assurance.
Conduct unit, integration, and system testing to ensure the robustness and accuracy of data pipelines.
Work with data scientists and analysts to support data-driven decision-making across the organization.
Ability to write and maintain automated unit, integration, and end-to-end tests
Monitor and troubleshoot data pipelines in production environments to identify and resolve issues.