Senior Big Data Engineer — AWS, Spark & AI Pipelines
unisysMcLean (VA)
Senior Big Data Engineer — AWS, Spark & AI Pipelines
Posted yesterday
unisysMcLean (VA)
SENIORITY
Senior
About the role
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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.