About
Location:
McLean, VA (Hybrid - 3 days onsite)
Duration:
12 Months
Job Description:
We are looking for a
Senior Big Data / ML Engineer
to support a banking client's AML and Risk Technology team. The role involves building scalable data pipelines, processing large transaction datasets, and supporting fraud detection initiatives.
Key Skills
5+ years in
Data Engineering
Strong
Python / PySpark
and
SQL
Experience with
AWS (Glue)
and
Snowflake / Data Warehousing
Hands-on with
distributed data processing
and end-to-end pipeline development
Strong understanding of
data transformation and data quality checks
Responsibilities
Build and maintain scalable data pipelines
Ingest, transform, and validate large datasets
Optimize SQL queries and data workflows
Support production pipelines and deployments
Collaborate with cross-functional teams
Nice to Have
Banking/AML or fraud domain experience
Delta Lake / OneLake exposure
Languages
- English
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