Years of Experience 2+ Years
• 10+ years building data-intensive systems; able to own
architecture end-to-end and lead a team of data engineers.
Hands-on experience with entity resolution / record linkage,
probabilistic matching, and data-pipelinedesign at scale
(millions of records).
• Strong Python and comfortable in Golang; experienced with
columnar data formats (Parquet), SQL, and
performance/memory-bound workloads.
• Able to interface directly with government stakeholders and
translate ambiguous, messy source data into engineering
decisions.