Design, develop, and optimize scalable ETL/ELT pipelines across IRS data platforms
Build and maintain data models, data lakes, and data warehouses
Lead efforts to modernize legacy data stores into cloud-native architectures
Required Qualifications
10+ years of relevant hands-on experience in data engineering solutions
Prior experience supporting data engineering in enterprise environments for the IRS
Demonstrated hands-on coding experience
Bachelor's degree in Science, Math, Engineering, or Information Systems
Databricks and/or Palantir certification
Average salary estimate
$135000
/ YEARLY (est.)
min
max
$120000K
$150000K
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