Data Engineer
Core
Build clean, validated, reusable datasets and support the Enterprise Data Warehouse to make KPIs and metrics accessible.
Role type
Data Engineer
Builds
Enterprise Data Warehouse, KPIs, metrics, and reporting
Domain
Defense / Business Intelligence
Required skills
SQL, Python, ETL/ELT methodologies, data modeling, CI/CD, unit testing, data profiling, data cleansing, normalization, hashing, PII risk policies
Preferred skills
AWS (S3, EMR), dbt, Agile SDLC, analytical modeling techniques
Technologies
AWS, S3, EMR, dbt, CI/CD, Cloud Data Warehouse
Responsibilities
Build clean, validated, reusable datasets from systems and infrastructure; establish standards for data transformations; maintain and improve data profiling methods; uphold engineering best practices for CI/CD, unit testing, and optimization; work with Data Architecture team to preserve data model quality; handle data requests, housekeeping, cleansing, normalization, and model updates; analyze data to identify anomalies and trends; troubleshoot and implement resolutions.
Seniority
Mid-level (2-5 years experience)
