Data Engineer & Analyst
Washington, DC (Hybrid - Locals only)
Must have linkedin and 9+ years of exp.
We're hiring a Data Engineer and Analyst who's equally at home writing production-grade Python and Spark as they are standing in front of a client explaining why a trend in the data should change how they operate. You won't just execute tickets you'll be trusted to dig into a client's data, spot the opportunity they hadn't thought to ask for, and make the case for it.
Required Skills:
Design and build custom data pipelines and ETL/ELT processes in Python and Apache Spark
Write clean, well-documented, production-grade code across diverse source systems
Dig into large, complex datasets to surface trends, anomalies, and insights tied to the client's mission
Build dashboards and visualizations that make findings land with technical and non-technical audiences alike
Turn analysis into plain-language narratives not just what the data shows, but why it matters and what to do next
Partner directly with federal stakeholders to understand their processes, systems, and pain points
Proactively pitch creative, high-value uses of data beyond the immediate ask
Troubleshoot data quality issues, pipeline failures, and performance bottlenecks
Document designs and decisions clearly for engineers and non-engineers alike
Collaborate with a multidisciplinary, agile delivery team
What You Bring
3+ years hands-on with Python for data engineering, scripting, or analysis
3+ years hands-on with Apache Spark (PySpark or Spark SQL) at scale
Strong SQL and experience across relational and/or distributed data systems
Data modeling chops dimensional/star schema, normalization, ER design
Comfort across a mix of database technologies (e.g., PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra, DynamoDB)
A track record of building visualizations that make data's implications clear to a non-technical audience
Strong written and verbal communication in English you can hold your own in a room with a client stakeholder
Bachelor's degree in CS, Data Science, Information Systems, Engineering, or a related field or equivalent practical experience
Genuine curiosity and the ability to get up to speed fast in a new business domain
Comfort owning ambiguous problems and driving them to delivery
Based in, or willing to relocate to, the Washington, DC metro area, with availability for on-site work
Comfortable operating within the compliance and process rigor of federal engagements.
Nice to Have:-
Hands-on Databricks experience in Azure, AWS, or Google Cloud Platform
Cloud-native data services (Azure Data Factory, AWS Glue, S3/ADLS, Delta Lake)
BI/visualization tools like Power BI or Tableau
Prior federal-client or consulting experience
Familiarity with federal data governance/compliance (FISMA, FedRAMP)
An active Public Trust determination or federal clearance a plus, not a requirement
Thanks,
KK
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