Data Engineer & Analyst — Federal Analytics Consulting Location: Washington, DC Metro Area — Hybrid (3 days remote / 2 days on-site) Employment Type: Contract / 1099 / Contract-to-Hire, converting to full-time as you prove yourself Eligibility: U.Citizenship or Permanent Residence with 3 years required (client requirement; Most data roles keep you three steps removed from the people who actually use your work. You'll sit with federal stakeholders, understand the mission they're driving toward, and build the pipelines and insights that move it forward — work with a direct, visible line to outcomes that matter to real citizens.
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.
This is a contract-to-hire position on a hybrid schedule (3 days remote, 2 days on-site in the DC metro area), with conversion to full-time — health insurance, 401(k), and all — once you've shown you're a fit. Can consider contract on a 1099 basis as well depending on the fit.
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
Turn analysis into plain-language narratives — not just what the data shows, but why it matters and what to do next
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
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
~ S. citizenship or Permanent Residence required
~ Based in, or willing to relocate to, the Washington, DC metro area , with availability for on-site work
~ Hands-on Databricks experience in Azure, AWS, or GCP
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)
Someone who wants to know why the data looks the way it does, not just what it says. Full benefits — including health insurance and a 401(k) — upon conversion to full-time.
Luminus Analytics is a consulting services firm partnering with federal government agencies to modernize how they collect, manage, and derive insight from their data to achieve high value business outcomes . We combine deep technical expertise in AI, Analytics and Data Engineering with a deep understanding of the client's domain, helping our clients turn raw data into decisions that matter.
We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
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.
This is a contract-to-hire position on a hybrid schedule (3 days remote, 2 days on-site in the DC metro area), with conversion to full-time — health insurance, 401(k), and all — once you've shown you're a fit. Can consider contract on a 1099 basis as well depending on the fit.
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
Turn analysis into plain-language narratives — not just what the data shows, but why it matters and what to do next
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
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
~ S. citizenship or Permanent Residence required
~ Based in, or willing to relocate to, the Washington, DC metro area , with availability for on-site work
~ Hands-on Databricks experience in Azure, AWS, or GCP
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)
Someone who wants to know why the data looks the way it does, not just what it says. Full benefits — including health insurance and a 401(k) — upon conversion to full-time.
Luminus Analytics is a consulting services firm partnering with federal government agencies to modernize how they collect, manage, and derive insight from their data to achieve high value business outcomes . We combine deep technical expertise in AI, Analytics and Data Engineering with a deep understanding of the client's domain, helping our clients turn raw data into decisions that matter.
We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Data Engineer and Analyst (Washington DC-Baltimore Area) in baltimore at Unknown Company
This position is listed as contract and able to be worked remotely.