About this opportunity
Luminus Analytics lists this Data Engineer and Analyst opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.S. Citizenship or Permanent Residence with 3 years required (client requirement; will involve additional suitability/clearance processing)
To be considered for an interview, please make sure your application is full in line with the job specs as found below.
Why This Role
Most data roles keep you three steps removed from the people who actually use your work. This one doesn't. 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.
What You'll Do
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
7+ years overall professional programming experience
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
U.S. citizenship or Permanent Residence required
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 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)
An active Public Trust determination or federal clearance — a plus, not a requirement
Who We're Looking For
Someone who wants to know why the data looks the way it does, not just what it says. Someone who'd rather propose a better approach than quietly execute the one they were handed. Someone who can move from a terminal to a client meeting without missing a beat — and who takes real pride in work that's both technically sound and genuinely useful to the people who depend on it.
Compensation & Benefits
Market-competitive pay. Full benefits — including health insurance and a 401(k) — upon conversion to full-time.
About Us
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.
Luminus Analytics is an equal opportunity employer. xavwley We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Worksite address
washington, DC, 20011, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.