Data Engineer and Analyst

Luminus Analytics; Washington, Baltimore (District of Columbia, MD); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401(k)

Contract-to-hire conversion

Job summary

Luminus Analytics is seeking a Data Engineer and Analyst to sit with federal stakeholders, design pipelines, and translate data into actionable insights for mission-driven outcomes.

The role blends production-grade Python and Apache Spark work with the ability to explain trends to both technical and non-technical audiences. It offers a hybrid schedule in the DC metro area and potential contract-to-hire conversion with benefits.

Qualifications

• 3+ years Python for data engineering, scripting, or analysis.
• 3+ years 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 (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.
• 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.

Responsibilities

• 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
• Collaborate with a multidisciplinary, agile delivery team

Skills

Python

Apache Spark

SQL

Data modeling

Databases

Data visualization

English

Education

Bachelor's degree (CS/Data Science/IS/Engineering) or equivalent

Equivalent practical experience

Tools

Databricks

Power BI

Tableau

Job description

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 yourselfEligibility:U.S. Citizenship or Permanent Residence with 3 years required (client requirement; will involve additional suitability/clearance processing)

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 aData Engineer and Analystwho'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 haven't thought to ask for, and make the case for it.

This is acontract-to-hireposition on ahybrid 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 inPythonandApache 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 justwhat the data shows, butwhy it mattersandwhat 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 Pythonfor 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, theWashington, DC metro area, with availability for on-site work
• Comfortable operating within the compliance and process rigor of federal engagements

Nice to Have

• Hands-onDatabricksexperience in Azure, AWS, or GCP
• 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 knowwhy the data looks the way it does, not justwhat 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.

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. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.