Data Engineer and Analyst
Luminus Analytics · Washington, District of Columbia, United States
FULL TIME
Job Description
Data Engineer & Analyst — Federal Analytics ConsultingLocation: 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 RoleMost 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 DoDesign and build custom data pipelines and ETL/ELT processes in Python and Apache SparkWrite clean, well-documented, production-grade code across diverse source systemsDig into large, complex datasets to surface trends, anomalies, and insights tied to the client's missionBuild dashboards and visualizations that make findings land with technical and non-technical audiences alikeTurn analysis into plain-language narratives — not just what the data shows, but why it matters and what to do nextPartner directly with federal stakeholders to understand their processes, systems, and pain pointsProactively pitch creative, high-value uses of data beyond the immediate askTroubleshoot data quality issues, pipeline failures, and performance bottlenecksDocument designs and decisions clearly for engineers and non-engineers alikeCollaborate with a multidisciplinary, agile delivery teamWhat You Bring3+ years hands-on with Python for data engineering, scripting, or analysis3+ years hands-on with Apache Spark (PySpark or Spark SQL) at scale7+ years overall professional programming experienceStrong SQL and experience across relational and/or distributed data systemsData modeling chops — dimensional/star schema, normalization, ER designComfort 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 audienceStrong written and verbal communication in English — you can hold your own in a room with a client stakeholderBachelor's degree in CS, Data Science, Information Systems, Engineering, or a related field — or equivalent practical experienceGenuine curiosity and the ability to get up to speed fast in a new business domainComfort owning ambiguous problems and driving them to deliveryU.S. citizenship or Permanent Residence requiredBased in, or willing to relocate to, the Washington, DC metro area, with availability for on-site workComfortable operating within the compliance and process rigor of federal engagementsNice to HaveHands-on Databricks experience in Azure, AWS, or GCPCloud-native data services (Azure Data Factory, AWS Glue, S3/ADLS, Delta Lake)BI/visualization tools like Power BI or TableauPrior federal-client or consulting experienceFamiliarity with federal data governance/compliance (FISMA, FedRAMP)An active Public Trust determination or federal clearance — a plus, not a requirementWho We're Looking ForSomeone 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 & BenefitsMarket-competitive pay. Full benefits — including health insurance and a 401(k) — upon conversion to full-time.
About UsLuminus 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. xzbcwsv We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
To be considered for an interview, please make sure your application is full in line with the job specs as found below.
Why This RoleMost 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 DoDesign and build custom data pipelines and ETL/ELT processes in Python and Apache SparkWrite clean, well-documented, production-grade code across diverse source systemsDig into large, complex datasets to surface trends, anomalies, and insights tied to the client's missionBuild dashboards and visualizations that make findings land with technical and non-technical audiences alikeTurn analysis into plain-language narratives — not just what the data shows, but why it matters and what to do nextPartner directly with federal stakeholders to understand their processes, systems, and pain pointsProactively pitch creative, high-value uses of data beyond the immediate askTroubleshoot data quality issues, pipeline failures, and performance bottlenecksDocument designs and decisions clearly for engineers and non-engineers alikeCollaborate with a multidisciplinary, agile delivery teamWhat You Bring3+ years hands-on with Python for data engineering, scripting, or analysis3+ years hands-on with Apache Spark (PySpark or Spark SQL) at scale7+ years overall professional programming experienceStrong SQL and experience across relational and/or distributed data systemsData modeling chops — dimensional/star schema, normalization, ER designComfort 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 audienceStrong written and verbal communication in English — you can hold your own in a room with a client stakeholderBachelor's degree in CS, Data Science, Information Systems, Engineering, or a related field — or equivalent practical experienceGenuine curiosity and the ability to get up to speed fast in a new business domainComfort owning ambiguous problems and driving them to deliveryU.S. citizenship or Permanent Residence requiredBased in, or willing to relocate to, the Washington, DC metro area, with availability for on-site workComfortable operating within the compliance and process rigor of federal engagementsNice to HaveHands-on Databricks experience in Azure, AWS, or GCPCloud-native data services (Azure Data Factory, AWS Glue, S3/ADLS, Delta Lake)BI/visualization tools like Power BI or TableauPrior federal-client or consulting experienceFamiliarity with federal data governance/compliance (FISMA, FedRAMP)An active Public Trust determination or federal clearance — a plus, not a requirementWho We're Looking ForSomeone 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 & BenefitsMarket-competitive pay. Full benefits — including health insurance and a 401(k) — upon conversion to full-time.
About UsLuminus 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. xzbcwsv We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Details
| Company | Luminus Analytics |
| Location | Washington, District of Columbia, United States |
| Type | FULL TIME |
| Niche | tech |