Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence / Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!
Job Description
Working under general supervision, you will design, build, and maintain data pipelines and applications that meet organizational standards and user requirements. You will test and validate software solutions, document issues and resolutions, propose process improvements, and help shape future data configurations for federal mission systems.
Key Responsibilities
- Develop, maintain, and troubleshoot data pipelines (ETL / ELT) in support of enterprise data systems
- Ingest and integrate data from diverse sources (structured / unstructured) ensuring data quality, version control, and cleanliness
- Work within the cloud environment (AWS, Azure) and related big-data technologies (e.g., Apache Spark / PySpark)
- Participate in workflow analysis and recommend data process and quality improvements
- Collaborate in building data models, analytics dashboards, and visualizations to deliver actionable insights
- Support application development within operational platforms (e.g., low-code / no-code environments) and help translate business needs into technical solutions
- Assist in integrating and deploying ML / AI model pipelines when applicable
- Document software and data issues; report progress on problem resolution to management
- Understand and apply system architecture, data security best practices, and compliance requirements relevant to federal environments
Required Qualifications
Must hold a current Secret ClearanceMust live within the DMV areaBachelor's degree in Computer Science, Engineering, Information Systems, or a related disciplineMinimum of 5 years of relevant experience (with 7 or more being highly desirable)Strong proficiency in Python (for data pipelines and custom logic)Solid experience with SQL and Apache Spark / PySparkFamiliarity with cloud platforms (AWS and / or Azure) and scalable data processingDemonstrated ability to build and support data integration pipelines and ensure data qualityAnalytical mindset with workflow / process review capability and documentation skillsUnderstanding of federal or defense mission IT environments, or willingness to rapidly adapt to such environmentsGood verbal and written communication skills; ability to interface across technical and business stakeholdersPreferred / Highly Desired Skills
Experience with Palantir Foundry platforms (ontology design, pipeline builder, low-code / no-code UI)Experience with JavaScript / TypeScript and / or React for front-end or application UI developmentPrevious experience in DoD / federal systems, including clearance environment and compliance frameworksHands-on experience integrating machine learning pipelines (feature engineering, model deployment)Familiarity with DevOps, CI / CD, version control, and data governance best practicesHalvik offers a competitive full benefits package including :
Company-supported medical, dental, vision, life, STD, and LTD insurance
Benefits include 11 federal holidays and PTO
Eligible employees may receive performance-based incentives in recognition of individual and / or team achievements.
401(k) with company matching
Flexible Spending Accounts for commuter, medical, and dependent care expenses
Tuition Assistance
Charitable Contribution matching
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.