Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.
We are seeking a Data Engineer to design, build, and maintain secure, scalable data pipelines that enable effective use of enterprise data. In this role, you’ll collaborate with engineers, analysts, and data stewards to deliver reliable datasets and models that support analytics, reporting, and decision-making.
What You’ll Be Doing
- Design, build, and maintain ETL/ELT pipelines and integrations across legacy and cloud systems.
- Model, store, and transform data to support analytics, reporting, and downstream applications.
- Build API-based and file-based integrations across enterprise platforms.
- Ensure compliance with federal security and data governance frameworks (HIPAA, NIST, RMF, CMMC).
- Implement monitoring, logging, and data quality checks for reliable, scalable pipelines.
- Partner with analysts and data science teams to deliver trusted, AI-ready datasets.
- Support data migration and integration initiatives across enterprise systems.
- Maintain schema management, data lineage, and documentation to support audit and traceability.
- Troubleshoot ingestion, pipeline, and data quality issues.
What you’ll bring:
- 5+ years of experience in data engineering or data platform development.
- Strong SQL and experience with relational databases (PostgreSQL, Oracle, SQL Server, etc.).
- Hands-on with ETL/ELT tools (Talend preferred; Apache Spark, Apache Airflow, dbt, or Informatica).
- Experience with modern data platforms (Snowflake, Redshift, BigQuery, or equivalent).
- Proficiency in Python or similar for building and automating pipelines.
- Experience operating in cloud environments (AWS preferred, including GovCloud-style environments).
- Understanding of data lake or lakehouse architectures.
- Familiarity with security and compliance in federal or healthcare environments (HIPAA, NIST, RMF).
- Strong problem-solving skills working with large, complex datasets.
- Performs other related duties as assigned.
Nice to Haves:
- Familiarity with healthcare data standards (FHIR, HL7, or OMOP).
- Experience with Databricks or Jupyter.
- Exposure to ML pipelines or advanced analytics.
- Prior experience supporting DHA or federal healthcare programs.
Requirements:
- Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.
Education:
Benefits:
- Fully remote
- Tech & Education Stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO, Paid Holidays
Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing [email protected]
Compensation:
At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.
