Data Engineer

MaxHP is hiring a Data Engineer. The Data Engineer builds and sustains the data foundation of the POTFF Enterprise Data and Analytics function. The Data Engineer acquires, integrates, and prepares data from the Government-designated Human Performance System of Record (e.g., HPDMS) and other Government-approved sources; designs, implements, and maintains scalable, reproducible data pipelines and curated, analysis-ready datasets on the Government-furnished technology stack; and enforces the data quality, lineage, and governance controls that make downstream analysis defensible. The Data Engineer provides the data engineering expertise for the enterprise data science team and works in direct support of the Data Scientists, Senior Data Scientists, and Data Science Advisor. Data Engineer billets are normally established at the enterprise (headquarters) level in support of the enterprise data science team.

U.S. citizenship is required. Candidates must possess an active U.S. Government security clearance or be eligible to obtain and maintain a security clearance as required for contract performance.

This position is pending upon contract award. Candidates should be able to support operations at one or more of the following locations: Tampa, FL

At MaxHP, your expertise supports a mission that matters. As a joint venture between Maximus and Endurion, MaxHP brings together specialized capabilities and resources to support the POTFF Program, strengthening human performance, resilience, and mission readiness across the Special Operations community. Our professionals play an essential role in supporting the people behind the mission, helping Service members and their families remain strong, ready, and resilient. Here, your experience becomes part of something bigger: directly supporting those who serve at the highest levels of our Nation’s defense.

About the POTFF Program:

The Preservation of the Force and Family (POTFF) program supports U.S. Special Operations Forces (SOF) personnel and their families through an integrated, holistic approach to human performance, health, and readiness. The program brings together specialized professionals across physical, psychological, cognitive, social, and spiritual performance to strengthen resilience, optimize performance, and support long-term mission readiness and career longevity.

Essential Duties and Responsibilities:

• Design, implement, and maintain scalable extract-transform-load and extract-load-transform (ETL/ELT) pipelines on the Government-furnished technology stack (e.g., SQL Server, Databricks, and Apache Spark (PySpark)) for batch and scheduled processing and data transformation.

• Fuse disparate structured, semi-structured, and unstructured data sources from across the POTFF enterprise, including the Government-designated Human Performance System of Record (e.g., HPDMS), assessment and wearable data, and other Government-approved systems, into curated, analysis-ready datasets.

• Implement rigorous data quality controls, validation rules, lineage documentation, and performance tuning to ensure reliable, reproducible, and secure pipelines; monitor scheduled and orchestrated workloads and resolve failures.

• Develop and maintain data models, data dictionaries, metadata, and transformation logic under version control, and document data sources, assumptions, and processing steps to ensure transparency and operational continuity.

• Prepare and curate text and other unstructured data to support Natural Language Processing (NLP) and Large Language Model (LLM) use cases executed by the data science team within Government-approved tools.

• Support the integration of curated data products into Government-furnished visualization and low-code tools and the deployment of analytic products into operational workflows, including basic machine-learning operations (MLOps) practices where directed by the Government.

• Apply Government data governance, security, and privacy requirements, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols, to all data handling, and implement data access controls as directed by the Government.

• Collaborate with Government personnel, clinicians, program staff, and the data science team to identify new data sources, improve the quality of data entered into Government systems, and translate analytical requirements into data requirements.

• Provide data engineering expertise and technical guidance to Data Scientists and Senior Data Scientists.

Required Minimum Experience and Skills:

• Possess a bachelor’s degree in a quantitative or computing discipline, including but not limited to computer science, computer engineering, software engineering, information systems, data science, data engineering, mathematics, statistics, or geospatial science or geoinformatics, with documented coursework or professional application in programming, databases, and quantitative analysis. A candidate without the degree qualifies with the experience stated under Required Minimum Experience/Skills.

• Demonstrated proficiency in SQL and in Python or a comparable language used for data engineering, demonstrated through professional work experience.

• Demonstrated experience building and operating data pipelines, including ETL/ELT design, data modeling, data quality checks, reproducible pipeline design, and version control (Git).

• Ability to communicate clearly with analysts and non-technical stakeholders and to document technical work for continuity.

• Desired (not required): Experience with Palantir Foundry (including ontology development) or a comparable data-integration platform.

• Desired (not required): Experience with distributed processing frameworks such as Databricks and Apache Spark (PySpark).

• Desired (not required): Familiarity with Power BI semantic modeling and with the Microsoft Power Platform (Power Apps and Power Automate).

• Desired (not required): Familiarity with deploying analytics or machine-learning models into applications and with MLOps concepts.

• Desired (not required): Experience working in a DoW-authorized cloud environment.

• Desired (not required): Experience with human performance, health, clinical, or biomedical data.

• Minimum of three (3) years of professional experience in data engineering, database development, or data pipeline development. Without the bachelor’s degree, a minimum of five (5) years of such experience.

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Minimum Salary

$166,200

Maximum Salary

$216,800