Data Engineer

Endurance Group•Fayetteville, NC

23d

About The Position

Endurance Group is currently seeking a Data Engineer to build and maintain the data pipelines, data models, and curated datasets that support brain health and human performance analysis. Working primarily in Databricks and DHA-aligned medical data environments, you will integrate sensor, assessment, and medical data into secure, reliable, analysis-ready data products. Your work will provide the technical backbone that enables the team to generate defensible metrics, reporting, and decision-support products.

Requirements

Bachelor’s degree in Computer Science, Data Science, or a related field.
3+ years of experience in data engineering or a similar role.
Proficiency in SQL and experience with data warehousing solutions.
Familiarity with programming languages such as Python or Java.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Strong understanding of data modeling and database design principles.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a fast-paced environment.
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
3+ years of hands on data engineering experience.
Secret security clearance

Nice To Haves

Experience with DHA or military medical data
Experience Azure data services
Experience with FHIR/HL7
Experience with Longitudinal time-series data
Experience with event-based performance datasets is highly desired

Responsibilities

Ingest and transform structured and semi-structured data from wearable sensors, DHA medical data sources, assessments, and operational systems.
Design and maintain lakehouse or warehouse structures, including raw, validated, and curated data layers.
Develop reusable datasets, feature tables, and standardized semantic definitions to support consistent reporting and analysis.
Implement automated monitoring, validation, exception handling, and reconciliation processes to improve pipeline reliability and data trustworthiness.
Partner with the Data Scientist to understand analytic requirements and optimize datasets for metrics, dashboards, longitudinal analysis, and reproducible workflows.
Document source-to-target mappings, business rules, metadata, transformation logic, and pipeline dependencies.
Apply data security, access control, and governance practices appropriate for sensitive health, biometric, and operational information.
Collaborate with the Sensor Integrator to define data handoff processes, device metadata requirements, and collection quality checks.