Protocol Data Engineer for FDA POC

Jimmy Jazz; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

APV seeks a data engineering professional to operationalize structured protocol data models for FDA proof of concept. You will design scalable data structures, implement ETL/ELT pipelines, and ensure traceability and provenance across transformations and outputs in FDA-approved environments.

You will work with AI/prompt engineering, data standards, and interoperability SMEs to deliver robust, reviewer-friendly data solutions and dashboards tied to protocol evidence.

Qualifications

• Extensive experience in database engineering, data architecture, and analytics.
• Proven relational and dimensional modeling, ETL/ELT design, data quality.
• Advanced SQL skills, PostgreSQL/PLpgSQL and Oracle PL/SQL experience.
• Experience with AWS data services and cloud databases (Redshift, Aurora).
• Experience integrating JSON/XML data and RESTful APIs; Python is a plus.

Responsibilities

• Implement protocol data structures and physical schemas for protocol data.
• Translate models into practical data-engineering components for POC.
• Develop ETL/ELT pipelines with provenance, metadata, and reviewer feedback.
• Support retrieval/semantic tooling and AI/prompt engineering collaboration.
• Ensure QA, reconciliation, validation, and traceability for FDA review.

Skills

Database engineering

Data architecture

ETL/ELT design

Data warehousing

Data quality

Advanced SQL

PostgreSQL

Oracle PL/SQL

AWS data services

JSON/XML data integration

Python

CI/CD practices

FISMA/NIST controls familiarity

Education

BS degree in Computer Science, Mathematics, Data Science or relevant technical field

Tools

PostgreSQL

Oracle PL/SQL

SQL Server

AWS Redshift

S3

Glue

Lambda

DMS

Databricks

RESTful APIs

Job description

APV seeks a data engineering professional to operationalize structured protocol data models for FDA proof of concept. You will design scalable data structures, implement ETL/ELT pipelines, and ensure traceability and provenance across transformations and outputs in FDA-approved environments.

You will work with AI/prompt engineering, data standards, and interoperability SMEs to deliver robust, reviewer-friendly data solutions and dashboards tied to protocol evidence.