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2 jobs found

1d ago

Protocol Data Engineer

A P Ventures LLC Remote 🌍 Remote

Remote

1d ago

Full time Amazon Web Services Artificial Intelligence AWS

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Job Description

Hands-on protocol data engineering role supporting an FDA proof of concept for AI-assisted clinical trial protocol review.

Responsibilities

Implement protocol data structures and physical schemas for extraction, normalization, storage, retrieval, comparison, and reviewer-facing use covering ICH M11-aligned and historical protocols.
Translate approved ICH M11, CDISC USDM, ontology, metadata, and terminology models into practical database structures and POC data-engineering components.
Develop and support ETL/ELT pipelines and data transformations for protocol content and structured outputs, preserving source provenance, metadata, assumptions, validation status, and reviewer feedback.
Collaborate with AI/prompt engineering and standards SMEs to support retrieval-augmented generation (RAG), semantic retrieval, indexing, evidence caching, and protocol comparison components.
Support integration with FDA-furnished Elsa/HALO capabilities and FDA-approved data services, including PostgreSQL and/or HALO/Databricks, for evidence caching, retrieval, analytics, and dashboard-ready outputs.
Build advanced SQL and data-access logic for protocol extraction, historical retrieval and comparison, reviewer dashboards, and traceability to source evidence.
Execute data-focused quality assurance, reconciliation, validation, and regression testing, including checks for completeness, mapping consistency, retrieval quality, unsupported values, ambiguity, and reproducibility.
Document data models, interfaces, transformations, mappings, implementation decisions, technical limitations, and operational considerations to support FDA review, knowledge transfer, and future expansion.
Work closely with clinical protocol, data standards, architecture, interoperability, and AI/prompt engineering SMEs.
Participate in FDA technical working sessions, POC demonstrations, validation activities, and iterative refinement based on reviewer feedback.
Support implementation within FDA-provided platforms and approved data environments; the base effort is a POC and does not require a separate production platform.
Provide practical database engineering and data-quality expertise while relying on designated SMEs for clinical interpretation and standards governance.

Requirements

Extensive experience in database engineering, data architecture, information modeling, and analytics in complex enterprise environments.
Strong expertise in relational and dimensional data modeling, metadata management, ETL/ELT design, data warehousing, and data quality.
Advanced SQL skills, including PostgreSQL/PLpgSQL and/or Oracle PL/SQL; SQL Server experience beneficial.
Experience with AWS data services and cloud database platforms such as Aurora PostgreSQL, Redshift, S3, Glue, Lambda, and DMS.
Experience integrating JSON/XML data and RESTful APIs; working knowledge of Python and CI/CD practices beneficial.
Federal health, clinical research, or regulated-environment experience preferred; familiarity with FISMA/NIST controls beneficial.

Technologies

PostgreSQL
PLpgSQL
Oracle PL/SQL
SQL Server
AWS
Aurora PostgreSQL
Redshift
S3
Glue
Lambda
DMS
JSON
XML
RESTful APIs
Python
CI/CD
Elsa/HALO
HALO/Databricks
ETL/ELT
RAG
FISMA
NIST
ICH M11
CDISC USDM

Location

Remote

Clearance

Must be able to obtain a High-Risk Public Trust

Education

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

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1mo ago

Database Administrator / Data Engineer

Career Land Center, LLC Richmond, VA

Richmond, VA

1mo ago Closed

Full time Amazon Rds Amazon Web Services AWS

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Hybrid role in Richmond, VA supporting a high-impact database migration and data platform modernization. You will help move on-premises SQL Server databases into cloud environments using AWS and Snowflake, while building Python-based processing and AWS data pipelines that support application data running on Amazon RDS and DynamoDB.

Career Land Center, LLC needs a hands-on Database Administrator / Data Engineer with experience migrating enterprise databases and implementing reliable pipeline workflows. This position is planned through July 31, 2026, with a possibility of extension, and is set up as a hybrid schedule requiring 2–3 days onsite each week (with additional days when requested).

Responsibilities

Support database migration from on-prem SQL Server to cloud targets including AWS and Snowflake
Perform Python-based data processing and support data loads
Develop AWS data pipelines for applications that use Amazon RDS and DynamoDB

Requirements

5+ years of experience in Database Administration, Data Engineering, or a similar role
Experience migrating on-prem SQL Server databases to AWS and Snowflake
Experience using AWS Database Migration Service (DMS) or similar migration tools
Hands-on experience with AWS database technologies including Amazon RDS and DynamoDB
Experience writing Python scripts for data processing and data loads
Experience building AWS data pipelines using S3, Glue, and Lambda
Experience with data modeling and support for application data environments
Experience with PostgreSQL, SQL Server, and DynamoDB
Familiarity with GitHub or similar version control tools

Location and Availability

Richmond, VA (Hybrid)
Hybrid requirement: 2–3 days onsite each week, plus additional days if requested
Candidates must currently reside in the United States
Local candidates near Richmond, VA are preferred due to onsite needs
Parking is not provided for contractors

Technology scope: AWS, Snowflake, Amazon RDS, DynamoDB, AWS Database Migration Service (DMS), Python, S3, Glue, Lambda, PostgreSQL, SQL Server, GitHub.

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Aws Dms Data Jobs

Protocol Data Engineer

Database Administrator / Data Engineer

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