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# Data & AI Engineer

- **Company:** JBM HOLDINGS, LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Big Data, Health Informatics, Profiling, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Github, JSON, Python (Programming Language), Machine Learning, Performance Tuning, Query Optimization, Power BI, SQL Stored Procedures, SQL Server Analysis Services, Systems Integration, Software Organization, Data Logging, Data Processing, Api Design, Software Version Control, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://vitalincite.com/careers/senior-data-ai-engineer/

## About the Role

* Five or more years of experience in data engineering, analytics engineering, software engineering, or a related technical discipline.
 * Advanced experience with SQL Server and T-SQL.
 * Strong experience designing, building, and supporting ETL processes and data pipelines.
 * Experience with stored procedures, performance tuning, query optimization, and large datasets.
 * Experience building data-validation, reconciliation, profiling, and quality-control frameworks.
 * Strong Python skills for data processing, automation, APIs, analytics, or machine learning.
 * Experience with data warehouses and business intelligence platforms, preferably SSAS, Power BI, or comparable technologies.
 * Experience designing monitoring, logging, exception-handling, and automated alert capabilities.
 * Experience developing APIs and integrating structured data, including CSV, Excel, JSON, and flat files.
 * Familiarity with GitHub, source control, testing, and modern software development practices.
 * Strong analytical and problem-solving skills, with the ability to translate technical capabilities into meaningful business value.
 * Ability to work independently, influence technical direction, and collaborate effectively with technical and nontechnical teams.
 * A practical, outcomes-focused approach to AI innovation, with an emphasis on building scalable solutions that solve real problems.
 * The successful candidate does not need to be an AI research scientist. We are looking for someone who knows how to apply AI safely, practically, and effectively to business, analytics, and data workflows

Healthcare Experience

Experience in healthcare, employee benefits, insurance, or another highly regulated data environment is strongly preferred.

Particularly relevant experience includes:

 * Commercial healthcare claims and eligibility data
 * Medical and pharmacy claims
 * Member-level healthcare analytics
 * Employer-sponsored health plans
 * Healthcare cost and utilization analysis
 * Clinical risk stratification
 * HIPAA, PHI, and healthcare data privacy requirements

## Description

Within the first 6 to 12 months, this individual will be expected to:

 * Accelerate priority AI initiatives already identified across Vital Incite.
 * Deliver practical, production-ready AI solutions that improve analytics, operations, or client support.
 * Improve the reliability and visibility of existing data-refresh processes.
 * Automate high-value data-quality and validation controls.
 * Reduce manual data investigation and file-mapping work.
 * Create reusable data-quality, monitoring, and exception-management capabilities.
 * Strengthen the technical and governance foundation needed to scale AI responsibly.
 * Establish repeatable approaches for evaluating, deploying, monitoring, and improving AI-enabled solutions.
 * Demonstrate measurable progress in using AI to increase efficiency, strengthen insights, and support better healthcare decisions.

Why Join Vital Incite?

You will not be joining an organization that is deciding whether AI matters. You will be joining one that has already made AI a strategic priority and is ready to accelerate and scale its use.

This is an opportunity to influence the direction of AI within a growing healthcare analytics organization, recommend technologies, collaborate directly with healthcare and business experts, and build solutions that address meaningful, real-world challenges.

You will have access to complex healthcare data, visible executive support, clearly identified use cases, and the opportunity to take solutions from concept through production. Your work will help improve how healthcare data is managed, validated, interpreted, and translated into action.

If you are energized by the opportunity to combine strong data engineering with practical AI innovation, take ownership of meaningful solutions, and help expand the use of AI to improve healthcare decision-making, we would love to hear from you.