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Data Engineer / Data Scientist – Healthcare Data Integrations

Jobot

Nashville, TN(remote)

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JOB DETAILS
SALARY
$120,000–$150,000 Per Year
SKILLS
Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Automation, Business Intelligence, Cloud Computing, Cloud Storage, Communication Skills, Continuous Improvement, Continuous Integration, Customer/Client Research, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Database Extract Transform and Load (ETL), Dental Insurance, Documentation, HIPAA (Health Insurance Portability and Accountability Act), Health Insurance, Healthcare, Healthcare Providers, Hospital/Healthcare Construction, Identify Issues, Legal, Machine Tool, Make-Versus-Buy Analysis, Marketing, Medical Record System, Onboarding, Operational Strategy, Process Improvement, Python Programming/Scripting Language, Quality Management, Reconciliation, Relational Databases (RDBMS), Return on Investment (ROI), Revenue Analysis, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Software Engineering, Standards Development, Team Player, Veterinary Medicine, Vision Plan, Work From Home
LOCATION
Nashville, TN
POSTED
Today
Help Shape the Future of Healthcare Data & AI

This Jobot Job is hosted by: Robert Donohue
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $120,000 - $150,000 per year

A bit about us:

We're an AI-powered healthcare technology company helping multi-location healthcare, dental, and veterinary organizations better understand the return on their marketing investments. Our platform connects marketing activity directly to patient appointments, visits, and revenue, giving our customers the insights they need to grow their practices.

As we continue to expand, we're building a dedicated Healthcare Data Integrations team responsible for bringing together data from Electronic Health Records (EHRs) and Practice Management Systems (PMSs). This is an opportunity to join a small, high-impact team where you'll help define processes, build scalable solutions, and play a critical role in the future of our data platform—all while working remotely.

Can we remote for candidates living in any of these states: North Carolina, Colorado, Florida, Illinois, Indiana, Ohio, Rhode Island, South Carolina, Tennessee, Virginia

Why join us?
  • 100% Remote (Must live in any of these states: North Carolina, Colorado, Florida, Illinois, Indiana, Ohio, Rhode Island, South Carolina, Tennessee, Virginia)
  • Salary: $120,000–$150,000
  • Performance Bonus
  • Equity (Stock Options)
  • 401(k) with 4% company match (immediately vested)
  • 100% company-paid employee medical insurance
  • 80% company-paid dental insurance
  • Company-paid Short-Term & Long-Term Disability
  • Vision Insurance
  • Unlimited PTO
  • Opportunity to build a brand-new Healthcare Data Integrations team
  • Work with cutting-edge AI, healthcare, and cloud technologies
  • High visibility with significant influence on product and platform direction


Job Details

We're seeking a Data Engineer / Data Scientist who enjoys solving complex data challenges and transforming messy healthcare data into reliable business intelligence.

In this role, you'll evaluate new healthcare data sources, profile data quality, define transformation logic, and partner with engineering to build scalable data ingestion pipelines. Your work will directly impact analytics used to measure patient acquisition, marketing ROI, and revenue across thousands of healthcare providers.

This is a highly collaborative, hands-on role that combines healthcare data, cloud technologies, AI, and data engineering.

Responsibilities
Healthcare Data Analysis
  • Evaluate new EHR, PMS, and healthcare partner data sources
  • Profile incoming datasets for completeness, consistency, and reporting readiness
  • Validate patient, appointment, encounter, and revenue data
  • Make data quality recommendations for new integrations

Data Quality & Data Science
  • Identify data quality issues impacting reporting accuracy
  • Define normalization and mapping logic across multiple healthcare systems
  • Build repeatable validation processes
  • Ensure high levels of data integrity across all integrations

Data Engineering
  • Develop SQL and Python-based validation and transformation processes
  • Partner with engineering to build scalable ETL and ingestion pipelines
  • Support integrations involving data lakes, cloud storage, Snowflake, and file-based ingestion
  • Build monitoring and reconciliation processes to maintain data accuracy

Healthcare Integrations
  • Support integrations with EHR and Practice Management Systems
  • Work directly with third-party vendors and healthcare technology partners
  • Assist with integration onboarding and implementation
  • Evaluate build-versus-buy integration strategies

Process Improvement
  • Build reusable tooling and templates
  • Improve automation around healthcare data validation
  • Develop standards and documentation
  • Continuously improve integration quality and operational efficiency

Qualifications
  • 5–7 years of experience in Data Science, Data Engineering, Analytics Engineering, or Data Quality
  • Advanced SQL skills
  • Strong Python programming experience
  • Experience using Pandas or similar data analysis libraries
  • Strong understanding of relational databases and data modeling
  • Experience building or supporting ETL and data ingestion pipelines
  • Experience working with Snowflake, AWS, S3, data lakes, or cloud data platforms
  • Excellent analytical and troubleshooting skills
  • Strong communication and documentation abilities
  • Passion for solving complex data quality challenges

Preferred Qualifications
  • Experience working with healthcare data
  • Knowledge of Electronic Health Records (EHR)
  • Experience with Practice Management Systems (PMS)
  • Familiarity with FHIR
  • Experience with:

o ModMed
o NextGen
o Open Dental
o WinOMS
o Carestream
o Athena
o AdvancedMD
o eClinicalWorks
  • Snowflake experience
  • AWS experience (S3, IAM)
  • HIPAA and PHI experience
  • Healthcare data integration experience
  • Marketing attribution or revenue analytics experience
  • Interest in automation and internal tooling


Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

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About the Company

J

Jobot

Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.

Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection.  As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).

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COMPANY SIZE
100 to 499 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
2018
WEBSITE
http://www.jobot.com

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