Senior Healthcare Data Engineer

Jobot; Chicago (IL); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Company paid health plan for employees

Equity in high-growth start-up

Flexible Hours

Very generous PTO

Dental and Vision, FSA, HSA

Small team, autonomy

Job summary

Jobot is seeking a Senior Healthcare Data Engineer to join a fast-growing AI-driven healthcare technology company. You will evaluate data sources, design scalable data transformations, and ensure healthcare datasets support critical business reporting.

You will partner with software engineers, product leaders, and external integration partners to solve challenging data quality problems while helping build a scalable framework for future healthcare integrations.

Qualifications

• 5+ years of experience in Data Engineering, Analytics Engineering, Data Science, or Data Quality Engineering.
• Expert-level SQL skills.
• Strong Python experience, including pandas or similar data processing libraries.
• Experience building or supporting ETL pipelines and data ingestion workflows.
• Strong understanding of relational databases, data modeling, and schema design.
• Ability to investigate complex data quality issues and communicate technical findings clearly.
• Experience working with cloud data platforms such as Snowflake, AWS, S3, or similar technologies.

Responsibilities

• Profile and validate data from Electronic Health Record (EHR) and Practice Management (PMS) systems.
• Analyze complex healthcare datasets to determine completeness, consistency, and reporting readiness.
• Design data mapping and normalization logic across disparate source systems.
• Partner with engineering to build and enhance production ETL and data ingestion pipelines.
• Develop automated monitoring, reconciliation, and data quality validation processes.
• Collaborate with external vendors and integration partners to resolve data issues.
• Help establish best practices, reusable tooling, and scalable processes for future integrations.

Skills

SQL

Python (pandas)

ETL pipelines

Data modeling

Cloud platforms (Snowflake/AWS S3)

Tools

Snowflake

AWS S3

Job description

Incredible opportunity to join a fast growing AI-driven healthcare technology company!

Salary: $120,000 - $150,000 per year

A bit about us:

Our client is an award-winning, AI-driven healthcare technology company that's transforming how multi-location healthcare organizations leverage data to make smarter business decisions. As they continue to scale, they're building a brand-new Healthcare Data Integrations team responsible for ensuring the quality, integrity, and reliability of the data powering their analytics platform.

This is an opportunity to join a small, highly collaborative team where you'll have significant ownership and influence over the tools, standards, and processes that support the company's next phase of growth.

Why join us?

• Competitive Base Salary
• Company paid health plan for employees
• Equity in high-growth start-up (not in lieu of a salary)
• Flexible Hours
• Very generous PTO
• Dental and Vision, FSA, HSA
• Small team, autonomy
• Many more great perks!

Job Details

As a Senior Healthcare Data Engineer, you'll work at the intersection of healthcare data, engineering, and analytics. You'll evaluate new data sources, design scalable data transformations, and ensure complex healthcare datasets are accurate enough to support critical business reporting.

You'll partner closely with software engineers, product leaders, and external integration partners to solve challenging data quality problems while helping build a scalable framework for future healthcare integrations.

Responsibilities include:

• Profile and validate data from Electronic Health Record (EHR) and Practice Management (PMS) systems.
• Analyze complex healthcare datasets to determine completeness, consistency, and reporting readiness.
• Design data mapping and normalization logic across disparate source systems.
• Partner with engineering to build and enhance production ETL and data ingestion pipelines.
• Develop automated monitoring, reconciliation, and data quality validation processes.
• Collaborate with external vendors and integration partners to resolve data issues.
• Help establish best practices, reusable tooling, and scalable processes for future integrations.

What We’re Looking For:

• 5+ years of experience in Data Engineering, Analytics Engineering, Data Science, or Data Quality Engineering.
• Expert-level SQL skills.
• Strong Python experience, including pandas or similar data processing libraries.
• Experience building or supporting ETL pipelines and data ingestion workflows.
• Strong understanding of relational databases, data modeling, and schema design.
• Ability to investigate complex data quality issues and communicate technical findings clearly.
• Experience working with cloud data platforms such as Snowflake, AWS, S3, or similar technologies.

Preferred Experience:

• Healthcare data experience involving EHR, EMR, Practice Management Systems, clinical, financial, or claims data.
• Knowledge of FHIR or healthcare interoperability standards.
• Experience working with HIPAA-protected data.
• Familiarity with healthcare integration platforms or third-party data aggregators.

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.

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