Senior Data Engineer

HarmonyCares; United States; On-site; USD 130,000 - 205,000; Full time

Job summary

HarmonyCares is seeking a Senior Data Engineer to design, develop, and optimize scalable data infrastructure supporting analytics and operations for in‑home primary care services. You will collaborate with product teams to translate requirements into robust, secure data pipelines and models, ensuring performance and reliability.

The role demands deep experience in healthcare data, big data platforms, and modern tools like Databricks, Spark, Python, and SQL, with a focus on DevOps and agile

Qualifications

• Bachelor’s degree in computer science, engineering or related field, or equivalent experience.
• 10+ years of hands‑on data engineering experience.
• 5+ years in data modeling and solution design in healthcare/health insurance.
• 5+ years in enterprise software in regulated industry (healthcare/financial).
• 5+ years working with clinical and claims data, HIPAA/HITRUST/SOC2 familiarities, EMR integrations.
• 5+ years in enterprise big data platform infrastructure development.
• Recent role in HCLS data engineering space.
• Deep knowledge of modern big data processing, cloud security.
• Expert Python and SQL.
• Databricks experience preferred.
• Data loading with Spark platform.
• Cloud architecture and security.
• DevOps and release engineering.
• SDLC, DevOps, version control, deployment best practices.
• Agile methods, JIRA/ADO/ServiceNow usage.
• Strong critical thinking and collaboration.
• Knowledge of claims data, provider attribution, Medicare/Medicaid, risk adjustment.

Responsibilities

• Translate business and user requirements into scalable data solutions focusing on performance and security.
• Develop and maintain ETL code, scalable data models, and rules-engine driven integrations.
• Lead code reviews, mentor juniors, and contribute to DevOps automation.
• Build data integration solutions across platform types with strong security practices.
• Train developers and stakeholders on new solutions and processes.
• Adhere to agile/scrum processes and continuously improve technical skills.
• Support ongoing optimization and problem solving across data pipelines.

Skills

Python

SQL

Databricks

Cloud security

DevOps

SDLC

Education

Bachelor’s degree in CS/Engineering

Master’s degree (preferred)

Tools

DBT

Terraform

Draw.io

Lucidchart

AthenaOne API

Spark

JIRA

ServiceNow

Job description

Overview

HarmonyCares is a leading national value‑based provider of in‑home primary care services for people with complex healthcare needs. Headquartered in Troy, Michigan, HarmonyCares operates home‑based primary care practices in 14 states. The company employs more than 200 primary care providers to deliver patient‑centered care under an integrated, team‑based, physician‑driven model.

Our Mission

To bring personalized, quality‑based healthcare to the home of patients who have difficulty accessing care.

Our Shared Vision

Every patient deserves access to quality healthcare.

Our Values

The way we care is our legacy. Every interaction counts. Go the extra mile. Empower and support each other.

Why You Should Want to Work with Us

• Health, Dental, Vision, Disability & Life Insurance, and much more
• 401 K Retirement Plan with company match
• Tuition, Professional License and Certification Reimbursement
• Paid Time Off, Holidays and Volunteer Time
• Paid Orientation and Training
• Great Place to Work Certified
• Established in 11 states
• Largest home‑based primary care practice in the US for over 28 years, making a huge impact in healthcare today!

More details about the benefits we offer can be found at https://careers.harmonycares.com/benefits.

Responsibilities

The Senior Data Engineer is responsible for designing, developing, and optimizing scalable data infrastructure as well as tidy healthcare data products supporting advanced analytics and healthcare operations. The role requires a collaborative, curious, and detail‑oriented mindset and innovates using future‑proofing principles in software architecture.

Essential Duties and Responsibilities

• Partner with end users and product team to translate business and user requirements into technical solutions using system thinking principles, ensuring performance, scalability, maintainability, security, and user experience.
• Complete tasks using and lead by example with:
  • Clean, well‑documented, quality and efficient ETL code.
  • Well‑architected scalable data models and code that scales via rules engine designs.
  • Debugging and troubleshooting complex data issues and providing timely solutions.
  • Contribution to improvement of DevOps and ProdOps with automation of builds, testing, deployment and monitoring.
  • Peer code reviews, mentoring and training junior team members.
  • Build scaled jobs and data integration solutions across platform types with best practice in security and network engineering.
  • Train other developers and stakeholders in adoption of new solutions.
  • Adherence to agile and scrum processes.
• Continuously improve technical skills and stay current with emerging technologies, integrating these into the platform and/or development processes to keep enhancing developer productivity and capabilities of the system.
• Consistently demonstrate deep critical thinking, curiosity, and strong collaboration.
• Consistently demonstrate a sustained drive to understand problems at their core, evaluate all viable options, and deliver the most effective solution.
• Employees will be required to perform other job‑related assignments as requested.

Qualifications

Required Knowledge, Skills and Experience

• Bachelor’s degree in computer science, Engineering or a related field or equivalent experience.
• 10+ years of hands‑on data engineering experience.
• 5+ years of data modeling and solution design experience in healthcare/health insurance domain.
• 5+ years of experience working in an enterprise software environment in a regulated industry (example: healthcare, financial services).
• 5+ years of experience working with clinical and claims data, including familiarity with compliance (HIPAA, HITRUST, SOC2), EMR integrations, care delivery, and platforms supporting patients and providers.
• 5+ years of experience in enterprise big data platform infrastructure development.
• Most recent role must have been in HCLS data engineering space.
• Deep hands‑on knowledge of modern big data processing practices, architectures, and tools, including cloud security.
• Expert Python and SQL.
• Databricks (expert preferred).
• Data loading solution in conjunction with a Spark‑based data platform.
• Cloud architecture and security.
• DevOps and release engineering.
• Technical diagramming (Draw.io/Lucid).
• Healthcare data modeling and ETL development.
• Experience using AI tools to augment and force multiply code development.
• Application of SDLC, DevOps, version control, and code deployment best practices.
• Application of agile software engineering principles, plus use of JIRA/ADO/ServiceNow or similar.
• Strong critical thinking ability.
• Deep understanding of claims data, provider attribution, actuarial services, Medicare/Medicaid data and programs, risk adjustment, value‑based care models.

Preferred Knowledge, Skills and Experience

• Master’s degree in computer science, information systems, or another engineering discipline.
• Prior experience working with AthenaOne EHR configuration, API integrations.
• Previous role as cloud solutions architect.
• AWS/Azure cloud architecture certifications.
• Hands‑on development experience with DBT.
• RDBMS (Oracle, PostgreSQL) and OLTP basics.
• API development and integration.
• Distributed compute optimization.
• Hands‑on knowledge of Microsoft ADF.
• Terraform (IaC) experience.
• Working experience with AthenaOne EHR configuration, API integrations.

Pay Information

• Posted Max Pay Rate: USD $205,000.00 / Yr.
• Posted Min Pay Rate: USD $130,000.04 / Yr.
• Pay Transparency: Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, and other job‑related considerations.