Senior Data Engineer

Overview

HarmonyCares is a leading national value-based provider of in-home primary care services for people with complex healthcare needs. Headquartered out of Troy, Michigan, HarmonyCares operates home-based primary care practices in 14 states. HarmonyCares 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 difficult 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

401K 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 is required to be collaborative, curious, and detail-oriented 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 provide 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

Hands on development experience with DBT preferred

RDBMS (Oracle, PostgreSQL) and OLTP basics preferred

API development and integration preferred

Distributed compute optimization preferred

Hands on knowledge of Microsoft ADF preferred

Terraform (IaC) experience preferred

Working experience with AthenaOne EHR configuration, API integrations preferred

Deep understanding of claims data, provider attribution, actuarial services, Medicare/Medicaid data and programs, risk adjustment, value-based care models preferred

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

Posted Max Pay Rate
USD $205,000.00/Yr.
Posted Min Pay Rate
USD $130,000.00/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.