Summary:
You will join a team charged with building our new product in the Provider
Data Management space. This is an incredible opportunity to help solve a significant
problem in the healthcare industry. Customer empathy and user-centric design will be a
priority. The ideal candidate will be excited about working on product development, is
comfortable pushing the envelope and challenging the status quo, sets high standards for him/herself and others, and works well with ambiguity.
Position Overview:
HealthEdge is in search of a Data Engineering Team Lead to join our Cloud Data
Engineering Team. The role focuses on designing, implementing, and testing cutting-edge technical data solutions. The Data Engineering team collaborates with business and technical partners to establish and maintain high-value data.
As the Data Engineering Team Lead, you will work closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. You will be critical in building the team’s engineering
practices in test-driven development, continuous integration, automated deployment and is a hands-on team member who actively coaches the team to solve complex problems.
She / he will be responsible for the design, development, performance, and support of the cloud data services.
What you will do:
- Lead the technical design, building, and testing of cloud data services; allowing
them meet performance, scalability, reliability, and security needs.
- Responsible for working with data asset-related technology that has been approved
by the architecture team to move, transform, and validate data between systems
and AWS Cloud.
- Provide data integration subject matterexpertiseto the team covering ETL/ELT. Can explain complex concepts to others and establish business value of solutions.
- Complete design, code review, and test case reviews to improve and set the bar for
the quality of the delivery. Providing guidance for the engineering team while
designing the data integration applications.
- In-depth knowledge of database structures/ data warehousing principles, and
experience in SQL across different platforms including structured and unstructured
data from various enterprise sources.
- 8+ years of hands-on experience in data engineering.
- Understand batch and real-time data integration patterns include ETL experience
(Informatica, Talend, SSIS, Azure Data Factory, etc.), SQL, data
streaming, etc.
- Experience in writing and executing complexSQL’s.
- Programmer experience in python procedural programming
- Experience with building DAGs in Airflow
- Proven technical skills in datamodeling, data management, data pipelines, ETL/ELT
- Hands-on experience integrating AI tools into daily workflows — including code generation, automated testing, documentation, and process automation — with the ability to evaluate, adopt, and adapt emerging AI technologies to improve team productivity.
- Strong communicationskills both written and verbal, with ability to communicate or
convey the results to audience at all levels.
- B.E. in computer science or equivalent experience
Bonus points:
- 3+ years ofHealthcaredomain experience, preferably with expertise in provider data
- Familiarity with HL7 FHIR data standard
Skills Required
- 8+ years of hands-on data engineering experience
- Experience designing, building, testing, and supporting cloud data services
- Experience with ETL/ELT and batch and real-time data integration patterns
- Experience with SQL across structured and unstructured enterprise data sources
- Experience writing and executing complex SQL queries
- Python procedural programming experience
- Experience building DAGs in Airflow
- Technical skills in data modeling, data management, data pipelines, and ETL/ELT
- Experience with data integration technologies such as Informatica, Talend, SSIS, or Azure Data Factory
- Hands-on experience integrating AI tools into engineering workflows
- Strong written and verbal communication skills
- B.E. in Computer Science or equivalent experience
- 3+ years of healthcare domain experience, preferably provider data
- Familiarity with the HL7 FHIR data standard
HealthEdge Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about HealthEdge and has not been reviewed or approved by HealthEdge.
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Leave & Time Off Breadth — Time off is positioned as relatively generous, with a large holiday calendar, vacation to start, unlimited sick time, and volunteer days. The overall package also includes flexibility elements that can increase the practical value of time off depending on role.
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Retirement Support — Retirement support stands out through a 401(k) match with immediate vesting, which strengthens the near-term value of the benefit. HSA/FSA options and employer contributions are also highlighted as part of the financial benefits mix.
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Inclusive Benefits Coverage — Medical coverage is described as inclusive, explicitly including infertility treatments and gender-affirming care alongside EAP and mental-health services. This breadth can improve perceived total rewards for employees with varied healthcare needs.
HealthEdge Insights
What We Do
HealthEdge is on a mission to drive a digital revolution in healthcare. We’re connecting health plans, providers, and patients with end-to-end digital technology solutions to support new business models, reduce administrative costs and improve health outcomes. Our growing portfolio of products (HealthRules Payor, Source, GuidingCare, and Wellframe) provides talented and passionate professionals with opportunities to lead change and make a lasting, global impact in healthcare. Driving our mission are 2,000+ professionals worldwide. Together, we are committed to innovating a world where healthcare can focus on people.
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