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 matter expertise to 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 complex SQL's.

- Programmer experience in python procedural programming.

- Experience with building DAGs in Airflow.

- Proven technical skills in data modeling, 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 communication skills both written and verbal, with ability to communicate or convey the results to audience at all levels.

Bonus points :

- 3+ years of Healthcare domain experience, preferably with expertise in provider data.

- Familiarity with HL7 FHIR data standard.