Senior Data Engineer
Remote or Boston, MA
Applications have closed
Wellframe
Wellframe partners with health plans to provide digital health management solutions for digital care management and digital customer service.Wellframe was founded to counter a pressing industry problem: the healthcare system has struggled to find ways to support people in between care settings, at scale. We believe health plans are in the best position to advocate for their members as they navigate their health and care, but know that technology alone can’t help us achieve this ambition. That’s why our team of physicians, clinicians, public health experts, data scientists, engineers, and healthcare industry experts ensure our patented technology works in service of the person-to-person connections that make healthcare work best.
We are looking for a talented Senior Data Engineer to join our Data Engineering team. In this role, you will help to build ETL pipelines for retrieving and integrating customer data with our internal systems, moving data between our internal systems, and delivering data from our applications to our customers.
You will work closely with our Customer Success Organization to get deliverables implemented on time that match customer specifications, as well as working with other teams in Data & Analytics, Product and Engineering to design and build their data pipelines.
Areas of Responsibility:
- Designing and implementing ETL pipelines for processing customer and member data.
- Working in a cross functional environment collaboratively with customer success organization to translate requirements into technical design.
- Helping to monitor and maintain operational functionality of data pipelines and other jobs that fall under the ETL domain.
- Debugging and fixing production issues.
- Mentoring data engineers.
Skills and Experience:
- Bachelor’s degree in Computer Science, Computer Engineering, or a closely related field of study; Master's degree preferred.
- 5+ years development experience building ETL pipelines.
- Proficiency in Python and SQL; additional scripting languages like java a plus.
- Experience of cloud technologies such as GCP.
- Excellent communicator, comfortable explaining technical problems and plans in person and in writing.
- Passionate about leveraging their technical skills to help improve patient care.
- Working effectively in fast-paced, agile startup environment, and finds fulfillment delivering innovative solutions.
Bonus Skills:
- Experience with Apache Airflow.
- Experience with other ETL technologies or tools.
- Experience with Docker / Kubernetes.
- Experience in a startup environment.
- Experience in healthcare tech industry.
- Experience in a remote or a hybrid environment.
This posting is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee and any percentages listed are approximate. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Computer Science Data pipelines Docker Engineering ETL GCP Kubernetes Pipelines Python SQL
Perks/benefits: Salary bonus Startup environment Team events
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