Mindoula is looking to add an innovative Lead Data Engineer (100% Remote) to join our team and support our fast-growing organization. In this position, you will lead innovation through exploration, benchmarking, making recommendations, and implementing big data technologies for platforms.
About Us: Mindoula is a leading population health management company that scales the human connection through technology to address mind, body, and life challenges. Mindoula identifies, engages, and serves populations that might otherwise be overlooked or left behind and delivers tech-enabled, team-based support across the continuum of care.
Comprehensive Benefits Package:
- Freedom and Flexibility: Design your own workday - we’ve been remote-first from our founding
- Insurance: Medical, dental, and vision insurance for you and your dependents
- Up to 8 weeks of paid parental leave
- Up to 3 weeks of Personal Time Off, 11 Paid Holidays and 4 mental wellness days
- Wellbeing: Employee Assistance Program and Wellness programs available to you and your dependents
- Technology: You get what you need to be successful in the role (MacBook, iPhone, remote technologies)
- 401k with employer match
- Personal Development Program
Tasks & Responsibilities:
- Be part of the data team, collaborate with product and engineering teams in developing the data required to support the functionality and new features of our platforms.
- Collaborate with Data Scientists and Data Analysts to develop the data structures required to train and deploy predictive models.
- Manage ingestion process of various input data sources (healthcare data, medical claims, pharmacy claims, etc.) and develop/maintain the common schema to store healthcare information of members.
- Manage tools and processes to transform the data to derive key insights and analytics to power the intelligence of our platform.
- Design and implement the data solutions using suitable data technologies and tools.
- Lead and mentor the team of engineers to maintain the technology stack and appropriate quality standards while also being hands-on developer working along with other developers on the team.
- Must be self-driven and a quick learner.
- Requires strong problem-solving, analytical and communication skills.
- Healthcare data experience (medical/pharmacy claims) is a plus.
Technologies:
- Data Platforms: Spark, Python/Scala, Databricks
- Databases: Postgres, Microsoft SQL Server
- Hosting: Microsoft Azure
- Tools: Github, CircleCI, CodeClimate
What will make you successful:
- Bachelor's Degree in Computer Science, Engineering, Data Science, or related technical fields
- 3+ years of relevant Data Engineering experience (Python, SQL, Spark) is required
- Experience with Databricks preferred
- Medical / Pharmacy claims data experience preferred
- Motivated self-starter that thrives on innovation and technology
- Strong problem-solving, analytical, and communication skills
Come be part of the solution!