Data Engineer
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Full-time
USD75.4K - 100K/year
~COP150M - 200M/year
+ Equity
+ Bonuses
Posted about 3 years ago
Responsibilities
Founded in 2017 by Carolyn Witte and Felicity Yost, Tia is the modern medical home for women. Tia has raised more than $132 Million in venture capital funding to date, including a $100 Million Series B investment, one of the largest early-stage rounds ever for a healthcare company focused on women. Since launching in 2017, Tia has grown to serve thousands of women aged 18-80 with blended in-person and virtual care in New York City, Los Angeles, Phoenix and San Francisco. In 2023, Tia announced its most recent joint venture partner, Cedars-Sinai.
Tia is seeking an experienced Data Platform Engineer to build and manage a modern data architecture to drive our data-driven decision making. As our first Data Platform Engineer, you will be responsible for designing and implementing maintainable, reliable, secure and scalable data infrastructure and pipelines to support our growing data needs. As the bridge between analytics and engineering, you will work cross functionally with Product, Engineering, Operations, Security, amongst others, to deliver impactful data technology solutions.
Responsibilities:
- Own and implement the architecture of our data infrastructure, solving problems related to performance, reliability, and scalability.
- Own our ETL/ELT strategy.
- Manage and maintain our data infrastructure (data warehouse, ETLs, BI tools), including infrastructure provisioning, configuration management, and deployment automation using infrastructure-as-code
- Design the development processes for data engineering including change management, testing, CI/CD, and deployment
- Thought partner with analytics director and data users to prioritize and resolve data challenges
- Collaborate cross functionally across the business to create self-service data solutions
- Collaborate with your teammates on the platform team to contribute to the design and implementation of our cloud infrastructure
- Collaborate with the security team to develop and implement data governance and security policies to protect our patient’s sensitive data