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Data Science Engineer, Analytics

Turquoise · San Diego, CA · 1 mo ago
RemoteRemoteInformation Technology$145k–$160k/yrFull-time

This is a fully remote role within the United States. We’re looking for a driven, entrepreneurial Data Science Engineer to join our team and help eliminate the financial complexity of healthcare.

About the role

We’re a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership. We operate on US business hours and work with clients entirely based in the US.

Responsibilities

  • Partner cross-functionally with Product, Engineering, and business stakeholders to define metrics, measure outcomes, and evaluate impact

  • Build and maintain data pipelines, data models, dashboards, and analytical infrastructure that support product, operational, and strategic decision-making

  • Conduct analyses to understand product adoption, customer engagement, business performance, and operational efficiency

  • Contribute to the development of analytics best practices, shared datasets, and company-wide metrics

  • Seek and act on feedback from internal stakeholders; iterate quickly with an eye toward value

Requirements

  • Bachelor's degree or equivalent experience

  • Non-traditional backgrounds welcome

  • 2+ years developing data models, pipelines, and end-to-end analytical solutions in Python and SQL

  • Comfortable with OOP and functional patterns, code organization beyond scripts, and debugging workflows

  • Experience with dataframe libraries (pandas, polars)

  • Experience with ETL/ELT workflows and orchestration (Airflow, dbt)

  • Comfort with cloud services (AWS S3, EC2, RDS)

  • Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads

  • Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs

  • Comfortable working remotely in a collaborative, technical team

Qualifications

  • Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads

  • Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads

  • Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads

  • Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads

  • Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads

Skills

  • Python

  • SQL

  • data modeling

  • ETL/ELT workflows

  • cloud services (AWS S3, EC2, RDS)

  • data analysis

  • data visualization

  • data engineering

Benefits

  • Competitive pay with equity options

  • Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options

  • Company-sponsored disability & life insurance

  • Unlimited PTO

  • 401(k) + 4% Matching

  • Fully remote work + flexible working hours

  • $750 work-from-home setup budget

  • Paid bi-annual in-person company gatherings

  • Quarterly $150 co-hanging stipend to meet up with coworkers

  • Monthly $100 health and wellness benefit

  • Annual $1,200 learning & development stipend

About Turquoise Health

Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, Adams Street, Yosemite, Bessemer Venture Partners, and others, we power price transparency for 300+ enterprise organizations and are building the infrastructure for a more open, efficient healthcare marketplace.

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