Solace is a healthcare advocacy marketplace that connects patients and families to experts who help them understand and take charge of their personal health.
As a Python Analytics Engineer at Solace, you will own the systems and data models that turn complex healthcare data into actionable insights.
You will collaborate closely with analysts, data scientists, and engineers to build robust data pipelines, semantic layers, and curated data marts for self-serve analysis across the company.
The role requires you to think like an analyst and operate like a product builder, focusing on data modeling and workflow automation.
You will optimize SQL, automate workflows with Python, and build analytics-ready tables in Snowflake, ensuring clean and trusted data for decision-making.
Solace is a Series B startup founded in 2022, fully remote, and mission-driven, aiming to redefine healthcare.
Requirements:
You must have strong Python skills, particularly in data transformation and workflow automation.
Advanced SQL expertise is required, with experience in designing and optimizing data models in Snowflake or Postgres.
Hands-on experience with modern data orchestration tools like DBT and Airflow is necessary.
A track record of building analytics-ready datasets, semantic layers, or curated data marts is essential.
You should be comfortable working cross-functionally with product, analytics, and engineering teams.
Familiarity with internal BI and dashboarding frameworks like Streamlit or Dash is required.
Benefits:
This position offers the opportunity to work in a fully remote environment.
You will be part of a lean, mission-driven team that is growing quickly and focused on redefining healthcare.
The role provides a chance to stretch yourself and do the best work of your life alongside a dedicated team.
You will contribute to data engineering best practices, including version control, code review, documentation, and CI/CD for analytics workflows.
