Python Analytics Engineer

Solace is a healthcare advocacy marketplace that connects patients and families to experts who help them understand and take charge of their personal health

About the Role

As a Python Analytics Engineer at Solace, you’ll sit at the intersection of engineering, analytics, and product—owning the systems and data models that turn complex healthcare data into actionable insight. You’ll partner closely with analysts, data scientists, and engineers to build robust data pipelines, semantic layers, and curated data marts that enable powerful self-serve analysis across the company.

You are an engineer who thinks like an analyst and operates like a product builder. You have a deep understanding of data modeling and workflow automation, and you thrive on making data more usable, reliable, and discoverable. Whether you’re optimizing SQL, automating workflows with Python, or building analytics-ready tables in Snowflake, you take pride in delivering clean, trusted data that powers decision-making.

About Solace

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes.

We're a Series B startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, and Signalfire. Our fully remote U.S. team is lean, mission-driven, and growing quickly.

Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way.

Read more in our Wall Street Journal funding announcement here.

What You’ll Do

• Collaborate with analysts, engineers, and business leaders to design scalable data models and workflows.

• Build and maintain analytics-ready datasets, data marts, and semantic layers in Snowflake and Postgres.

• Write production-quality Python code to automate workflows, data validation, and ETL orchestration using tools like DBT and Airflow.

• Optimize SQL transformations and ensure the accuracy, usability, and transparency of data assets.

• Partner with infrastructure teams to uphold data quality, integrity, and discoverability across the stack.

• Support internal dashboard development with tools like Streamlit or Dash.

• Contribute to data engineering best practices—version control, code review, documentation, and CI/CD for analytics workflows.

What You Bring to the Table

• Strong Python skills, especially in the context of data transformation and workflow automation.

• Advanced SQL expertise with experience designing and optimizing data models in Snowflake or Postgres.

• Hands-on experience with modern data orchestration tools like DBT and Airflow.

• Track record of building analytics-ready datasets, semantic layers, or curated data marts.

• Comfort working cross-functionally with product, analytics, and engineering teams.

• Familiarity with internal BI and dashboarding frameworks like Streamlit or Dash.

Bonus Points For

• Experience with the AWS data stack (e.g., S3, Lambda, Glue, Redshift).

• Background in a high-growth startup or healthcare-focused environment.

• Exposure to platforms like Hex.tech or similar modern data environments.

Our Tech Stack

• Python

• DBT

• Airflow

• Postgres

• Snowflake

• Streamlit / Dash

• AWS (S3, Lambda, Redshift, Glue)

This is a remote position. Applicants must be based in the United States.

Up for the Challenge?

We look forward to meeting you.

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