Python Data 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

As a Python Data Engineer, you’ll play a critical role in shaping Solace’s data infrastructure from the ground up. You’ll design, build, and optimize robust data pipelines that power advanced analytics, machine learning, and business intelligence across the company. From raw data ingestion to elegant dashboards, your work will enable better decision-making and unlock insights that improve healthcare outcomes for patients.

You are a hands-on engineer who loves solving hard problems with clean code. You take pride in your craft, think deeply about data architecture, and thrive in a fast-paced startup environment where you can make a big impact. Whether it’s designing a complex SQL transformation, optimizing a data model, or collaborating with cross-functional partners, you’re always focused on building trusted, high-quality data products that scale.

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.

• Design, build, and optimize reliable data pipelines using modern tools like DBT, Airflow, and others.

• Write clean, production-grade Python code to transform, process, and integrate data from diverse sources.

• Develop complex SQL transformations and workflows in Postgres, Snowflake, or similar environments.

• Collaborate closely with data scientists, analysts, and product teams to deliver trusted, accessible data products.

• Build and maintain internal dashboards and lightweight UI tools (e.g., Streamlit, Dash) for stakeholders.

• Contribute to the culture of excellence at Solace by championing best practices in data modeling, testing, and documentation.

• Continuously improve our data infrastructure, supporting high-quality decision-making across the business.

• Strong proficiency in Python for data engineering and ETL workflows.

• Advanced SQL skills, ideally with experience in Postgres and/or Snowflake.

• Proven experience building data pipelines with tools like DBT, Airflow, or similar.

• Experience developing data dashboards or lightweight internal apps (e.g., Streamlit, Dash).

• Bonus points for:

  • Hands-on experience with Snowflake.

  • Exposure to AWS data services (S3, Lambda, Redshift, Glue, etc.).

  • Collaborating with Data Scientists on analytics or ML projects.

  • Experience working in a fast-paced startup environment.

  • Familiarity with tools like Hex.tech or comparable platforms.

• 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.

Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ashbyhq.com. Report suspicious activity to hiring@solace.health.