Python Data Engineer

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not specified

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 at Solace, you will play a critical role in shaping the company's data infrastructure from the ground up. You will design, build, and optimize robust data pipelines that power advanced analytics, machine learning, and business intelligence across the company. 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, takes pride in your craft, thinks deeply about data architecture, and thrives in a fast-paced startup environment where you can make a big impact.

About Solace

Healthcare in the U.S. is fundamentally broken, with a complex system that leaves many adults without the necessary health literacy to navigate it. Solace addresses this by pairing patients with expert advocates and providing tools for better decision-making and outcomes.

Solace is a Series B startup, founded in 2022 and backed by prominent investors including Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, and Signalfire. The company operates with a lean, mission-driven, and rapidly growing fully remote U.S. team. Solace is a place for individuals seeking to challenge themselves, sharpen their skills, and contribute to redefining healthcare with urgency, precision, and heart.

Responsibilities

• 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 a culture of excellence by championing best practices in data modeling, testing, and documentation.
• Continuously improve data infrastructure to support high-quality decision-making across the business.

Requirements

• 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.

Tech Stack

• Python
• DBT
• Airflow
• Postgres
• Snowflake
• Streamlit / Dash
• AWS (S3, Lambda, Redshift, Glue)

Application Instructions

Applicants must be based in the United States.

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.