Python Data Engineer - Remote

Overview

As a Python Data Engineer, you’ll play a critical role in shaping Solace’s data infrastructure from the ground up, enabling better decision-making and unlocking insights that improve healthcare outcomes for patients.

In Short

• 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 by championing best practices in data modeling, testing, and documentation.
• Continuously improve our data infrastructure, supporting 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 and exposure to AWS data services.
• 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.

Benefits

• Fully remote position.
• Opportunity to work in a mission-driven, fast-paced startup environment.
• Be part of a team that values urgency, precision, and heart.
• Chance to redefine healthcare and make a significant impact.