Data Engineer

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 C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based 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 Bloomberg funding announcement here.

At Solace, we are building the data foundation that will power patient outcomes. We are a small but growing team where everyone wears many hats and moves fast. We are looking for a Data Engineer who loves solving hard problems with clean, maintainable code and thrives in this high-growth startup environment.

In this role, you will architect the infrastructure that allows us to scale. You will be a core builder of our data platform, establishing the frameworks, standards, and best practices that will define our engineering culture for years to come. From raw data ingestion to complex modeling, your work will ensure that our data is not just available, but trusted, reliable, and ready for action. You'll also help own the FastAPI data API that puts that data to work inside our application, powering data-driven decisions for our users.

• Architect Robust Pipelines: Design, build, and optimize scalable data pipelines using Airflow, Python, dbt, and Snowflake. You will replace brittle manual processes with resilient, automated workflows.

• Build Infrastructure as Code: Manage and evolve our cloud infrastructure (AWS/GCP) using Terraform, ensuring our platform is reproducible, secure, and scalable.

• Elevate Code Quality: Write clean, production-grade code for complex data processing. You will champion engineering best practices, including code reviews, testing, and CI/CD.

• Optimize Data Models: Collaborate with analysts to design performant SQL transformations and data models in Snowflake (experience with dbt is a huge plus).

• Ensure Data Reliability: Implement observability and monitoring to catch issues before they impact stakeholders. You are the first line of defense for data quality.

• Partner Cross-Functionally: Work closely with Data Analysts and Product Managers to understand their data needs and deliver high-quality data products that empower decision-making.

• Own Our Data API: We run a data API built on FastAPI that drives data-driven decisions within the application. You'll help own it and everything that comes with it, including endpoint design, performance, deployment, monitoring, and reliability for the product teams that depend on it.

• Strong Python Proficiency: You are comfortable writing modular, testable, and efficient Python code for data processing and automation.

• Advanced SQL & Snowflake: You have deep expertise in SQL and cloud data warehousing (Snowflake preferred), understanding how to optimize queries for performance and cost.

• Orchestration Mastery: Proven experience building and maintaining complex workflows using Airflow (or similar tools).

• Infrastructure Mindset: Familiarity with Terraform and cloud services (AWS or GCP). You understand how to provision and manage the resources your pipelines run on.

• Security & Stewardship: You understand the gravity of handling sensitive medical data. You are experienced in properly handling PHI and PII, implementing secure access controls (RBAC), and adhering to strict governance standards.

• Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done.

• Communication Skills: You can translate complex technical challenges into clear options for non-technical stakeholders.

• dbt Expertise: Experience using dbt to manage transformations and implement testing/documentation standards.

• Healthcare Background: Experience working with healthcare data standards or strictly regulated environments (HIPAA) a plus.

• Containerization: Experience with Docker and Kubernetes for deploying data applications.

• Backend Development & MLOps: Exposure to building backend services or APIs (e.g., FastAPI, Flask), or to MLOps practices such as model deployment, versioning, and monitoring.

• Compute & Storage: Snowflake, Postgres

• Orchestration: Airflow

• Infrastructure: Terraform, AWS/GCP

• Transformation: dbt, SQL, Python

• Backend: FastAPI data service (owned by our team)

Applicants must be based in the United States.

Up for the Challenge?

We look forward to meeting you.

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