[Hiring] Data Engineer @Solace

Role Description

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.

What You’ll Do

• Architect Robust Pipelines: Design, build, and optimize scalable data pipelines using Airflow, Python, dbt, and Snowflake. 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. 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. Be 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: Help own the FastAPI data API that drives data-driven decisions within the application, including endpoint design, performance, deployment, monitoring, and reliability for the product teams that depend on it.

Qualifications

• Strong Python Proficiency: Comfortable writing modular, testable, and efficient Python code for data processing and automation.
• Advanced SQL & Snowflake: 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). Understand how to provision and manage the resources your pipelines run on.
• Security & Stewardship: Experienced in handling sensitive medical data, implementing secure access controls (RBAC), and adhering to strict governance standards.
• Startup DNA: A self-starter who is comfortable with ambiguity and takes ownership of problems.
• Communication Skills: Ability to translate complex technical challenges into clear options for non-technical stakeholders.

Bonus Points

• 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.

Our Tech Stack

• 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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