Data Engineer

Solace is a Series C startup focused on redefining healthcare by providing expert advocacy and tools for better patient outcomes. They are seeking a Data Engineer to architect and build scalable data infrastructure and pipelines, ensuring data reliability and quality for decision-making.

Responsibilities:

• 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

Requirements:

• 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