# Data Engineer

**Company:** [Solace](https://hotfix.jobs/companies/solace)
**Location:** Remote
**Role:** Data Engineering
**Skills:** Python, SQL, Snowflake, Airflow, dbt, Terraform, AWS, GCP, Postgres, Kubernetes
**Posted:** 2026-01-02

> Build and scale data pipelines and infrastructure using Python, Airflow, dbt, and Snowflake to power patient outcomes in a high-growth healthcare startup. Requires strong Python/SQL expertise, orchestration mastery, and startup mindset for handling sensitive medical data.

## Job Description

## What You’ll Do

- **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.

## What You Bring to the Table

- **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.

## 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.

## Our Tech Stack

- **Compute & Storage:** Snowflake, Postgres
- **Orchestration:** Airflow
- **Infrastructure:** Terraform, AWS/GCP
- **Transformation:** dbt, SQL, Python

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**Apply:** https://hotfix.jobs/jobs/e0acc075-b138-4977-99f9-72876fdf57b7
**Canonical:** https://hotfix.jobs/jobs/e0acc075-b138-4977-99f9-72876fdf57b7