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We’re looking for a skilled Data Engineer to take ownership of our data infrastructure, helping us build scalable and reliable data products that power decision-making across the organization. This role is critical in shaping how we collect, process, and expose data to internal teams and external customers. You’ll have end-to-end responsibility for our data warehouse and pipelines, and will work closely with engineering, product, clinical, and commercial teams to deliver impactful insights and capabilities.
Key Responsibilities
* Own and evolve our data warehouse, ensuring it remains scalable, secure, and fit for purpose
* Design, build, and maintain robust ETL/ELT pipelines using Apache Airflow
* Develop and manage BigQuery schemas, tables, and views for optimized analytics and reporting
* Write performant and maintainable SQL and Python code to support data transformations
* Collaborate with cross-functional teams to understand data requirements and deliver high-quality data products
* Implement data quality checks, lineage tracking, and observability across pipelines
* Contribute to defining and evolving data modeling best practices (e.g., star/snowflake schemas)
* Support internal self-serve analytics and external data integrations as needed
Qualifications
* Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
* Master’s degree preferred but not required
* 5+ years of experience in data engineering or a similar role
* Strong hands-on experience with Apache Airflow, BigQuery, SQL, and Python
* Solid understanding of modern data warehousing, data modeling, and pipeline orchestration
* Familiarity with cloud platforms (preferably GCP) and version control (e.g., Git)
* Experience working in healthcare environments and handling PHI in compliance with HIPAA regulations
* Proven ability to work independently, own end-to-end systems, and collaborate with stakeholders
* Attention to detail, with a mindset for automation, maintainability, and performance
* Nice to have: Experience with dbt, Metabase, event-driven architectures, Kubernetes, Terraform, API design, or GraphQL
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Medical Equipment Manufacturing
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