Senior Analytics Engineer
Salary
$87,000 - $161,300
Location
Remote — Applicants for this job have the flexibility to work remote from home anywhere in the Continental United States
Posted
Yesterday
This role is responsible for designing, building, and scaling a modern analytics engineering framework that enables efficient ingestion, transformation, and delivery of data to support advanced analytics and strategic decision-making. The position plays a key role in developing automated, production-ready data pipelines and analytics assets, while partnering with cross-functional stakeholders to drive measurable business impact and establish scalable, team-based data practices.
- Design, build, and own scalable data pipelines that ingest external and internal data into Snowflake, including automation of file-based ingestion processes.
- Architect, develop, and maintain dbt transformation workflows to produce curated, production-ready data models and tables.
- Establish and enforce best practices for data modeling, performance optimization, data quality, and pipeline reliability across the platform.
- Develop and maintain Python- and SQL-based processes for data ingestion, validation, transformation, and monitoring.
- Lead the implementation and management of GitLab for version control, code collaboration, and CI/CD processes across the analytics team.
- Define and operationalize team standards for source control, code reviews, deployment workflows, and documentation.
- Build, optimize, and own Power BI datasets, semantic models, and reporting layers to support scalable analytics and decision-making.
- Partner with clinical, operational, and business stakeholders to translate data needs into technical solutions and communicate insights effectively.
- Mentor and train team members on data engineering workflows, Snowflake, dbt, GitLab, and Power BI to enable shared ownership and reduce single points of failure.
- Continuously improve platform architecture, tooling, and processes to support a scalable, maintainable, and modern analytics ecosystem.
- Support expansion of Snowflake capabilities (e.g., application layers or integrations) to enable advanced analytics and operational use cases.
- Contribute to advanced analytical initiatives, including identifying cost-savings opportunities and generating insights from complex healthcare datasets.
Education/experience
Required:
- A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
- Requires 4 – 6 years of related experience
Preferred:
- 3+ years of experience with SQL and Python
- Experience working with modern data platforms and tools specifically with Snowflake, dbt, GitLab, Power BI
- Experience designing and maintaining scalable data pipelines and data modelsFamiliarity with medallion architecture
- Experience working with healthcare data (e.g., claims, provider, pharmacy datasets)
License/Certification (nice to have):
- Snowflake Certifications (Core, Specialty [e.g., Snowpark], or Advanced [e.g., Data Engineer, Data Analyst])
- GitLab Certifications (e.g., Fundamentals, CI/CD Associate)
- Microsoft Certified: Power BI Data Analyst Associate
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