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SeniorFull-timePythonRustAWSCI/CDGit
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Engineer (Analytics Engineer) to join our team at Capital Rx. You will build and maintain reliable data models within Snowflake using dbt, and improve data quality and observability. This role involves partnering with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products.
Key Responsibilities
- →Build, test, and document Snowflake data models and business logic in dbt
- →Apply and improve data quality, testing, observability, and lineage standards
- →Collaborate with cross-functional partners to define data contracts and interfaces
- →Contribute to Capital Rx’s modular data platform and client-specific data configurations
- →Participate in design reviews; propose scalable, maintainable patterns
- →Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes
- →Optimize cost and performance of jobs, storage, and queries with guidance
- →Write clear documentation and support knowledge sharing
- →Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance
Requirements
- ✓5+ years in data engineering, software engineering, or related field
- ✓Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling
- ✓Hands-on dbt experience (models, tests, documentation, deployments)
- ✓Experience with orchestration (Dagster or Airflow) and scheduling best practices
- ✓Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred)
- ✓CI/CD for data (Git-based workflows, environments), and basic IaC familiarity
- ✓Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools)
- ✓Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness)
- ✓Effective communication and collaboration with technical and non-technical stakeholders
- ✓Bonus if you have exposure to healthcare data (claims, eligibility, provider directories)
- ✓Performance tuning in Snowflake (warehouse sizing, clustering, caching)
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