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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and optimizing scalable data pipelines using Python, Airflow, and Snowflake, while ensuring data reliability and quality through observability practices. Proficient in managing cloud infrastructure with Terraform and collaborating with cross-functional teams to deliver high-quality data products.
Highest-signal resume keywords
Python ProficiencyAdvanced SQL ExpertiseAirflow Workflow ManagementTerraform and Cloud Services FamiliarityHealthcare Data Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLAirflowSnowflakeTerraformDbtDockerKubernetesFastAPIMLOps
Soft Skills
OwnershipCollaborationCommunicationProblem-SolvingAdaptability
Tools & Technologies
AWSGCPCI/CDData PipelineData API
Industry Keywords
PHIPIIRBACHIPAAData Governance
Tech Stack
Tools & technologiesAirflowAWSCloudDockerGoogle Cloud PlatformKubernetesPythonSQLTerraform
About the role
Key responsibilities & impact- Architect, build, and optimize scalable data pipelines using Airflow, Python, dbt, and Snowflake
- Replace brittle manual processes with resilient, automated workflows
- Manage and evolve AWS/GCP cloud infrastructure using Terraform
- Write production-grade code for complex data processing
- Champion code reviews, testing, and CI/CD practices
- Collaborate with analysts on performant SQL transformations and Snowflake data models
- Implement observability and monitoring for data reliability and quality
- Partner with Data Analysts and Product Managers to deliver high-quality data products
- Help own the FastAPI data API, including endpoint design, performance, deployment, monitoring, and reliability
- Establish frameworks, standards, and best practices for the data platform
Requirements
What you’ll need- Applicants must be based in the United States
- Strong Python proficiency for modular, testable, and efficient data processing and automation
- Advanced SQL and cloud data warehousing expertise; Snowflake preferred
- Proven experience building and maintaining complex workflows using Airflow or similar tools
- Familiarity with Terraform and AWS or GCP cloud services
- Experience handling PHI and PII, implementing RBAC, and adhering to strict governance standards
- Comfortable with ambiguity and taking ownership in a high-growth startup
- Ability to translate complex technical challenges into clear options for non-technical stakeholders
- dbt expertise, healthcare data/HIPAA experience, Docker/Kubernetes, backend/API development, or MLOps exposure are bonus qualifications
- Must be authorized to work in the United States; visa sponsorship requirement is addressed in the application
Benefits
Comp & perks- Equity
- Remote work
