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Senior Data Platform Engineer, Health Plan Data
Helm Health. Design and build automated data pipelines and ETL/ELT processes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building automated data pipelines and ETL/ELT processes, with strong proficiency in Python and SQL, particularly in PostgreSQL and BigQuery. Capable of optimizing data storage and query performance while ensuring compliance with HIPAA and data governance practices.
Highest-signal resume keywords
Automated Data Pipeline DesignPython ProficiencySQL SkillsData Quality FrameworksGoogle Cloud Platform
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLPostgreSQLBigQueryData Pipeline DesignData Quality FrameworksDockerKubernetesTerraformGo
Tools & Technologies
Google Cloud PlatformDockerKubernetesTerraformDbt
Industry Keywords
HIPAA ComplianceHealth InsuranceClaims ProcessingIncident ManagementStart-Up Experience
Tech Stack
Tools & technologiesBigQueryCloudDockerETLGoogle Cloud PlatformKubernetesPostgresPythonSQLTerraformGo
About the role
Key responsibilities & impact- Design and build automated data pipelines and ETL/ELT processes
- Improve data quality, validation, and monitoring across production systems
- Build internal tooling that accelerates engineering workflows and reduces manual data operations
- Optimize storage, query performance, and data modeling across PostgreSQL and BigQuery
- Collaborate with engineering teams across the organization to understand data needs and build scalable solutions
- Participate in code reviews and architecture discussions
- Contribute to the on-call rotation for data systems
- Support data governance and access control practices to ensure compliance with HIPAA and other regulatory requirements
- Maintain documentation for data pipelines, schemas, and system dependencies
Requirements
What you’ll need- 5+ years in backend or data engineering
- Strong Python proficiency
- Strong SQL skills, particularly in PostgreSQL and BigQuery
- Experience designing and maintaining automated data pipelines
- Experience with data quality frameworks, validation, and monitoring
- Docker/Kubernetes
- Google Cloud Platform
- Experience with dbt (data build tool) or similar SQL-based transformation frameworks
- Go proficiency
- Experience with additional data stores at scale (CouchDB, CockroachDB, or similar)
- Health insurance or claims processing experience
- Terraform/Terraform Cloud
- Incident management and response experience
- Start-up experience
Benefits
Comp & perks- Base salary + bonus + equity
- Unlimited PTO (mandatory 12 days)
- Computer + home office stipend
- 401(k) + matching
- Medical, dental, and vision insurance
- Autonomy and tons of room for career growth
- Quarterly company meetings