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Helm Health

Senior Data Platform Engineer, Health Plan Data

Helm Health

. Design and build automated data pipelines and ETL/ELT processes .

Posted 11/10/2026full-timeRemote • United StatesSenior💰 $180,000 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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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

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLPostgreSQLBigQueryData Pipeline DesignData Quality FrameworksDockerKubernetesTerraformGo
Tools & Technologies
Google Cloud PlatformDockerKubernetesTerraformDbt
Industry Keywords
HIPAA ComplianceHealth InsuranceClaims ProcessingIncident ManagementStart-Up Experience

Tech Stack

Tools & technologies
BigQueryCloudDockerETLGoogle 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