Senior Back-End Engineer II: Data

Helm HealthUSA,
$150,000 - $225,000Remote

About The Position

Helm is a Series A start-up transforming health insurance with "Dynamic Copay" – a new insurance plan that lets members see simple, upfront prices for all medical care before making decisions. Our team is building the infrastructure to power these plans for health insurance payors. With Helm, our clients offer simpler health plans to their members, helping them navigate to higher-value care. Our team has specialized in Dynamic Copay solutions since 2020, and Helm is the only independent platform in the market. We have grown rapidly since our launch, working with clients from local health plans to the nation's largest health insurers. The market is forming around us, making it an exciting time to join! We're seeking a Senior Backend Engineer to join our Data team. You'll work alongside our Principal Data Engineer to build and improve the automated systems that power our data infrastructure — pipelines, data quality, integrations, and internal tooling that make the rest of the engineering org more effective.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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
  • Work across PostgreSQL and BigQuery to optimize storage, query performance, and data modeling
  • Collaborate with engineering teams across the org 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 across data systems
  • Maintain clear documentation for data pipelines, schemas, and system dependencies to support team knowledge sharing and operational continuity
  • Experience with dbt (data build tool) or similar SQL-based transformation frameworks

Benefits

  • 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
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