As a Senior Back-End Engineer II, you'll design and build automated data pipelines, improve data quality, and support internal tooling while collaborating with engineering teams.
About Helm Health
Role Overview
Responsibilies
Requirements
Preferred Qualifications
Characteristics
Internal Tools/Technology
Compensation
Benefits/Offerings
Occasional Travel
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!
Role Overview
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.
Responsibilies
- 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
- 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
- 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
- Self-directed and comfortable working across systems to find and fix data problems
- Mission-driven — motivated by making healthcare simpler and more transparent
- Willing to ask questions and admit what you don't know
- Systems thinker — you see how data flows through an organization and instinctively look for ways to make it better
- Cursor / Linear / GitHub / Notion / Whimsical
- Slack / Google Workspace / Zoom
- incident.io / Sentry
- Claude, ChatGPT, Gemini — we are an AI-forward engineering team
- macOS / Linux
The target base salary range for this position is $150,000 - $225,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by several factors, including experience, skills, location, internal pay equity, and other relevant business considerations.
- 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
We meet quarterly as a company.
Please note that this is a fully remote opportunity.
Top Skills
BigQuery
Dbt
Docker
Google Cloud Platform
Kubernetes
Postgres
Python
SQL
Terraform
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
As a Software Development Engineer, you will develop with Golang, focusing on high-quality code delivery, documentation, and testing within the detection engine team.
Top Skills:
AWSGoIcebergParquetTerraform
Cloud • Information Technology • Security • Software • Cybersecurity
The Senior GTM Sales Recruiter manages full-cycle recruiting for Sales positions, builds candidate pipelines, collaborates with Sales leaders, and ensures efficient hiring processes.
Top Skills:
GemLinkedin RecruiterSeekout
Healthtech • Other • Social Impact • Software • Telehealth
As a Sr. Payment Posting Associate, you will manage payment posting, reconciliation, and credit management, investigate discrepancies, and collaborate to improve processes.
Top Skills:
AmdEhrsGoogle SuiteMS OfficePayer PortalsSalesforceZendesk
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
