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Wellthy

Personalized care coordination for families

Analytics Engineer

Data EngineeringUpdated on Nov 7
Full-timeRemote in USA$125k - $152k

About the Job

Requirements

  • Two to five years of experience in analytics engineering or a closely related role.
  • Experience with analytics modeling, such as dimensional modeling and staging, intermediate, and mart layers.
  • Strong SQL skills.
  • Hands-on experience building and maintaining data transformations with dbt or similar tools.
  • Comfort using the command line and version control with Git.
  • Experience querying a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
  • Experience using AI tools such as Claude, Cursor, or GitHub Copilot to write, explain, and quality-assure code, with judgment to review, test, and validate AI-generated output before production.
  • To work from home, applicants must have a strong internet connection, a quiet space for calls, and a professional, distraction-free environment.

Responsibilities

  • Build and maintain data transformations using dbt for analytics, and empower end users to perform self-service reporting and data exploration.
  • Apply software engineering best practices to write efficient, well-tested code and improve the performance and automation of the ELT process and analytic workflows.
  • Collaborate with data analysts, data engineers, and business stakeholders to gather and translate data requirements for downstream analyses and projects.
  • Support company-wide efforts to improve data quality, accessibility, and governance.
  • Ensure data quality and integrity by writing and maintaining tests.
  • Participate in evaluations of analytics tools to help meet organizational needs.
  • Follow and contribute to data team best practices, workflows, and documentation while building a sustainable and scalable data function.
  • Troubleshoot data issues, communicate findings and processes to internal stakeholders, and escalate complex problems when needed.
  • Work with senior team members on complex modeling and architecture decisions, with opportunities to take on greater scope over time.
  • Use the modern data stack of Fivetran, Snowflake, dbt, Hightouch, Snowplow, DeepNote, Metaplane, and Omni.
  • Collaborate with Marketing, Product, Client Success, and the Care Team.

Desired Qualifications

  • Experience writing basic Python scripts for data processing, API calls, or automation.
  • Experience working with user event tracking data to support product analytics, such as Snowplow, Segment, or Rudderstack.
  • Experience building reports in modern business intelligence tools such as Omni, Looker, Tableau, or Thoughtspot.
  • Experience automating data workflows.
  • Familiarity with AWS tools such as S3 and Lambda.
  • Openness to learning, experimenting, and evolving, and curiosity about how emerging technology and AI tools can support workflows or help families more effectively.

About the Company

Wellthy

Personalized care coordination for families

Wellthy delivers personalized care coordination to help families manage complex healthcare, eldercare, and related legal and financial needs. A dedicated care coordinator (often a licensed social worker) creates a tailored care plan and prioritizes next steps, including in-home safety assessments, arranging in-home care, medical coordination, legal documents like powers of attorney, and benefits/insurance guidance. It works with employers to offer these services as an employee benefit or through direct consumer subscriptions, using a subscription-based revenue model. The goal is to reduce stress and complexity for families by providing integrated support across healthcare, legal, and financial domains through a scalable, employer-backed delivery model.

Company size
201-500
Company stage
Late Stage VC
Total funding
$72.2M
Headquarters
New York City, United States
Founded
2014

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