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Wellthy

Analytics Engineer

Wellthy

. Build and maintain data transformations using dbt for analytics, and help empower end users to do self-service reporting and data exploration .

Posted 11/5/2026full-timeRemote • United StatesJuniorMid-Level💰 $125,000 - $152,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in analytics engineering, focusing on data transformations using dbt, SQL proficiency, and cloud data warehouse experience. Strong collaboration skills with the ability to communicate effectively with stakeholders and ensure data quality and governance.

Highest-signal resume keywords
Analytics Engineering ExperienceSQL ProficiencyData Transformations with dbtCloud Data Warehouse ExperienceCollaboration with Stakeholders

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData TransformationsAnalytics ModelingDimensional ModelingCommand Line UsageVersion Control (Git)AI Tools for Code QAData Quality AssuranceData GovernanceData Integrity Testing
Soft Skills
Strong CommunicatorProblem SolverLife-Long LearnerCuriosity
Tools & Technologies
DbtFivetranSnowflakeBigQueryRedshiftHightouchSnowplowDeepNoteMetaplaneOmni
Industry Keywords
Data AnalyticsData EngineeringELT ProcessData QualityData AccessibilityData Governance

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudSnowflakeSQL

About the role

Key responsibilities & impact
  • Build and maintain data transformations using dbt for analytics, and help empower end users to do self-service reporting and data exploration
  • Apply software engineering best practices to write efficient, well-tested code and contribute to improving 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 the needs of the organization
  • Follow and contribute to data team best practices, workflows, and documentation as we build a sustainable and scalable data function
  • Troubleshoot data issues and clearly communicate findings and processes to internal stakeholders, escalating complex problems when needed
  • Work closely with senior team members on complex modeling and architecture decisions, with opportunities to take on greater scope over time
  • Use a modern data stack of Fivetran, Snowflake, dbt, Hightouch, Snowplow, DeepNote, Metaplane, and Omni
  • Collaborate with Marketing, Product, Client Success, and Care Team
  • Report directly to the VP Data, Product, and Engineering Operations

Requirements

What you’ll need
  • 2–5 years of experience in analytics engineering or a closely related role
  • Experience with analytics modeling (e.g. dimensional modeling, staging/intermediate/mart layers)
  • Strong SQL skills
  • Hands-on experience building and maintaining data transformations with dbt or similar tools
  • Comfortable using the command line and version control (git)
  • Experience querying a cloud data warehouse (e.g. Snowflake, BigQuery, or Redshift)
  • Experience using AI tools (e.g. Claude, Cursor, GitHub Copilot) to write, explain, and QA code, along with the judgment to review, test, and validate AI-generated output before it goes into production
  • Strong communicator, life-long learner, problem solver, and always curious
  • To work from home, you must have a strong internet connection, quiet space to take calls and a professional (distraction free) environment.

Benefits

Comp & perks
  • Stock Options
  • Remote work environment.
  • Medical, dental and vision benefits within 30 days of hire.
  • Retirement saving account with matching company contributions.
  • Mental health benefits.
  • 15 days paid vacation, two additional days for each subsequent years (up to a maximum of 25 days)
  • Sick and Caregiving Days
  • Professional development initiatives for growth.
  • Generous parental leave (maternal and paternal) during a new child’s first year (born into family or adopted) and pregnancy loss leave.