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BetterUp

Senior Analytics Engineer

BetterUp

Senior Analytics Engineer building data modeling systems within modern data stack at BetterUp. Collaborating in a hybrid setting to deliver exceptional data products driving key business decisions.

Posted 6/18/2026full-timeCalifornia, New York, Texas, Virginia • 🇺🇸 United StatesSenior💰 $158,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies
ETLSQL

About the role

Key responsibilities & impact
  • Architect, build and maintain efficient and reliable data products (dbt models, pipelines, Looker explores, visualizations, etc.) that enable data driven decision making.
  • Build and maintain ELT pipelines from source systems to data warehouses.
  • Influence strategy and drive execution of our analytical roadmap delivering self-service business intelligence at scale.
  • Provide leadership and mentorship to other engineers fostering collaboration, knowledge sharing and a high bar for quality.
  • Improve end users trust and confidence by driving best practices with regards to data discoverability, observability, lineage and stewardship.
  • Contribute towards a robust data security strategy protecting sensitive information and content.
  • Solve critical business problems through the application of programming, optimization, automation, and analytical skills.
  • Drive functional strategy for AI adoption, identifying transformational opportunities that create competitive advantage in how we build and scale our data products.
  • Build scalable AI-powered systems that fundamentally change how analytical work gets done across multiple teams.
  • Serve as a trusted advisor to leadership on AI capabilities, limitations, and strategic implications for our data platform.
  • Establish governance frameworks and best practices for responsible AI usage at scale within the analytics function.
  • Transform core data and analytics processes through strategic AI integration—including intelligent pipeline monitoring, automated data quality checks, and AI-assisted insight generation.
  • Quantify AI impact on key data metrics and make data-driven recommendations for continued investment.

Requirements

What you’ll need
  • Minimum 5+ years of relevant experience in data engineering and/or analytics engineering
  • Advanced SQL skills with 5+ years of deep experience with Snowflake or similar DB
  • Expertise with data modeling and ETL/ELT (DBT preferred, pipeline development a plus)
  • Seasoned developer (5+ years) within a modern business intelligence tool (Looker preferred)
  • Experience applying software engineering principles (testing, version control, code reviews, CI/CD, etc.) in your working process, to scale analytical development
  • Proven track record of working with data teams in a fast-paced, startup environment
  • Proven track record of successfully working cross-functionally with both technical and non-technical stakeholders
  • Solutions-driven and thrives when given ambiguous, open-ended problems
  • Proven success driving projects through implementation to completion, including stakeholder education and onboarding
  • Obsessed with data protections and privacy (i.e. PII, GDPR, FedRAMP, FIPS, etc.)

Benefits

Comp & perks
  • Access to BetterUp coaching; one for you and one for a friend or family member
  • A competitive compensation plan with opportunity for advancement
  • Medical, dental, and vision insurance
  • Flexible paid time off
  • All federal/statutory holidays observed
  • 4 BetterUp Inner Workdays (https://www.betterup.co/inner-work)
  • 5 Volunteer Days to give back
  • Learning and Development stipend
  • Company wide Summer & Winter breaks
  • Year-round charitable contribution of your choice on behalf of BetterUp
  • 401(k) self contribution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLSnowflakeDBTdata modelingETLELTLookerdata pipelinesdata quality checksAI integration
Soft Skills
leadershipmentorshipcollaborationproblem-solvingcommunicationstakeholder managementsolutions-drivenadaptabilityproject managementdata-driven decision making