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ashby

Senior Analytics Engineer

BetterUp
Austin, USA
Full-time
Senior · 5+ years experience
Remote
USD 158000-198000 / year
Discovered Yesterday

Full Job Posting

Benefits:

  • At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
  • 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
  • Per year:
  • 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
  • We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.
  • BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
  • At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.
  • The base salary range for this role is as follows:
  • $175,000 – $220,000: New York City and San Francisco
  • $158,000 – $198,000: All other locations
  • We value your privacy. Your personal data will be processed in accordance with our Privacy Policy. If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to [email protected]

Responsibilities

  • 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.
  • 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.)
  • Hands-on experience using AI tools in your development workflow (e.g., Claude Code, Cursor, AI-assisted dbt and SQL development)
  • AI at BetterUp
  • Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact.
  • Architect domain-level AI reinvention: identify the highest-leverage AI opportunities in how we build and scale our data products, secure the resources to test them, and install repeatable mechanisms that lock in proven gains across several teams
  • Build scalable AI-powered systems, such as intelligent pipeline monitoring, automated data quality checks, and AI-assisted development, that change how analytical work gets done across multiple teams
  • Establish governance frameworks and best practices for responsible AI usage at scale within the analytics function
  • We encourage all candidates to share examples of how they’ve used AI tools in their work—whether it’s AI-assisted SQL generation, LLM-powered data documentation, automated anomaly detection, or other applications. We view AI fluency as a complement to craft, not a replacement for it.

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