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Salary: USD 158,000 - 220,000 / annual
BetterUp is seeking a Senior Analytics Engineer to architect, build, and maintain data products within a modern data stack. This role sits at the intersection of data engineering and business intelligence, driving the company's strategy for delivering exceptional data products that enable data-driven decision-making across the organization.
Key Responsibilities:
- Architect, build, and maintain efficient data products including dbt models, ELT pipelines, Looker explores, and visualizations that enable data-driven decision-making
- Build and maintain ELT pipelines from source systems to data warehouses
- Influence strategy and drive execution of the analytical roadmap, delivering self-service business intelligence at scale
- Provide leadership and mentorship to other engineers, fostering collaboration, knowledge sharing, and high quality standards
- Improve end-user trust and confidence by driving best practices around data discoverability, observability, lineage, and stewardship
- Contribute to a robust data security strategy protecting sensitive information
- Solve critical business problems through programming, optimization, automation, and analytical skills
- Identify and implement high-leverage AI opportunities in data product development and establish governance frameworks for responsible AI usage at scale
The role emphasizes AI fluency as a complement to technical craft. You'll architect domain-level AI reinvention, build scalable AI-powered systems (intelligent pipeline monitoring, automated data quality checks, AI-assisted development), and help define best practices for AI-augmented analytical work.
BetterUp operates as a hybrid company with expectations to work from one of four US office hubs (Austin, NYC, San Francisco, or DC metro) at least two days per week or eight days per month. The company provides each employee with a personal BetterUp Coach, a development plan, and a trained manager, emphasizing human transformation and fulfilling work.
Requirements:
- 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 database
- Expertise with data modeling and ETL/ELT (dbt preferred, pipeline development a plus)
- 5+ years as a seasoned developer within a modern business intelligence tool (Looker preferred)
- Experience applying software engineering principles (testing, version control, code reviews, CI/CD) to scale analytical development
- Proven track record working with data teams in fast-paced, startup environments
- Proven success working cross-functionally with technical and non-technical stakeholders
- Solutions-driven mindset; thrives with ambiguous, open-ended problems
- Proven success driving projects through implementation to completion, including stakeholder education and onboarding
- Obsessed with data protection and privacy (PII, GDPR, FedRAMP, FIPS)
- Hands-on experience using AI tools in development workflow (Claude Code, Cursor, AI-assisted dbt and SQL development)
