Senior Analytics Engineer

BetterUp•Austin, TX

22d•$158,000 - $242,000•Hybrid

About The Position

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. We are looking for a Senior Analytics Engineer with experience building data modeling systems within a modern data stack, supported by intelligent data warehousing and adaptable business intelligence systems, to join our team. At BetterUp we believe data is critical to our success and this role on the Analytics Engineering team will be crucial to this strategy of delivering exceptional data products that will drive key business decisions. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and love data then this is the role for you.

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 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.)

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.