Analytics Engineer
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Role details
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Job description
- 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., 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., * 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.
During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. 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.
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.)
Benefits & conditions
Be an Early Applicant Remote or Hybrid Hiring Remotely in United States 158K-220K Annually Senior level Remote or Hybrid Hiring Remotely in United States 158K-220K Annually Senior level Design, build, and maintain dbt models, ELT pipelines, Looker explores and visualizations. Drive analytics strategy, data discoverability, observability, lineage, and security. Mentor engineers, collaborate cross-functionally, apply software engineering best practices, and integrate AI to scale data products and self-service BI. The summary above was generated by AI
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., 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
About the company
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:
New York City and San Francisco: $176,000 - $220,000
Austin and Arlington: $158,000 - 198,000
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