Senior Analytics Engineer

About the role

A Senior Analytics Engineer with experience building data modeling systems within a modern data stack is needed to join our Analytics Engineering team. This role is crucial for delivering exceptional data products that drive key business decisions.

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.
• Solve critical business problems through the application of programming, optimization, automation, and analytical skills.

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.).

Qualifications

• Passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and love data.

Skills

• Strong understanding of data architecture and modern data stack.
• Experience with data modeling and ETL/ELT processes.
• Proficiency in SQL and Snowflake.
• Knowledge of modern BI tools such as Looker.
• Experience with dbt and pipeline development.
• Excellent problem-solving and analytical skills.
• Ability to work independently and collaboratively.

Benefits

• 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.
• 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.

Pay

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

Schedule

We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area.