Senior Analytics Engineer

United States (US)

Maximus

At the federal, state, and local level, we transform public policy into programs that change lives.

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Company is based in Santa Monica, CA

Position is Remote (US/Canada)

Maximus (https://www.maximustribe.com/) is a mission-driven consumer health company that provides men with content, community, and clinical support to optimize them in mind and body. Maximus has raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, & Shopify.

Maximus is looking for a Senior Analytics Engineer to build out our core data models and scale our data infrastructure. This person will be responsible for owning dbt, the Looker backend, and Airbyte ETL.

Please note: Culture is key at Maximus, so we get to know candidates holistically through our questionnaire. You will receive an invite in a separate email upon submitting an application. Please fill it out as honestly and intuitively as possible since it is designed to detect exaggeration, which will cause your application to be automatically rejected. The questionnaire is optional to submit now with your application, but candidates that do so will get strongly prioritized. Note, we do not have access to individual questions’ answers/choices.

Responsibilities:

  • Design, build, and maintain scalable and robust data pipelines to ingest, process, and store large volumes of data from various sources.

  • Develop and maintain dbt data models

  • Collaborate with data analysts and business stakeholders to understand their data requirements and deliver actionable insights.

  • Implement data quality and validation processes to ensure data accuracy and reliability.

  • Optimize and improve existing data pipelines for performance and scalability.

  • Create and maintain comprehensive documentation for data pipelines, data models, and analytics solutions.

  • Assist in the development and maintenance of our data warehouse and data lake infrastructure.

Qualifications: 

  • Minimum 6 years of experience in data analytics, data engineering, or analytics engineering.

  • Strong proficiency in SQL & experience with GCP or similar cloud data warehouses

  • Proficiency in dbt & Git for version control and collaborative development

  • Proficiency in Python programming (nice to have)

  • Experience with AWS or equivalent cloud services

  • Excellent communication skills to present complex findings to both technical and non-technical audiences

  • Track record of delivering data-driven solutions in a professional setting

Qualities:

  • High Conscientiousness: Highly effective, organized, dutiful, self-disciplined, and careful. You are the type of person who used multiple colors of highlighters, and everyone wanted to borrow notes from. You never forget a task, execute it flawlessly, and are as reliable as clockwork.

  • High Horsepower & Humility: High intellectual and physical energy. You eagerly solve big, complex, and ambiguous company problems, while having the humility to “roll your sleeves up” and do the dirty work without complaint.

  • Creative Thinker: Highly creative thinker who tends to find solutions that others don’t see or inappropriately dismiss. Not content to do the safe bet everyone else takes.

  • Relentlessly Resourceful (http://www.paulgraham.com/relres.html): highly proactive, does not quit, and finds innovative solutions with little guidance. Bias for action and ability to thrive in an ambiguous environment with a high degree of autonomy.

  • Passion for Men’s Health & Development: interest in helping men develop a healthy masculinity. Demonstrates personal dedication and interest in health optimization (e.g. diet, exercise, sleep, focus, and relationships).

World-Class Benefits:

  • Premium Blue Shield Platinum PPO & HMO Plans (up to 80% coverage)

  • Full Suite: Medical, Dental, Vision, Life Insurance

  • Best-in-class 401K options

  • Flexible vacation/time-off policies

  • Liquidity of options whenever available

  • Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees)

Maximus is an equal opportunity employer, which not only includes standard protected categories, but the additional freedom from discrimination against your free speech and beliefs, as long as they are aligned with company values. We celebrate intellectual diversity.

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Tags: AWS Data Analytics Data pipelines Data quality Data warehouse dbt Engineering ETL GCP Git Looker Pipelines Python SQL

Perks/benefits: Flex vacation Health care

Regions: Remote/Anywhere North America
Country: United States

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