Lead Analytics Engineer

Posted 2 Days Ago
Hiring Remotely in United States
Remote
127K-200K Annually
Senior level
Artificial Intelligence • Consumer Web • Information Technology • Real Estate • Software • PropTech
Everyone deserves a home they love. We help make the search simple.
The Role
Lead Analytics Engineer responsible for end-to-end data solution design, evolving data architecture, mentoring engineers, driving data health and observability, enabling cross-functional measurement, and contributing to roadmap and decision-making.
Summary Generated by Built In
Who We Are

At Apartment List, we’re transforming how people rent—making it smarter, easier, and a lot less frustrating. Our platform has already matched over 1.4 million renters with their next home, while helping properties fill units with the right residents. Backed by strong growth and a big vision, we’re building the future of renting—and inviting bold thinkers to help us shape it!
About the Role
Apartment List runs on data, and the Analytics Engineering team builds the internal data products that power decisions across Product, Marketing, Operations, Finance, and beyond. We hold ourselves to high standards through rigorous process, governance, and technical execution, and we form genuine partnerships with the teams we serve.

This role is equal parts strategic thinking and hands-on execution. As a Lead Analytics Engineer, you'll be a technical anchor for the team: shaping architecture decisions, mentoring engineers, and driving initiatives that improve both the health of our data systems and the business outcomes they enable. You'll operate at company scope, influencing cross-functional roadmaps and setting the bar for what great analytics engineering looks like at Apartment List.

Responsibilities
  • Design data solutions end-to-end: evaluate architecture options, articulate tradeoffs, and deliver production-ready, testable, maintainable code.
  • Influence and evolve the team's data architecture standards by researching, testing, and implementing modeling and tooling best practices, and analyzing the technical risks and long-term implications of key decisions
  • Proactively find and execute on high-value tech health and business opportunities before they're on anyone's roadmap
  • Actively participate in business measurement discussions, communicating both the value and structural limitations of proposed metrics
  • Mentor AEs and analysts with targeted feedback and specific growth expectations; enable the broader team through documentation, process development, and knowledge sharing
  • Contribute to roadmap and goal-setting as a decision-maker
  • Communicate clearly with technical and non-technical audiences, anticipating blockers and scope changes before they require escalation

Qualifications
  • 7+ years in analytics engineering or a closely related data role, with a track record of end-to-end technical ownership across architecture, delivery, and long-term maintenance.
  • Expert SQL: performant at scale, structured for readability, and built to handle edge cases.
  • Advanced dbt, including building team practices around testing, documentation, and modularity
  • Proven data architecture decisions with lasting structural impact
  • Enabled others through mentorship, code review, process, or tooling
  • Easily explain data architecture tradeoffs to both engineers and business stakeholders in the same conversation
  • Deep ELT/ETL knowledge with strong instincts for observability and failure recovery
  • CI/CD in a data context, including automated testing pipelines and deployment validation
  • Bonus: Ownership of BI tools as a product, including semantic layer health and cross-team data model standards
  • Bonus: 2+ years working with performance marketing and frontend eventing data

Compensation
We carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is:

  • Tier 1: $165,000 to $200,000 (Base: $148,500 to $176,000)
  • Tier 2: $153,000 to $185,000 (Base: $137,700 to $162,800)
  • Tier 3: $141,000 to $170,000 (Base: $126,900 to $149,600)


Here's what's in it for you (full-time US based employees only; does not apply to contract roles): 

  • Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable)
  • Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents
  • Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break
  • Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable)
  • Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
  • Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services
  • 401k Plan: To support you in your individual retirement goals
  • Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups
  • Commitment to DEI: To prioritize Diversity, Equity, and Inclusion within our workplace and to stay true to our values and mission
  • Mentorship and Training: To get you onboard quickly, learn new professional skills, and invest in your career development
  • Impact and Visibility: To expose you to and provide the opportunity to work on highly strategic initiatives that will transform the business
  • Encouragement and Empowerment: To explore and adopt new technologies and drive meaningful decisions and outcomes
  • At Apartment List we believe that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reflection of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness. 

As a proud equal opportunity employer, we celebrate the collection of individual differences, life experiences, ideas, perspectives, knowledge, and talent. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. #LIRemote

Skills Required

  • 7+ years in analytics engineering or closely related data role with end-to-end technical ownership
  • Expert SQL, performant at scale and handling edge cases
  • Advanced dbt, including testing, documentation, and modularity practices
  • Proven data architecture decisions with lasting structural impact
  • Experience enabling others via mentorship, code review, process, or tooling
  • Ability to explain data architecture tradeoffs to technical and business stakeholders
  • Deep ELT/ETL knowledge with instincts for observability and failure recovery
  • CI/CD in a data context, including automated testing pipelines and deployment validation
  • Ownership of BI tools as a product, semantic layer health and cross-team data model standards
  • 2+ years working with performance marketing and frontend eventing data
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The Company
HQ: San Francisco, CA
240 Employees
Year Founded: 2011

What We Do

For us, renting is personal — we’re a company built by renters for renters. We’re here to deliver renters a home they love at the value they deserve. Whether renters are embarking to a new city, in search of a quieter neighborhood, or making the jump to a two-bedroom apartment — we’re here to find them their perfect apartment match. We’ve made it our mission to revolutionize renting by making it a stress-free, simple, and holistic experience, connecting ready-to-move renters with compatible city living. Home is a feeling everyone should own, and we’re on a mission to help renters find it.

Why Work With Us

Want a job that makes a difference? There are over 100 million renters in the US, and at Apartment List, we strive every day to remove the hassle from renting and make the process better for every single one of them. Together, we can change the narrative around what it means to be a renter.

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