Gem.com

Lead Analytics Engineer

Gem.com$165K — $200K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in analytics engineering or a closely related data role
  • Expert SQL skills formatted for readability and performance
  • Advanced dbt knowledge with team practices around testing and documentation
  • Proven track record of impactful data architecture decisions
  • Experience enabling others through mentorship and process improvement
  • Ability to articulate data architecture tradeoffs to technical and business audiences
  • Deep ELT/ETL knowledge with focus on observability and failure recovery
  • CI/CD familiarity in a data context, including automated testing and deployment validation
  • Bonus: Ownership of BI tools and cross-team data model standards
  • Bonus: 2+ years experience with performance marketing and frontend eventing data

Responsibilities

  • Design and deliver end-to-end data solutions, emphasizing architecture and maintainability
  • Research and implement best practices to evolve data architecture standards
  • Identify and act on high-value tech health and business opportunities
  • Engage in business measurement discussions to communicate metric values and limitations
  • Mentor analytics engineers and analysts, providing feedback and advancing skills
  • Contribute to strategic roadmap and goal-setting as a key decision-maker
  • Communicate effectively with various stakeholders, anticipating potential issues

Benefits

  • Competitive compensation including stock options
  • Comprehensive medical, dental, and vision coverage for employees and dependents
  • Unlimited flexible time off, plus additional holidays and recharge days
  • Reimbursement for home office setup and monthly internet or phone expenses
  • Health and wellness reimbursement for gym memberships
  • Generous parental leave, fertility benefits, and family support
  • 401k plan to assist with retirement savings
  • Engaging team events and company meetups
  • Strong commitment to diversity, equity, and inclusion
  • Continuous mentorship and training opportunities
  • High visibility in strategic projects that drive business transformation
  • Support for adopting new technologies and driving impactful decisions
Full Job Description
About the Role

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


About Gem.com

Industry
Founded
2013

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