- Design, build, test, and deploy scalable and reliable data pipelines that power analytics and product decision-making.
- Own medium-sized data platform initiatives end-to-end, from initial design through production deployment and operational support.
- Design, migrate, and maintain data workflows in Apache Airflow, including supporting migration of legacy ETL systems to modern orchestration patterns.
- Ensure pipeline reliability by proactively monitoring workflow SLAs for freshness, quality, and performance, and resolving failures efficiently.
- Implement and utilize monitoring systems to detect pipeline failures, schema drift, and data quality anomalies.
- Participate in on-call rotations and contribute to incident response and root cause analysis for data incidents.
- Apply best practices in warehouse performance and cost optimization, including partitioning, indexing, and efficient data modeling to control BigQuery spend.
- Build maintainable, modular data models and pipelines using reusable patterns and shared components across the team.
- Partner closely with Analytics Engineering, Data Science, and business stakeholders to deliver durable improvements across the ingestion, transformation, modeling, and serving layers of the data platform.
- Contribute to operational excellence through documentation, monitoring improvements, and participation in postmortems and reliability initiatives.
- 5+ years of experience in data engineering, with a track record of delivering reliable production data pipelines and systems.
- Strong experience designing and maintaining orchestration workflows using Apache Airflow.
- Experience building scalable data pipelines using modern cloud data platforms such as BigQuery and tools such as DBT.
- Strong understanding of data modeling, schema design, and building maintainable, modular data systems.
- Experience implementing CI/CD best practices for data pipelines, including automated testing, validation, and deployment workflows to ensure reliable and repeatable production releases.
- Experience monitoring and operating production data systems, including pipeline observability, data quality checks, and incident response.
- Ability to identify performance and cost risks in large-scale data systems and implement optimizations.
- Strong collaboration skills and experience working with cross-functional partners including analytics engineers, data scientists, and product teams.
- Proven ability to independently execute medium-sized projects and deliver reliable, production-grade systems.
- Familiarity with Kubernetes-based data infrastructure, including deploying and operating containerized data services and workflows in a production environment.
- Experience migrating legacy ETL systems to modern orchestration frameworks.
- Familiarity with observability and monitoring tools for data pipelines (e.g., Datadog or similar).
- Experience operating data systems with strict SLAs for freshness, reliability, and cost efficiency.
- Zone 1: $148,000 - $180,000 TTC (including $133,000 - $158000 base salary) + equity
- Zone 2: $137,000 - $167,000 TTC (including $123,000 - $147,000 base salary) + equity
- Zone 3: $126,000 - $153,000 TTC (including $113,000 - $135,000 base salary) + equity
- 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.
Top Skills
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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