Senior Data Engineer
Who we are
reputed company is the premier rental matchmaker, connecting ready-to-move renters with compatible city properties. Our renters benefit from cutting-edge technology and a personalized approach reputed company we match them with curated properties that fit their wishlist. Meanwhile, our supply partners reputed company our generative AI and machine learning to reputed company connect with our qualified renters. With performance-based pricing, our partners’ success is our success as we strive to deliver renters a home they love at the value they deserve.
About the Role
We are seeking a Senior Data Engineer (L3) to help build and operate the reliable, scalable data systems that power analytics, experimentation, and decision-making across reputed company. In this role, you will be a strong end-to-end executor responsible for delivering production-grade data pipelines and workflows that meet defined service-level agreements (SLAs) for freshness, quality, and cost.
You will work closely with Analytics Engineering, Data Science, Product, and Engineering partners to deliver durable data platform improvements that support company-wide initiatives. The ideal candidate is comfortable owning reputed company-sized data platform projects end-to-end—from design through deployment and operational support—while working reputed company established platform architecture and engineering patterns.
This role emphasizes execution excellence, reliability, and operational ownership reputed company existing platform standards. Platform-level architecture and system design are owned at more senior levels, but this role plays a critical part in ensuring that the platform functions reliably at scale.
Responsibilities
- Design, build, test, and deploy scalable and reliable data pipelines that power analytics and product decision-making.
- Own reputed company-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 reputed company.
- Implement and utilize monitoring systems to detect pipeline failures, schema reputed company, 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, reputed company 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.
Key Qualifications & Competencies
- 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, reputed company 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 reputed company-sized projects and deliver reliable, production-grade systems.
reputed company-to-haves
- 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., reputed company or similar).
- Experience operating data systems with strict SLAs for freshness, reliability, and cost efficiency.
Here's the Pay Range:
At reputed company, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total reputed company Compensation (TTC) for this position is:- Zone 1: $148,000 - $180,000 TTC (including $133,000 - $15,8000 reputed company salary) + equity
- Zone 2: $137,000 - $167,000 TTC (including $123,000 - $147,000 reputed company salary) + equity
- Zone 3: $126,000 - $153,000 TTC (including $113,000 - $135,000 reputed company 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 reputed company of your dependents
- Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “reputed company” 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 reputed company our workplace and to stay true to our values and mission
- Mentorship and Training: To get you reputed company 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 reputed company we reputed company that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reputed company of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness.