Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Data Engineer II role.
Rezi rewrites your resume against Apartment List's job description. Free.
Tailor your resume to this Senior Data Engineer II role.
Rezi rewrites your resume against Apartment List's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Engineer II posting at Apartment List — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Engineer II posting at Apartment List — free, in seconds.
About the Role
As Apartment List's data platform grows, architectural decisions made today determine future technical debt. We are seeking a Senior Data Engineer II (IC4) to own end-to-end pipeline design, platform investment tradeoffs, and critical technical judgment calls for system reliability and scalability. This role involves hands-on work writing pipelines, debugging production issues, and shipping code, with a significant scope for independent architectural decisions, influencing partners, and providing technical guidance to other data engineers.
Responsibilities
- Own and evolve data pipeline architecture across core domains (ingestion, transformation, modeling, serving), making independent architectural decisions and evaluating tradeoffs between freshness, cost, scalability, and simplicity.
- Lead the design and implementation of platform-level improvements, including warehouse cost management, compute efficiency, and access control architecture, prioritizing reliability, observability, and cost efficiency.
- Identify and lead technical initiatives to improve the platform's long-term health, proactively surfacing and advocating for investments in orchestration, CI/CD, data access, and developer experience.
- Drive large, technically complex projects or multiple concurrent medium-sized initiatives spanning teams, taking responsibility for outcomes.
- Lead monitoring and testing strategy for your domain, proactively addressing observability gaps, building alerting, and handling complex production issues.
- Influence technical decisions and architectural direction beyond the Data & Analytics team, partnering with EPD stakeholders on infrastructure decisions.
- Actively mentor other data engineers and analytics engineers, reviewing architectural and modeling decisions, and serving as a technical peer.
- Integrate AI meaningfully into data engineering workflows by building tooling and automation and coaching others on effective use.
Requirements
- 7+ years of data engineering experience with a demonstrated track record of owning end-to-end pipeline architecture.
- Deep experience designing orchestration workflows in Apache Airflow, including architectural tradeoffs.
- Experience working with containerized data infrastructure in production, including service deployment, operational issue diagnosis, and platform reliability/scalability contributions.
- Demonstrated ability to evaluate and communicate architectural tradeoffs to both technical and non-technical stakeholders.
- Experience building or significantly improving CI/CD practices for data pipelines, including automated testing, validation, and deployment.
- A track record of leading incident response and monitoring strategy for a domain, including proactive alerting and observability.
- Experience influencing technical decisions across multiple teams or functions, partnering with stakeholders outside your immediate team.
- Experience mentoring other data engineers, including reviewing architectural and modeling decisions.
- Experience with Kubernetes-based data infrastructure.
- Experience leading a legacy ETL-to-modern-orchestration migration end-to-end.
- Familiarity with observability and monitoring tooling such as Datadog at a platform-wide scale.
- Experience building internal tooling or automation (including AI-assisted) that other engineers rely on.
Skills
- Apache Airflow
- Containerized data infrastructure
- CI/CD practices for data pipelines
- Incident response
- Monitoring strategy
- Observability
- Kubernetes
- ETL migration
- Datadog
- AI-assisted tooling
Location
- US
Work Type
- Full-time
Experience Level
- Senior
- 7+ years
Salary/Compensations
- Zone 1: $210,000 - $255,000 TTC (including $189,000 - $229,000 base salary) + equity
- Zone 2: $194,000 - $236,000 TTC (including $175,000 - $212,000 base salary) + equity
- Zone 3: $179,000 - $217,000 TTC (including $161,000 - $195,000 base salary) + equity
About the Company
- Apartment List's data platform is growing across more domains, pipelines, and stakeholders.