Apartment List is a smart, simple, and seamless renting platform that’s dedicated to making the process fair and transparent for all. Backed by Glynn Capital Management.
About the role
As Apartment List's data platform grows across more domains, more pipelines, and more stakeholders, the architectural decisions made today determine how much technical debt we're paying down in a year. We're looking for a Senior Data Engineer II (IC4) to own that architecture; end-to-end pipeline design, platform investment tradeoffs, and the technical judgment calls that keep the system reliable as it scales. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 7+ years of data engineering experience, including a demonstrated track record of owning end-to-end pipeline architecture, not just implementing to spec
- Deep experience designing orchestration workflows in Apache Airflow, including making architectural tradeoffs across ingestion, transformation, modeling, and serving layers
- Experience working with containerized data infrastructure in production, including deploying services, diagnosing operational issues, and contributing to platform reliability and scalability
- Demonstrated ability to evaluate and communicate architectural tradeoffs (freshness vs. cost, scalability vs. simplicity) 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 building alerting and observability ahead of failures rather than reacting to them
More about this role
As Apartment List's data platform grows across more domains, more pipelines, and more stakeholders, the architectural decisions made today determine how much technical debt we're paying down in a year. We're looking for a Senior Data Engineer II (IC4) to own that architecture; end-to-end pipeline design, platform investment tradeoffs, and the technical judgment calls that keep the system reliable as it scales.
This is not a design-from-the-whiteboard role. You'll still be hands-on-keyboard: writing pipelines, debugging production issues, and shipping code alongside the team. What sets this role apart is scope; you'll make architectural decisions independently, influence how Analytics Engineering, Data Science, and Engineering partners build on the platform, and be the person other data engineers come to when a design decision needs a second opinion. You'll work closely with Analytics Engineering, Data Science, and Engineering partners to shape how the data platform evolves.
- Own and evolve data pipeline architecture across core domains — ingestion, transformation, modeling, and serving — making project-level architectural decisions independently and evaluating tradeoffs between...
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