# Senior Data Engineer II

**Company:** [Apartment List](https://hotfix.jobs/companies/apartment-list)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $145k – $207k/yr
**Experience:** 7+ years
**Skills:** apache airflow, Kubernetes, CI/CD, Data Pipelines, data architecture, Data Modeling, containerization, Datadog, Observability, Monitoring, automated testing, ETL, Data Warehousing, Access Control, AI Automation
**Posted:** 2026-08-03

> Owns the architecture and operation of a scalable data platform, designing Airflow pipelines, improving reliability and cost efficiency, and leading cross-team technical initiatives. Requires 7+ years of data engineering experience, production container infrastructure expertise, and strong architectural leadership.

## Job Description

## Responsibilities
- Own and evolve data pipeline architecture across ingestion, transformation, modeling, and serving layers.
- Make architectural decisions independently, evaluating tradeoffs among freshness, cost, scalability, and simplicity.
- Lead platform improvements for warehouse cost management, compute efficiency, access control, reliability, observability, and developer experience.
- Identify and lead technical initiatives involving orchestration, CI/CD, data access, and internal tooling.
- Drive complex cross-team projects and take responsibility for outcomes.
- Lead monitoring, testing, incident response, alerting, and observability strategy for the data domain.
- Influence infrastructure and architectural decisions with Engineering, Product, Data Science, and other stakeholders.
- Mentor data engineers and analytics engineers through architectural and modeling reviews.
- Integrate AI into data engineering workflows through validated tooling and automation.

## Requirements
- 7+ years of data engineering experience, including ownership of end-to-end pipeline architecture.
- Deep experience designing Apache Airflow orchestration workflows across ingestion, transformation, modeling, and serving layers.
- Experience with containerized data infrastructure in production, including service deployment and operational troubleshooting.
- Ability to evaluate and communicate architectural tradeoffs to technical and non-technical stakeholders.
- Experience improving CI/CD practices for data pipelines, including automated testing, validation, and deployment.
- Experience leading incident response and monitoring strategy, including proactive alerting and observability.
- Experience influencing technical decisions across multiple teams or functions.
- Experience mentoring data engineers and reviewing architectural and modeling decisions.

## Nice-to-haves
- Experience with Kubernetes-based data infrastructure.
- Experience leading legacy ETL-to-modern-orchestration migrations end to end.
- Familiarity with platform-scale observability and monitoring tools such as Datadog.
- Experience building internal tooling or automation, including AI-assisted tools.

## Compensation
- **Zone 1:** $171,000 - $207,000 total target compensation, including $154,000 - $182,000 base salary, plus equity.
- **Zone 2:** $158,000 - $191,000 total target compensation, including $142,000 - $168,000 base salary, plus equity.
- **Zone 3:** $145,000 - $176,000 total target compensation, including $130,000 - $155,000 base salary, plus equity.
- Compensation targets vary based on work location, skills, experience, education, training, and other job-related factors.

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