# Senior Data Engineer
**Company:** [Metropolis](https://hotfix.jobs/companies/metropolis)
**Location:** Seattle, WA
**Salary:** $160K-$220K
**Experience:** 5+ years
**Skills:** Python, SQL, Snowflake, dbt, Airflow, AWS, ETL, ELT, Postgres, MySQL, Spark, Pyspark, Glue, Kubernetes, Iac
**Posted:** 2026-05-13
> Designs and owns data architecture, builds/optimizes ETL pipelines and models using Python/SQL on Snowflake/AWS. Requires 5+ years data engineering experience and bachelor's in CS; 4 days/week onsite in Seattle.
## Job Description
## What you'll do

- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours

## What we're looking for

- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- **Master's degree is preferred**
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with **Python**, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in **SQL**, **ETL/ELT**, and data modeling, with extensive experience in **Snowflake** and **dbt**
- Hands-on experience with RDBMS such as **MySQL**, **MS SQL Server** (optional), and **Postgres**
- Familiarity with integration tools like **Airflow** and **Automic**, along with a working knowledge of **CI/CD pipelines**
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern **IaC** ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably **AWS**, including hands-on experience with services like **Glue**, **Airflow (MWAA)**, **DMS**, **EKS**, and **SNS**

**While not required, these are a plus:**
- Experience with **Spark** and **PySpark**
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field

**Compensation:** Anticipated base salary $160,000 - $220,000 USD annually, plus benefits including healthcare, 401(k), stock options, bonus plans.
**Apply:** https://hotfix.jobs/jobs/senior-data-engineer-at-metropolis-a3555165-fc14-49af-bf2c-ad7c09da8c6c
**Canonical:** https://hotfix.jobs/jobs/senior-data-engineer-at-metropolis-a3555165-fc14-49af-bf2c-ad7c09da8c6c