# Senior Data Engineer
**Company:** [Metropolis](https://hotfix.jobs/companies/metropolis)
**Location:** Chicago, IL
**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/optimates scalable ETL pipelines and data models using Python, SQL, Snowflake, dbt on AWS. Requires 5+ years data engineering experience, Bachelor's in CS or related; 4 days/week onsite in Chicago.
## Job Description
## Responsibilities
- 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

## Requirements
**Education:**
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field (Master's preferred)

**Experience:**
- 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

**Skills:**
- 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**

## Nice-to-Haves
- Experience with **Spark** and **PySpark**
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field

## Compensation
- Base salary: **$160,000 - $220,000 USD** annually
- Total compensation may include healthcare benefits, 401(k), disability coverage, life insurance, stock options, bonus plans
**Apply:** https://hotfix.jobs/jobs/senior-data-engineer-at-metropolis-bbea9ee5-7c4a-4df9-9af0-65ddff824e47
**Canonical:** https://hotfix.jobs/jobs/senior-data-engineer-at-metropolis-bbea9ee5-7c4a-4df9-9af0-65ddff824e47