# Senior Data Engineer

**Company:** [Metropolis](https://hotfix.jobs/companies/metropolis)
**Location:** New York, NY, Seattle, WA, Chicago, IL, Nashville, TN, Los Angeles, CA
**Role:** Data Engineering
**Salary:** $160k – $220k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, Snowflake, dbt, Airflow, AWS, ETL, ELT, Postgres, MySQL, Spark, Pyspark, Glue, CI/CD, Iac
**Posted:** 2026-05-13

> Designs and owns data architecture, builds/optimizes pipelines and models using Python, SQL, Snowflake, dbt, and AWS. Manages SLAs, data governance, and mentors team; requires 5+ years experience and bachelor's in CS or related.

## 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
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field (**Master's 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** with **Python**, 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 working knowledge of **CI/CD** pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of modern **IaC** ecosystem for automated infrastructure deployments
- Experience with cloud computing services, preferably **AWS**, including **Glue**, **Airflow (MWAA)**, **DMS**, **EKS**, and **SNS**

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

## Compensation
- Base salary: **$160,000 - $220,000 USD** annually
- Total compensation may include healthcare, 401(k), disability coverage, life insurance, stock options, bonuses

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