Senior Data Engineer — Scalable Pipelines & Data Governance

Metropolis; Chicago (IL); On-site; USD 160,000 - 220,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Short‑term and long‑term disability coverage

Stock option plan

Bonus plans

Job summary

A leading technology firm in Chicago seeks a Senior Data Engineer to develop and manage extensive data products aligned with their innovative vision. Responsibilities encompass designing data pipelines, ensuring data security and compliance, and collaborating with cross-functional teams. The ideal candidate should have over 5 years' experience in data engineering and be proficient in Python and SQL. This on-site role values in-person teamwork with a competitive salary range of $160,000 to $220,000 annually, alongside various benefits.

Qualifications

• 5+ years of experience in data engineering with cloud data sets.
• Hands-on experience in building scalable Big Data solutions.
• Ability to deliver high standards of code quality and performance.

Responsibilities

• Collaborate with teams to develop end-to-end data pipelines.
• Design data architecture for large-scale projects.
• Implement data security models and ensure compliance.

Skills

Python

SQL

ETL/ELT

Data Modeling

Snowflake

dbt

Airflow

Education

Bachelor's degree in Computer Science or a relevant field

Master's degree in Computer Science preferred

Tools

AWS

MySQL

MS SQL Server

Postgres

Airflow

Spark

Job description

A leading technology firm in Chicago seeks a Senior Data Engineer to develop and manage extensive data products aligned with their innovative vision. Responsibilities encompass designing data pipelines, ensuring data security and compliance, and collaborating with cross-functional teams. The ideal candidate should have over 5 years' experience in data engineering and be proficient in Python and SQL. This on-site role values in-person teamwork with a competitive salary range of $160,000 to $220,000 annually, alongside various benefits.