Data Pipeline Engineer — ETL/ELT & Data Quality

ACI Infotech; Chicago (IL); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) with company match

Flexible PTO policy

Job summary

A consulting firm for Fortune 500 companies located in Chicago is seeking a data engineer to build and maintain robust data pipelines. You will leverage modern data stack tools, work with cloud-native services, and implement data quality frameworks. The ideal candidate has over 3 years of experience in data engineering, is proficient in Python and SQL, and is familiar with orchestration tools like Airflow. Benefits include health insurance, 401(k) with match, and a flexible PTO policy.

Qualifications

• 3+ years of experience building data pipelines.
• Proficiency in Python and SQL is required.
• Experience with orchestration tools like Airflow or Prefect.

Responsibilities

• Develop and maintain ETL/ELT pipelines.
• Implement data quality and validation frameworks.
• Automate data workflows and monitoring.

Skills

Python

SQL

Orchestration tools

Data quality principles

Tools

Airflow

dbt

Docker

Kubernetes

Job description

A consulting firm for Fortune 500 companies located in Chicago is seeking a data engineer to build and maintain robust data pipelines. You will leverage modern data stack tools, work with cloud-native services, and implement data quality frameworks. The ideal candidate has over 3 years of experience in data engineering, is proficient in Python and SQL, and is familiar with orchestration tools like Airflow. Benefits include health insurance, 401(k) with match, and a flexible PTO policy.