Senior Data Engineer

Glocomms; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

Glocomms client is seeking a Data Engineer to support its Revenue Operations team, building scalable data pipelines and trusted data solutions for analytics, forecasting, and executive decision-making in a modern cloud environment. You will own data integration from multiple sources and help shape the data platform roadmap.

You will work with Databricks and AWS to deliver cloud-based data solutions, improve data quality, governance, monitoring, and pipeline reliability, and collaborate with

Qualifications

• 5+ years of data engineering experience in production environments.
• Strong SQL, Python, and Spark/PySpark expertise.
• Experience with Databricks, Delta Lake, Unity Catalog, and AWS.
• Experience with dbt, Airflow, CI/CD, or similar orchestration tools.
• Experience integrating CRM and SaaS platforms into data warehouses.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines.
• Deliver cloud-based data solutions in Databricks and AWS.
• Improve data quality, monitoring, and pipeline reliability standards.
• Integrate and model data from CRM platforms.
• Partner with technical and business teams to deliver reporting needs.

Skills

SQL

Python

Spark/PySpark

Databricks

AWS

Tools

Delta Lake

Unity Catalog

Airflow

dbt

CI/CD

Job description

Our client is seeking a Data Engineer to support its Revenue Operation team, developing and maintaining the data infrastructure that enables commercial reporting, analytics, and business decision-making. This individual will play a key role in building scalable data pipelines, improving governance and reliability, and delivering trusted data solutions for cross-functional stakeholders.

Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines
• Deliver cloud-based data solutions in Databricks and AWS
• Improve data quality, monitoring, and pipeline reliability standards
• Integrate and model data from CRM platforms
• Partner with technical and business teams to deliver reporting needs

Required Qualifications

• 5+ years of data engineering experience in production environments
• Strong SQL, Python, and Spark/PySpark expertise
• Experience with Databricks, Delta Lake, Unity Catalog, and AWS
• Experience with dbt, Airflow, CI/CD, or similar orchestration tools
• Experience integrating CRM and SaaS platforms into data warehouses
• Knowledge of data modeling, warehousing, and governance principles

This position offers the opportunity to help shape the data platform of a well-established global organization while working with modern cloud and analytics technologies.

• Ownership of high-impact data initiatives
• Exposure to modern data and cloud platforms
• Collaborative global team environment
• Career growth and development opportunities
• Competitive compensation and benefits