Senior Data Engineer

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

Job summary

Glocomms is seeking a Senior Data Engineer in Chicago, IL. This hybrid role combines on-site collaboration with remote work flexibility, focusing on building and optimizing data pipelines and models for marketing performance across media and customer channels.

You will own end-to-end data systems, collaborate with marketing, analytics, and data science teams, and drive data-driven decision making through robust ETL workflows and governance.

Qualifications

• 4+ years of data engineering experience in an enterprise environment.
• Strong SQL skills (core).
• Experience with Snowflake and Databricks.
• Hands-on ETL experience, ideally with Informatica.
• Python or PySpark for data processing.
• Background supporting marketing analytics, digital analytics, or media measurement is a big plus.

Responsibilities

• Design and maintain scalable data pipelines across marketing data sources.
• Build data models tied to media spend, engagement, conversion, and digital behavior.
• Write complex SQL transformations for reporting and analytics use cases.
• Collaborate with marketing, analytics, and data science teams to translate business needs into data solutions.
• Leverage Databricks and Informatica to automate and optimize ETL workflows.
• Ensure data quality, governance, and performance across the pipeline.

Skills

SQL

Python/PySpark

Data engineering

ETL

Databricks

Informatica

Snowflake

Marketing analytics

Tools

Databricks

Informatica

Snowflake

Job description

Senior Data Engineer
Chicago, IL (Hybrid - 3 days onsite)

I'm working on a really strong opportunity for a Senior Data Engineer to join a high-impact marketing data team driving how organizations measure performance across media, digital, and customer channels.

This is a hands-on role where you'll own the buildout and optimization of data pipelines and models that directly influence marketing investment decisions and consumer insights.

What you'll be doing:

• Designing and maintaining scalable data pipelines across multiple marketing data sources
• Building out data models tied to media spend, engagement, conversion, and digital behavior
• Writing complex SQL transformations for reporting and analytics use cases
• Working closely with marketing, analytics, and data science teams to translate business needs into data solutions
• Leveraging Databricks and Informatica to automate and optimize ETL workflows
• Ensuring data quality, governance, and performance across the pipeline

What they're looking for:

• 4+ years of data engineering experience in an enterprise environment
• Strong SQL skills (this is core)
• Experience with Snowflake and Databricks
• Hands-on ETL experience, ideally with Informatica
• Python or PySpark for data processing
• Background supporting marketing analytics, digital analytics, or media measurement is a big plus

If you're someone who enjoys building data systems that actually get used by the business and want more ownership over end-to-end pipelines, this is a great one.