Data Operations Engineer

NJF Global Holdings Ltd; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

NJF Global Holdings Ltd seeks a talented Data Operations Engineer for its Chicago data team. The role emphasizes building scalable ingestion pipelines, automation, and reliability across critical data platforms.

You will work with Python, Databricks, Delta Lake and Spark, and collaborate with traders, researchers and engineers to shape a greenfield data operations future in Chicago.

Qualifications

• 3+ years of experience in Data Engineering, Software Engineering, SRE, or Platform Engineering.
• Experience with data pipelines, ETL/ELT, and automation.
• Exposure to Databricks, Spark or Delta Lake is advantageous.

Responsibilities

• Build and automate scalable data ingestion pipelines.
• Develop Python-based tooling, monitoring and data quality frameworks.
• Improve observability and reliability across data platforms.
• Collaborate with traders, researchers and engineers.

Skills

Data engineering

Software engineering

SRE mindset

Tools

Python

Databricks

Delta Lake

Spark

Job description

We're Hiring: Data Operations Engineer | Chicago

Our client, a leading global market maker, is looking for a talented Data Operations Engineer to join its growing Global Data Engineering team in Chicago.

This is an exciting opportunity for an engineer who enjoys building solutions, automating processes and improving the reliability of business-critical data platforms.

The opportunity:

• 70% engineering / 30% operations.
• Build and automate scalable data ingestion pipelines.
• Develop Python-based tooling, monitoring and data quality frameworks.
• Improve observability and reliability across data platforms.
• Work with Python, Databricks, Delta Lake, Spark and modern data technologies.
• Collaborate with traders, researchers and engineers.
• Take real ownership in a relatively greenfield environment and help shape the future of global data operations.

What we're looking for:

• 3+ years' experience in Data Engineering, Software Engineering, SRE or Platform Engineering.
• Experience with data pipelines, ETL/ELT and automation.
• Exposure to Databricks, Spark or Delta Lake is advantageous.
• Someone with an engineering mindset who enjoys solving problems and automating manual processes.