Job Title: Data Engineer
We are looking for a Data Engineer to join our team and take ownership of our data infrastructure. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
Key Responsibilities
- Pipeline Development: Create and maintain optimal data pipeline architecture (ETL/ELT) using tools like Airflow, DBT, or Fivetran.
- Data Modeling: Design, build, and manage large, complex data sets that meet functional and non-functional business requirements.
- Infrastructure Management: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Stakeholder Support: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
- Data Quality: Work with data and analytics experts to strive for greater functionality in our data systems, ensuring data integrity and security.
Required Skills & Qualifications
- Advanced SQL Knowledge: Experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Programming: Proficiency in Python, Scala, or Java
- Cloud Platforms: Experience with any cloud services such as AWS (Redshift, S3, Glue), Azure (Data Factory, Synapse), but preference for experience with Google Cloud (BigQuery).
- Big Data Tools: Experience with Spark, Hadoop, Kafka, or similar distributed systems.
- Data Warehousing: Solid understanding of Snowflake, Databricks, or similar modern data stack components.
Preferred Attributes
- Experience supporting and working with cross-functional teams in a dynamic environment.
- A "DevOps" mindset—experience with Docker, Kubernetes, and CI/CD pipelines.
- Strong analytical skills related to working with unstructured datasets.
CME Group: Where Futures are Made
CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.
Skills Required
- Advanced SQL knowledge and experience authoring queries against relational databases
- Proficiency in Python, Scala, or Java
- Experience with cloud data services (AWS, Azure, or Google Cloud)
- Experience with Google Cloud BigQuery (preferred)
- Experience building and maintaining ETL/ELT pipelines (Airflow, DBT, Fivetran)
- Experience with big data distributed systems (Spark, Hadoop, Kafka)
- Understanding of modern data warehousing technologies (Snowflake, Databricks or similar)
- Experience designing, building, and managing large/complex data sets and data models
- Familiarity with data integrity, security, and data quality practices
- DevOps mindset: experience with Docker, Kubernetes, and CI/CD pipelines
- Experience working with unstructured datasets and cross-functional teams
CME Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CME Group and has not been reviewed or approved by CME Group.
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Retirement Support — U.S. offerings include both a 401(k) and a company-funded cash-balance pension, strengthening long-term financial security. This dual-track structure is highlighted as a notable differentiator among private employers.
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Leave & Time Off Breadth — PTO and holiday schedules are described as generous, with ample time off and carryover commonly highlighted. This breadth of leave meaningfully enhances perceived total rewards.
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Flexible Benefits — A flexible, hybrid work model applies to many roles, increasing day-to-day usability of the package. Flexibility is framed as a standard feature rather than an exception.
CME Group Insights
What We Do
As the world's leading derivatives marketplace, CME Group (www.cmegroup.com) is where the world comes to manage risk. CME Group exchanges offer the widest range of global benchmark products across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, metals, weather and real estate. CME Group brings buyers and sellers together through its CME Globex® electronic trading platform and its trading facilities in New York and Chicago. CME Group also operates CME Clearing, one of the world’s leading central counterparty clearing provider in the world, which offers clearing and settlement services for exchange-traded contracts, as well as for over-the-counter derivatives transactions through CME ClearPort®. These products and services ensure that businesses everywhere can substantially mitigate counterparty credit risk in both listed and over-the-counter derivatives markets.
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