Excel Sports Management
Data Engineer
Chicago, Illinois, United States
No sponsorshipDetected 6 days ago
PythonFastAPIFlaskGitSQLPostgreSQLMySQLRedshiftAWSGCPAzureCloud PlatformsDockerTerraformCI/CDMachine LearningAirflowData EngineeringData ScienceData VisualizationLLMsAI OrchestrationExcelpytest
About the role
- This role will be based out of the Excel Chicago office.
- Contribute to CI/CD pipelines and containerized (Docker) workflows, ensuring changes are tested and deployed safely.
- Investigate and resolve data and pipeline issues, and help improve monitoring so problems are caught early.
Responsibilities
- Build, maintain, and optimize data pipelines that reliably ingest, transform, and export data from internal and external sources.
- Write and maintain automated tests-unit, integration, and data-quality checks-to ensure pipelines and datasets are correct, complete, and trustworthy.
- Develop Python-based data workflows and orchestration tasks following established team patterns.
- Contribute to relational data design-tables and relationships, primary/foreign keys, and appropriate indexing-and deliver schema changes as version-controlled migrations.
- Support the data lake and warehouse layer (S3, Athena/Glue, PostgreSQL/Aurora), helping keep schemas, models, and documentation accurate.
- Provide production support for data pipelines during standard working hours.
- Collaborate with analysts, engineers, and client-facing teams to turn business needs into clean, documented solutions.
Requirements
- Proficiency in Python and SQL, with hands-on experience building or maintaining data pipelines.
- Experience with OLTP (row-oriented) databases (PostgreSQL, MySQL, or equivalent).
- Experience with OLAP (columnar) databases (Clickhouse, Redshift or equivalent).
- Familiarity with Git and CI/CD pipelines, and an understanding of data and software engineering best practices.
- Ability to work collaboratively, take ownership of your work, and operate in a fast-paced environment.
- Knowledge, Skills and Abilities:
- A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience.
Nice to have
- Working knowledge of cloud environments (AWS preferred
Skills
- Experience with Apache Airflow or other workflow orchestration tools.
- Familiarity with Terraform or Infrastructure-as-Code.
- Familiarity with event-driven or serverless architectures (e.g., S3/SQS-triggered pipelines, Lambda).
- Experience with BI tools (Power BI, Tableau).
- Experience working in the sports industry and/or the agency world.
- Strong interest in sports and sports analytics.
- Familiarity with marketing data (e.g., campaign, audience, engagement, and brand/sponsorship metrics);
Compensation
- $100,000 per year - $115,000 per year.
- Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.
- This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.
Benefits
- Education and Experience:
- This position is also eligible for benefits and discretionary bonus.
Company info
- Excel Sports Management is an industry-leading sports agency representing top-tier talent, blue-chip brands and marquee.
Visa & Work Authorization
- Familiarity with marketing data (e.g., campaign, audience, engagement, and brand/sponsorship metrics);
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This listing is sourced directly from Excel Sports Management's careers page and normalized into a canonical job model.