Data Engineer

Indianapolis Colts•Indianapolis, IN

17h•Onsite

About The Position

The Indianapolis Colts are seeking a Data Engineer to support the organization’s data ecosystem by developing, maintaining, and optimizing data pipelines and systems that support ticketing, sales, marketing, fan engagement, and analytics. Working within a small, hands-on data team, the role helps transform raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates with Information Technology, Analytics & Digital Innovation, Marketing, and Sales to ensure data moves efficiently across platforms and systems. This is a full-time, onsite position at the Colts’ main offices at the Indiana Farm Bureau Football Center. The successful candidate will embody the Colts’ core values in support of the team’s mission to entertain, inspire, and unite by winning the right way.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field; an equivalent combination of education and experience may be considered.
2 to 4 years of hands-on data engineering experience building and supporting production data pipelines.
Proficiency in Snowflake, SQL, and Python.
Experience developing ETL/ELT pipelines using tools such as Airflow, Openflow, Matillion, or dbt.
Familiarity with Microsoft Azure and cloud-based data platforms.
Understanding of APIs, version control (GitHub), and CI/CD workflows.
Experience with data modeling and schema design for data warehouse development and to support reporting and analysis.
Strong problem-solving skills and attention to detail.
Strong communication and collaboration skills, including the ability to work directly with business stakeholders, understand their needs, and explain technical work clearly.
Passion for professional sports and a desire to build a career in the industry.

Nice To Haves

Experience with Salesforce, ticketing platforms such as Ticketmaster or SeatGeek, Fanatics, and Power BI.

Responsibilities

Design, maintain, tune, and optimize the data warehouse.
Design and manage ETL/ELT pipelines, data migrations, and data validation processes, including data flows from NFL and third-party sources.
Support data integration into the enterprise data warehouse using Snowflake and Microsoft Azure.
Collaborate with CRM, Marketing, and Analytics teams to understand data needs and deliver reliable solutions.
Develop modeled data sets for commercial business with the Analytics & Digital Innovation team.
Monitor data flows and troubleshoot data ingestion, transformation, and delivery issues.
Maintain data quality through validation, deduplication, and classification processes.
Contribute to documentation of data processes, schemas, and workflows.
Implement consumer privacy and consent processes with the Privacy Coordinator to support compliance concerning PII, data lineage, and data governance.
Implement cybersecurity best practices with the Cybersecurity Engineer to support compliance with security controls and policies.
Stay current with emerging technologies in data warehousing, pipelines, and reporting.
Perform other duties as assigned.