Data Engineer

Indianapolis Colts

Indianapolis, INOn-siteFull time, Other
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Location
Indianapolis, IN
Work style
On-site
Job type
Full time, Other
Posted
Oct 26
1 day ago
Career path

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About the company

Indianapolis Colts

Sports · 201 to 500 employees

Indianapolis Colts on LinkedIn

What you'll do

  • Design, maintain, tune, and optimize the data warehouse
  • Design and manage ETL/ELT pipelines, data migrations, and data validation processes
  • Support integration of data into the enterprise data warehouse
  • Develop modeled data sets for commercial business
  • Monitor data flows and troubleshoot data ingestion, transformation, and delivery issues
  • Maintain data quality through validation, deduplication, and classification
  • Contribute to documentation of data processes, schemas, and workflows
  • Implement consumer privacy, consent, and cybersecurity processes

What you need

  • 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 Salesforce, Ticketing, Fanatics, and Power BI (preferred)

Key skills

SnowflakeSQLPythonETL/ELT pipelinesAirflowOpenflowMatilliondbtdata modelingschema designMicrosoft AzureAPIsGitHubCI/CD workflowsPower BI

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See full description on company page, apply now

Read the full posting here
The Indianapolis Colts are seeking a Data Engineer to play a key role supporting our organization’s data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power ticketing, sales, marketing initiatives, fan engagement, and analytics efforts. Working within a small, hands-on data team, this role assists in transforming raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ideal candidate is someone who thrives in a collaborative environment, is detail-oriented, and is passionate about building data solutions that drive business value within the sports and entertainment industry. This is a full-time, onsite position at our 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. HIRING MANAGER Vice President of Information Technology RESPONSIBILITIES Data warehouse design, maintenance, performance tuning, and optimization. Design and manage ETL/ELT pipelines, data migrations, and data validation processes including data flows from NFL and third-party sources. Support the integration of data into the enterprise data warehouse (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 in collaboration with the Analytics & Digital Innovation team. Monitor data flows and troubleshoot issues related to data ingestion, transformation, and delivery. Maintain data quality through validation, deduplication, and classification processes. Contribute to documentation of data processes, schemas, and workflows. Implement consumer privacy and consent processes through collaboration with the Privacy Coordinator to ensure compliance concerning PII, data lineage, and data governance. Implement cybersecurity best practices through collaboration with the Cybersecurity Engineer to ensure compliance with security controls and policies. Stay current with emerging technologies in data warehousing, pipelines, and reporting. Perform other duties as assigned. QUALIFICATIONS 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, with experience developing ETL/ELT pipelines using tools such as Airflow, Openflow, Matillion, or dbt. Preferred experience with Salesforce, Ticketing (Ticketmaster, SeatGeek, etc.), Fanatics, and Power BI. Familiarity with Microsoft Azure and cloud-based data platforms. Understanding of APIs, version control (GitHub), and CI/CD workflows. A genuine passion for professional sports and a desire to build a career in the industry. Experience with data modeling and schema design for data warehouse development and in support of reporting and analysis. Strong problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work directly with business stakeholders to understand their needs and explain technical work clearly. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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