Data Engineer
ABOUT US:
The Lions, much like the city and community they represent, are built on a blue-collar work ethic that values hustle and conviction.
Ford Field, the home of the Lions since 2002 in the heart of Detroit, is part of a vibrant sports and entertainment district featuring all four major professional sports franchises.
Ford Field is also home to a dedicated and passionate multi-generational fan base reflective of the innovation, creativity and drive synonymous with Detroit.
Under the leadership of Sheila Hamp, the great granddaughter of Henry Ford, the Lions have ushered in an era of rebirth focused on creating an inclusive and equitable experience for employees, partners and fans.
Building off the rich and diverse history of the city, the Lions embrace transparency and value contribution from all areas of the organization.
We believe in the power of a pride, and acknowledge winning together takes understanding, acceptance, and teamwork.
We believe in our we culture and are committed to building a new tradition that Detroit and Michigan can be proud of.
One Pride.
For All.
The Data Engineer is responsible for developing and maintaining the Lions data infrastructure and architecture.
This role is primarily responsible for the acquisition, storage, transformation and extraction of data for analysis.
Essential Functions:
The Data Engineer position will have daily responsibilities including, without limitation, the following Build and maintain a data infrastructure to manage the company's analytic requirements Develop, implement, and continuously troubleshoot ELT processes Implement CI/CD best practices for software solutions utilized by the team Engineer and develop cloud-based deployments of data pipelines, including automated deployments and job orchestration Design data models and architecture to support analytical processes, working with Strategy & Analytics team and administrators of business systems to identify efficiencies Develop processes ensuring data governance standards, security, stewardship, lineage, and metadata management Create strategies to resolve, clean, enrich, and unify data of various types from disparate data sources and subsequently surface unified data to business applications Support analytics work done by the Advanced Analytics team by translating requirements into scalable technical solutions Oversee all aspects of data management operations, including defining and resolving database problems, tuning for performance, and managing storage Identify, obtain, and integrate new data sources Collaborate with IT department and other system administrators to implement vendor sourced software, configuring that software, customizing, and integrating it with internal systems, including the data warehouse Ensure data compliance as dictated by organizational Privacy and Security Policies Responsible for appropriate documentation development, including requirements, design, code documentation, test plans, and other related documents QUALIFICATIONS / REQUIREMENTS:
Bachelor's degree or higher in technical discipline (computer science, engineering, etc.
) 5
years of experience with data engineering, ETL processes and database architecture Demonstrated experience and understanding of AWS cloud data environments Experience with Snowflake or another data cloud solution Experience with Confluence or another team workspace solution Experience with administering a dbt Core solution Advanced Python programming knowledge and background Proficiency in terraform is preferred Experience implementing CI/CD via GitHub actions is strongly preferred Experience with Docker and containerized application development Experience or knowledge of ECS Tasks/Services Experience writing and maintaining ETL processes which operate on a variety of structured and unstructured data sources Experience in large scale distributed data processing and orchestration (e.
g.
Airflow, Prefect, Step Functions) Previous experience using APIs, web services, and automating tasks Experience working with Salesforce and Ticketmaster is a plus Knowledge of BI, analytics, AI, and machine learning Strong analytical and problem-solving skills Strong interpersonal and communication skills (written and verbal) TO APPLY:
To apply, please submit a copy of your resume along with a cover letter detailing your interest and related experience to the position.
Due to the high volume or resumes received, we regret that we are unable to update candidates on the status of their application.
Those selected for further consideration will be contacted.
Please no phone calls or emails.
Recommended Skills Api Architecture Artificial Intelligence Business Intelligence Business Management Business Systems Estimated Salary: $20 to $28 per hour based on qualifications.
The Lions, much like the city and community they represent, are built on a blue-collar work ethic that values hustle and conviction.
Ford Field, the home of the Lions since 2002 in the heart of Detroit, is part of a vibrant sports and entertainment district featuring all four major professional sports franchises.
Ford Field is also home to a dedicated and passionate multi-generational fan base reflective of the innovation, creativity and drive synonymous with Detroit.
Under the leadership of Sheila Hamp, the great granddaughter of Henry Ford, the Lions have ushered in an era of rebirth focused on creating an inclusive and equitable experience for employees, partners and fans.
Building off the rich and diverse history of the city, the Lions embrace transparency and value contribution from all areas of the organization.
We believe in the power of a pride, and acknowledge winning together takes understanding, acceptance, and teamwork.
We believe in our we culture and are committed to building a new tradition that Detroit and Michigan can be proud of.
One Pride.
For All.
The Data Engineer is responsible for developing and maintaining the Lions data infrastructure and architecture.
This role is primarily responsible for the acquisition, storage, transformation and extraction of data for analysis.
Essential Functions:
The Data Engineer position will have daily responsibilities including, without limitation, the following Build and maintain a data infrastructure to manage the company's analytic requirements Develop, implement, and continuously troubleshoot ELT processes Implement CI/CD best practices for software solutions utilized by the team Engineer and develop cloud-based deployments of data pipelines, including automated deployments and job orchestration Design data models and architecture to support analytical processes, working with Strategy & Analytics team and administrators of business systems to identify efficiencies Develop processes ensuring data governance standards, security, stewardship, lineage, and metadata management Create strategies to resolve, clean, enrich, and unify data of various types from disparate data sources and subsequently surface unified data to business applications Support analytics work done by the Advanced Analytics team by translating requirements into scalable technical solutions Oversee all aspects of data management operations, including defining and resolving database problems, tuning for performance, and managing storage Identify, obtain, and integrate new data sources Collaborate with IT department and other system administrators to implement vendor sourced software, configuring that software, customizing, and integrating it with internal systems, including the data warehouse Ensure data compliance as dictated by organizational Privacy and Security Policies Responsible for appropriate documentation development, including requirements, design, code documentation, test plans, and other related documents QUALIFICATIONS / REQUIREMENTS:
Bachelor's degree or higher in technical discipline (computer science, engineering, etc.
) 5
years of experience with data engineering, ETL processes and database architecture Demonstrated experience and understanding of AWS cloud data environments Experience with Snowflake or another data cloud solution Experience with Confluence or another team workspace solution Experience with administering a dbt Core solution Advanced Python programming knowledge and background Proficiency in terraform is preferred Experience implementing CI/CD via GitHub actions is strongly preferred Experience with Docker and containerized application development Experience or knowledge of ECS Tasks/Services Experience writing and maintaining ETL processes which operate on a variety of structured and unstructured data sources Experience in large scale distributed data processing and orchestration (e.
g.
Airflow, Prefect, Step Functions) Previous experience using APIs, web services, and automating tasks Experience working with Salesforce and Ticketmaster is a plus Knowledge of BI, analytics, AI, and machine learning Strong analytical and problem-solving skills Strong interpersonal and communication skills (written and verbal) TO APPLY:
To apply, please submit a copy of your resume along with a cover letter detailing your interest and related experience to the position.
Due to the high volume or resumes received, we regret that we are unable to update candidates on the status of their application.
Those selected for further consideration will be contacted.
Please no phone calls or emails.
Recommended Skills Api Architecture Artificial Intelligence Business Intelligence Business Management Business Systems Estimated Salary: $20 to $28 per hour based on qualifications.
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