Junior Data Engineer

Job Responsibilities:

• Contribute to all aspects of the data engineering lifecycle, including data ingestion, transformation, orchestration, and consumption, while assisting in the development of reusable frameworks and automated workflows.
• Provide on-going maintenance and support of existing and new data solutions.
• Assist in automating and optimizing analytic workloads by identifying opportunities to improve data processes and engineering efficiency.
• Participate in the implementation of data engineering solutions for processing, integrating, and storing high-volume data sets.
• Assist in monitoring data quality by performing data validation, testing, and quality analysis to ensure accurate and reliable data.
• Follow established engineering standards and best practices, including version control, automated testing, and CI/CD processes.
• Continuously develop technical knowledge and engineering skills while contributing to the team's culture of collaboration and continuous improvement.
• Collaborate with senior team members to troubleshoot data-related technical issues and support the organization's data infrastructure needs.
• Provide outstanding, friendly, customer service to all Augusta National staff, including executives and Club members as appropriate while being a positive representation of the Software Engineering and Data Analytics department to the entire organization.
• Maintain the strict confidentiality of Augusta National Golf Club, its staff and membership, and all aspects of the business.
• Assist with general Data Analytics related tasks as needed
• Assist with Data Analytics related tasks and preparations for The Masters Tournament
• Meet with users as required to discuss and re-visit departmental application needs
• Performs other duties which are deemed by management to be an important part of the job.
• Physical demands are outlined immediately below.

Physical Demands

• Acceptable level of hearing and vision to perform job duties
• Occasionallyrequired to walk and work with hands and arms, lift up to 25 pounds and/or drive a golf cart.
• Constantly required to sit, sometimes for several hours at a time, and use their hands and fingers to operate a computer.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Qualifications:

     Skills/Knowledge/Attributes:

• Ability to analyze data requirements and various data sources while assisting in the extraction, transformation, and loading of data into the data warehouse.
• Proficiency in writing SQL queries and stored procedures with the ability to learn query optimization techniques.
• Foundational understanding of database design principles and data warehousing best practices.
• Experience with or working knowledge of Snowflake or other cloud data warehouse platforms.
• Familiarity with Microsoft SQL Server or similar relational database platforms.
• Experience with or exposure to dbt, SQL Server Integration Services (SSIS), and Apache Airflow for automating data pipelines or similar technologies.
• Familiarity with solution automation, version control, automated testing, and CI/CD concepts is a plus.
• Familiarity with Python or other programming languages used in data engineering and analytics is a plus.
• Ability to learn and apply engineering best practices while contributing to sustainable and scalable data solutions.
• Demonstrates initiative, curiosity, strong problem-solving skills, and a willingness to learn new technologies and engineering practices.
• Comfortable in customer experience environment.

Relative Experience/Education:

• Undergraduate degree in Analytics, Mathematics, Computer Science, Information Management, or a related technical discipline.
• Zero (0) to two (2) years of experience in Data Engineering, Data Analytics, Software Engineering, Business Intelligence, or a related technical field. Relevant internships, co-op experience, or academic projects may be considered.
• Familiar with BI reporting tools such as Tableau and Power BI.
• Experience with or exposure to cloud data warehouse solutions such as Snowflake is preferred.
• Prior experience working in the Sports & Entertainment industries is a plus.

Required License(s):

• Possess a valid driver’s license and/or successfully complete the Club’s internal motor vehicle training program

Projected Work Schedule:

Normal work hours are 8:30 am to 5:00 pm, Monday through Friday. Must be available to work nights, weekends, and holidays.

Work Authorization & Sponsorship:

Applicants must be legally authorized to work in the United States at the time of hire. We are unable to provide visa sponsorship for this position.