Prep Baseball Roles

• Data Operations Engineer (Full-time)

• Data Engineering Intern (40 hours, paid)

• Baseball Analytics Intern (40 hours, paid)

Instructions on how to apply below each role:

About Prep Baseball:
Since its inception in 2005, Prep Baseball has evolved into one of the country’s biggest and most respected independent scouting services, with a singular focus of providing comprehensive year-round coverage in every state we are in. The mission of Prep Baseball is to scout and promote amateur baseball and, ultimately, help athletes achieve their dreams of playing baseball at the next level. With more than 150 scouts, we have the largest baseball scouting infrastructure across all levels of amateur baseball in the country.

Prep Baseball is the No. 1 resource for amateur baseball data in each region we cover. We achieve this by running high-quality events with the best players in each location, supported by our boots-on-the-ground scouting staff and multimedia platforms. Our goal is to become the authoritative voice on the ground level of each region.

The Data Operations team is responsible for ingesting data from trackman radars, blast motion bat sensors, VALD timing gates, as well as building internal and publicly facing data products around amateur baseball showcases and tournaments. The team is also responsible for data quality, data analysis, and data visualizations of baseball data. Through these roles, will impact our future initiatives, app development and data analytics.

This team sits at the intersection of event operations, analytics, and product. The team owns the systems and processes that transform raw, on-field data into trusted datasets used across the organization. This includes ensuring data accuracy at scale, supporting time-sensitive workflows during the season, and enabling long-term player analysis across multiple years and events.

Data Operations Engineer (remote)

About the Role
The Data Operations Engineer is responsible for designing, maintaining, and improving the data pipelines and workflows that power Prep Baseball’s analytics ecosystem. This role focuses on operational reliability, data quality, and scalability in a high-volume, event-driven environment.

Roles & Responsibilities

• Design, build, and maintain data pipelines that ingest and process data from Prep Baseball events, including radar, sensor, and scouting inputs.
• Own data quality, accuracy, and reliability for datasets used across internal tools and public-facing products.
• Develop and maintain data models that support longitudinal player tracking across events, regions, and seasons.
• Partner with scouting, operations, analytics, and product teams to translate real-world workflows into durable data solutions.
• Implement data validation, monitoring, and alerting to proactively identify and resolve data issues.
• Optimize ingestion and transformation workflows to handle high event volume and seasonal spikes.
• Support near-real-time and post-event data availability to meet operational and analytical needs.
• Maintain clear documentation and data definitions to ensure datasets are accessible and well-understood.
• Manage schema changes, historical backfills, and system improvements without disrupting existing workflows.
• Support the integration of new testing technologies, sensors, and event formats into the data ecosystem.
• Contribute to long-term planning and evolution of Prep Baseball’s data operations infrastructure.

Qualifications

• Experience working in a data operations, data engineering, or analytics engineering role.
• Strong proficiency in SQL and experience working with relational databases.
• Experience building, maintaining, or supporting data pipelines in a production environment.
• Hands-on experience working with cloud-based data infrastructure, preferably on AWS.
• Familiarity with AWS services commonly used in data workflows, such as S3, RDS, Redshift, and Lambda.
• Experience using AWS Lambda or similar serverless tools to support data ingestion, transformation, or automation tasks.

How to apply. Email mcgowan@prepbaseball.com with the subject your full name – Data Operations Engineer. In the email, please include:

• Resume
• Cover Letter
• Answer the following questions:
1. What makes you interested in working at Prep Baseball?
2. How would you design a schema for players and events?
3. Describe a data system or pipeline you’ve built that you’re most proud of. What problem was it solving, and why does it stand out to you?

Data Operations Intern (Backend Data Engineering)

Prep Baseball | Remote

About the Role

The Data Operations Intern will support the backend data engineering systems that power Prep Baseball’s analytics and data products. This role is focused on building and maintaining data pipelines, improving data reliability, and supporting production workflows in a high-volume, event-driven environment.
This internship is designed for candidates who are interested in backend engineering and data infrastructure, not data science or statistical modeling. Interns will work closely with Data Operations Engineers to gain hands-on experience with real production systems, including cloud-based workflows on AWS. High-performing interns may be considered for future full-time roles within Data Operations.

Roles & Responsibilities

• Assist with building and maintaining backend data pipelines that ingest and process data from Prep Baseball events.
• Support data ingestion workflows for radar, sensor, and scouting data collected in live event environments.
• Help implement data validation, error handling, and basic monitoring to improve pipeline reliability.
• Assist with maintaining and updating relational databases used by internal tools and public-facing products.
• Support schema updates, data backfills, and pipeline improvements under guidance from senior engineers.
• Assist with backend automation tasks using AWS services such as S3 and Lambda.
• Help test and deploy small updates to cloud-based data workflows.
• Document data workflows, schemas, and system behavior.
• Participate in debugging and resolving data pipeline issues alongside Data Operations Engineers.
• Learn best practices for building reliable backend systems in a cloud environment.

Qualifications

• Strong interest in backend engineering, data infrastructure, or data engineering.
• Currently pursuing or recently completed coursework in computer science, software engineering, or a related field.
• Experience writing code in at least one backend-oriented programming language (e.g., Python, Java, or similar).
• Familiarity with SQL and relational databases.
• Basic understanding of how data flows through backend systems (pipelines, batch jobs, APIs).
• Exposure to cloud concepts or AWS services (coursework, labs, or personal projects is sufficient).
• Interest in learning how AWS Lambda and other serverless tools are used in production data systems.
• Comfort working with evolving data structures and imperfect inputs.
• Ability to communicate clearly and collaborate in a remote team environment.
• Interest in baseball or sports technology is a plus, but not required.

How to apply. Email mcgowan@prepbaseball.com with the subject your “full name – Backend Engineering Internship”. In the email, please include:

• Resume
• Cover Letter
• Answer the following questions:
1. What interests you about working at Prep Baseball
2. What interests you about backend engineering, and how does it differ from data analysis or analytics work in your mind?
3. When working with data, which type of work do you enjoy more and why:
• Building systems that move, store, and validate data
• Or analyzing data to find patterns and insights?

Baseball Analytics Intern (remote)

About the Role
The Analytics Internship will work on applied research and exploratory data projects using real-world amateur baseball data. This role is designed for individuals interested in using data to ask better baseball questions, evaluate performance, and improve how players are measured and understood.
Interns will contribute to research-oriented initiatives while gaining exposure to production data workflows. High-performing interns may be considered for future full-time roles within the Data Operations team.

Roles & Responsibilities

• Explore and analyze large-scale amateur baseball datasets collected from Prep Baseball events, including performance testing, sensor data, and scouting inputs.
• Support research and development projects focused on evaluating metrics, testing assumptions, and identifying meaningful performance indicators.
• Assist in cleaning, validating, and preparing event data for analysis and research use.
• Perform exploratory data analysis to identify trends, distributions, outliers, and sources of variability across events and regions.
• Help assess the reliability and consistency of measurements collected in live event environments.
• Collaborate with Data Operations, media, and scouting stakeholders to frame research questions grounded in applicable scouting and recruiting use cases.
• Create clear summaries, visualizations, or written explanations of findings.
• Assist with documentation of metrics, methodologies, and assumptions used in research projects.
• Contribute to experimentation around new data sources, testing technologies, or evaluation approaches.

Qualifications

• Strong interest in baseball analytics, data science, or applied research.
• Currently pursuing or recently completed coursework in statistics, data science, computer science, engineering, or a related field.
• Experience performing exploratory data analysis on real datasets (coursework, research, or personal projects).
• Familiarity with statistical concepts such as distributions, variability, correlations, and basic modeling.

How to apply. Email mcgowan@prepbaseball.com with the subject your “full name – Baseball Analytics internship”. In the email, please include:

• Resume
• Cover Letter
• Answer the following questions:
1. What interests you about working at Prep Baseball, and how do you think data can improve how amateur players are evaluated and supported?
2. Talk about some trends or interesting research you have seen in the public space that excites you. How would you start exploring it?
3. What is one baseball question you’ve explored and researched? Describe your approach.

The content in this posting was created and provided solely by Prep Baseball.