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Remote Volunteer Football Scouting Jobs (NOW HIRING)

SumerSports LLC

Data Engineer

$160K - $190K/yr

SumerSports is a leading football intelligence technology company that specializes in providing an ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Stellantis

PDT Regional NA Training Manager

Auburn Hills, MI · Remote

$56K - $71K/yr

Guarantees localization of global initiatives delivered on a remote basis and proposes regional ... Supports ILT delivery of global and academy-driven initiatives, including scouting and selection of ...

SwingDev-a hippo company

Senior Data Architect

$68.75 - $92/hr

Salary 36 000 - 40 000 PLN + VAT on B2B Basics Form of contract of your choosing Remote work ... Voluntary Non-service days Extras you may like Cafeteria platform - extra "stowka"every month to ...

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Remote Volunteer Football Scouting information

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$33

How much do remote volunteer football scouting jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote volunteer football scouting in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What is a remote volunteer football scout?

A remote volunteer football scout is someone who evaluates football players and teams from a distance, often using video analysis, statistical data, and online research rather than attending games in person. These scouts typically volunteer their time to help clubs, organizations, or scouting networks identify promising talent. Tasks may include writing reports on player performance, tracking player progress, and assisting with recruitment recommendations. This role is ideal for individuals passionate about football who want to gain experience in scouting without needing to travel or relocate. It also provides valuable networking opportunities within the football industry.

What are the key skills and qualifications needed to thrive as a remote volunteer football scout?

To thrive as a Remote Volunteer Football Scout, you need a solid understanding of football tactics, player evaluation, and game analysis, often supported by prior playing or coaching experience. Familiarity with video analysis tools, scouting platforms, and basic data entry software is typically required. Strong observational skills, attention to detail, and effective written communication help scouts convey insights clearly and collaborate remotely. These skills are crucial for identifying talent accurately and providing valuable reports to coaching staff or recruitment teams from a distance.

How does a remote volunteer football scout effectively collaborate with club coaches and other scouts while working from a distance?

Remote volunteer football scouts typically use digital communication tools—such as video calls, messaging apps, and shared databases—to keep in close contact with club coaches and fellow scouts. Regular virtual meetings are common to discuss player evaluations, share match footage, and update scouting reports. Building strong relationships and maintaining frequent, clear communication are key to overcoming the challenges of not being onsite. Scouts are also expected to submit detailed assessments and may participate in group discussions or presentations to ensure their observations contribute meaningfully to the club’s recruitment strategy.

What is the difference between Remote Volunteer Football Scouting vs Remote Football Data Analyst?

AspectRemote Volunteer Football Scouting
Required Credentials
Basic knowledge of football, scouting experience preferred
Work Environment
Remote, flexible hours, volunteer basis
Employer & Industry Usage
Sports teams, youth leagues, amateur clubs

Remote Volunteer Football Scouting involves evaluating player talent remotely, often based on game footage or reports, with minimal formal credentials. In contrast, Remote Football Data Analysts analyze game data and statistics, typically requiring data analysis skills and sometimes certifications. Both roles are remote and industry-specific, but scouting focuses on player evaluation, while data analysis emphasizes statistical insights.

More about Remote Volunteer Football Scouting jobs

What cities are hiring for Remote Volunteer Football Scouting jobs?

Cities with the most Remote Volunteer Football Scouting job openings:

What are the most commonly searched types of Volunteer Football Scouting jobs?

The most popular types of Volunteer Football Scouting jobs are:

What states have the most Remote Volunteer Football Scouting jobs?

States with the most job openings for Remote Volunteer Football Scouting jobs include:

What job categories do people searching Remote Volunteer Football Scouting jobs look for?

The top searched job categories for Remote Volunteer Football Scouting jobs are:

Remote Volunteer Football Scouting jobs near you
Infographic showing various Remote Volunteer Football Scouting job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Data Engineer

Remote

SumerSports LLC
See more jobs at SumerSports LLCexternal

$160K - $190K/yr

Full-time

Medical, Retirement

Re-posted 21 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
Position Summary
Our data engineering team is the foundation of this system, ensuring data is accurate, fast, and always available for our models and AI applications.
As a Data Engineer, you'll design, build, and maintain the data pipelines that power our deep learning, video and LLM systems. You'll work across ingestion, transformation, and orchestration layers - from real-time feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and scalable for use by model training, analytics, and AI-driven products across multiple sports. You'll collaborate closely with our MLOps, and Sports Data teams to ensure seamless integration between data and AI.
Responsibilities
  • Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Kubernetes.
  • Develop efficient ETL/ELT workflows in Python and SQL to support both batch and streaming workloads.
  • Partner with ML/AI teams to make datasets and tools discoverable and safe for autonomous agents, including evaluation and guardrails for AI-generated queries.
  • Develop retrieval pipelines (RAG, vector search) over structured stats and unstructured sources (scouting notes, video metadata) to power AI applications.
  • Model and maintain structured data assets (Delta, Parquet, Iceberg) for reliability, versioning, and lineage tracking.
  • Implement orchestration and monitoring: schedule jobs, track dependencies, and automate recovery from failures.
  • Ensure data quality and compliance through validation frameworks, schema enforcement, and audit logging.
  • Contribute to data platform evolution: evaluate tools, standardize best practices, and improve developer experience.
  • Support performance and cost optimization across compute, storage, and orchestration systems.

Qualifications
  • 3-8 years of experience as a Data Engineer or ETL Developer in a production environment.
  • Proficiency in Python and SQL; strong familiarity with Databricks, Spark, or equivalent big-data frameworks.
  • Experience with workflow orchestration tools such as Airflow, Dagster, Luigi or Prefect.
  • Deep understanding of data modeling, data warehousing, and distributed data processing.
  • Knowledge of modern data lakehouse architectures.
  • Familiarity with CI/CD, GitHub Actions, Infrastructure as Code, and data pipeline testing frameworks.
  • Comfort working in a cross-functional environment with ML, product, and analytics teams.
  • Exposure to LLM-powered data tools: text-to-SQL, RAG, agent/tool interfaces (e.g. MCP), or natural-language analytics.
  • Previous work with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).

Preferred
  • Previous experience with sports, telemetry, or sensor data pipelines.
  • Familiarity with streaming frameworks and event driven data processing (Kafka, Spark Structured Streaming, Flink).
  • General knowledge of American football, the NFL, and college football.
  • Background in data governance, lineage, and observability tools (Monte Carlo, Great Expectations, Unity Catalog, OpenLineage).
  • Experience designing semantic layers or metric definitions consumed by AI and BI tools.
  • Exposure to best practices in machine-learning model management and MLOps.

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

SumerSports is committed to fair and equitable compensation practices.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.
The pay range for this role is:
160,000 - 190,000 USD per year (Remote)

Apply