Data Engineer
$160K - $190K/yr
We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...
Data Engineer
$160K - $190K/yr
We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...
Remote Nfl Scouting information
See salary details
$67K - $78.6K
4% of jobs
$78.6K - $90.2K
5% of jobs
$90.2K - $101.8K
9% of jobs
$106.5K is the 25th percentile. Wages below this are outliers.
$101.8K - $113.4K
15% of jobs
$113.4K - $125K
13% of jobs
The median wage is $129.5K / yr.
$125K - $136.5K
9% of jobs
$136.5K - $148.1K
11% of jobs
$156.1K is the 75th percentile. Wages above this are outliers.
$148.1K - $159.7K
13% of jobs
$159.7K - $171.3K
9% of jobs
$171.3K - $182.9K
6% of jobs
$182.9K - $194.5K
5% of jobs
$67K
$134.2K
$194.5K
How much do remote nfl scouting jobs pay per year?
As of Aug 15, 2026, the average yearly pay for remote nfl scouting in the United States is $134,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $159,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a remote NFL scout, and why are they important?
To thrive as a Remote NFL Scout, you need a deep understanding of football strategy, player evaluation techniques, and experience in data analysis, often supported by a degree in sports management or a related field. Familiarity with scouting software, video analysis tools like Hudl, and advanced statistical platforms is typically required. Excellent observational skills, strong communication, and the ability to work independently are crucial soft skills for this role. These competencies enable scouts to provide accurate, actionable insights on players and teams, which are vital for successful talent identification and team building.
How does a remote NFL scout effectively collaborate with coaching staff and other scouts when working off-site?
Remote NFL scouts maintain close communication with coaching staff and fellow scouts through regular virtual meetings, video conferences, and shared digital scouting reports. They utilize specialized software to upload player evaluations, game footage, and notes, ensuring everyone stays informed and aligned despite not being physically present. Building strong relationships and clear communication channels is key, as remote scouts must be proactive in sharing insights and responding quickly to new requests or changes in scouting priorities. This collaborative approach helps ensure that all team members have access to the latest information for informed decision-making during the draft and throughout the season.
What is remote NFL scouting?
Remote NFL scouting involves evaluating football players and teams via digital tools rather than in-person visits. Scouts analyze game footage, statistical data, and player reports from their home or office, often using specialized software to assess player performance and potential. This approach allows teams to efficiently review a large number of prospects and collaborate with other scouts across the country. As technology has advanced, remote scouting has become an essential part of the NFL team's talent evaluation process.
How to get a job as a remote NFL scouting?
To become a remote NFL scout, candidates typically need experience in football analysis, strong knowledge of player evaluation, and proficiency with video analysis tools. Building a network within the football industry and gaining relevant certifications or internships can improve chances of securing such roles.
What is the difference between Remote Nfl Scouting vs Remote Football Analyst?
| Aspect | Remote Nfl Scouting | Remote Football Analyst |
|---|---|---|
| Credentials | Football scouting certifications, NFL knowledge | Football analysis certifications, sports analytics background |
| Work Environment | Remote, NFL teams, scouting agencies | Remote, media outlets, sports networks |
| Industry Usage | Player evaluation, draft decisions | Game analysis, broadcast commentary |
Remote Nfl Scouting focuses on evaluating players for NFL teams, requiring scouting expertise and NFL-specific knowledge. Remote Football Analysts analyze game footage and provide insights for media or teams. While both roles are remote and involve football expertise, scouting emphasizes player evaluation, whereas analysts focus on game analysis and commentary.
How to become a remote NFL scout?
To become a remote NFL scout, candidates typically need extensive knowledge of football, often gained through playing, coaching, or scouting experience. Strong analytical skills, familiarity with video analysis tools, and networking within the industry are important, and some roles may require a background in sports management or related certifications.
More about Remote Nfl Scouting jobs
What cities are hiring for Remote Nfl Scouting jobs?
Cities with the most Remote Nfl Scouting job openings:
What are the most commonly searched types of Nfl Scouting jobs?
The most popular types of Nfl Scouting jobs are:
What states have the most Remote Nfl Scouting jobs?
States with the most job openings for Remote Nfl Scouting jobs include:
What job categories do people searching Remote Nfl Scouting jobs look for?
The top searched job categories for Remote Nfl Scouting jobs are:
$160K - $190K/yr
Full-time
Medical, Retirement
Re-posted 6 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
Qualifications
Preferred
Benefits
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)
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)