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Entry Level College Football Analyst Jobs (NOW HIRING)

SumerSports LLC

Data Engineer

$160K - $190K/yr

MCP), or natural-language analytics. * Previous work with cloud infrastructure (AWS, GCP, or Azure ... General knowledge of American football, the NFL, and college football. * Background in data ...

Agupdate

Knowledge of analytics tools such as CrowdTangle, Google Analytics, Parse.ly and social engagement ... college football and basketball. Work week is typically Monday through Friday from April through ...

TriCom Quest

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E-Commerce Logistics Assistant

Long Beach, CA · On-site

$22 - $26/hr

Analyze freight costs, investigate chargebacks and invoice discrepancies, and support claims ... Entry Level, College Graduate, e-commerce logistics, ERP, WMS, TMS, chargebacks, wholesale Company ...

AllSTEM Connections

Assoc Operations Analys

Manhattan, NY · On-site

$45K/yr

Associate Operations Analyst Duration: 12 months Work Schedule: Part-time (20 hours/week) Pay Rate ... College Football • NBA & College Basketball (men's and women's) • MLB • Willingness to work ...

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How much do entry level college football analyst jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for entry level college football analyst in the United States is $27.77, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $30.05 per hour, depending on experience, location, and employer.

How do you become an entry level college football analyst?

To become an entry-level college football analyst, candidates typically need a strong understanding of football rules and strategies, often gained through a college degree in sports management, communications, or related fields. Experience with game analysis, data collection, and familiarity with tools like video editing software or statistical programs can be beneficial. Internships or volunteering with college teams or media outlets can also help build relevant experience and industry connections.
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Entry Level College Football Analyst jobs near you

Data Engineer

Remote

SumerSports LLC
See more jobs at SumerSports LLCexternal

$160K - $190K/yr

Full-time

Medical, Retirement

Re-posted 7 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 (United States))

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