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Internship Aws Sports Analytics Jobs (NOW HIRING)

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments.

Purpose of this Internship The Academy Scouting & Video Analysis Intern will gain hands-on ... Pursuing a degree in Sport Management, Sports Analytics, Performance Analysis, Coaching, Data ...

New

Experience teaching applied statistics, data analysis, and sport analytics within sport science or ... such as internships or applied analytics projects, collaborating with community and industry ...

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Internship Aws Sports Analytics information

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How much do internship aws sports analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship aws sports analytics in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.
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What cities are hiring for Internship Aws Sports Analytics jobs? Cities with the most Internship Aws Sports Analytics job openings:
What are the most commonly searched types of Aws Sports Analytics jobs? The most popular types of Aws Sports Analytics jobs are:
What states have the most Internship Aws Sports Analytics jobs? States with the most job openings for Internship Aws Sports Analytics jobs include:
Infographic showing various Internship Aws Sports Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

$117K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

Job description:
We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client's vision for a cutting-edge, cloud-native data ecosystem. You will architect and build scalable data infrastructure that transforms raw data into high-value assets, powering analytics across digital products, fan engagement, and marketing domains. Your work will directly contribute to the development of a world-class customer data platform.
Responsibilities:
  1. Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating
  2. Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift
  3. Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth
  4. Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers
  5. Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation
  6. Ensure data quality, governance alignment, and operational readiness of data pipelines
  7. Apply software engineering best practices such as version control, CI/CD, and code reviews
  8. Optimize SQL queries for performance, scalability, and maintainability across large datasets
  9. Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views
  10. Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools
  11. Support Agile development processes and collaborate with offshore teams

Required Qualifications:
    1. Bachelor's or Master's (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent
    2. 5+ years of experience in data engineering and analytics on modern data platforms
    3. 3+ years' extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros
    4. Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models
    5. Understand change data capture concepts
    6. Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift)
    7. Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD
    8. Python proficiency or general knowledge of Jinja templating in Python and/or PySpark
    9. Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer
    10. A great teammate and self-starter, strong detail orientation is critical in this role.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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