Data Engineer

Los Angeles Chargers; El Segundo (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Los Angeles Chargers are seeking a Data Engineer to join the Strategy & Analytics team in El Segundo. You will design and maintain data pipelines, build a scalable enterprise data platform, and contribute to AI initiatives leveraging LLMs to support sales, marketing, and operations.

The role offers exposure to modern data engineering, cloud technologies, and applied AI in a collaborative environment, with opportunities to work across BI, Sales, Marketing, and IT teams.

Qualifications

• 1–3 years of experience in data engineering or related field.
• Strong SQL and Python programming skills.
• Understanding of data engineering fundamentals: relational databases, data modeling, ETL/ELT.

Responsibilities

• Design, build, and maintain data pipelines and curated datasets for analysis and operations.
• Evolve the enterprise data platform for reliability, scalability, and accessibility.
• Collaborate with business stakeholders to deliver practical data solutions.
• Assist in AI-powered applications using LLMs to support sales, marketing, and operations.
• Integrate internal data sources with AI services and APIs to automate workflows.
• Monitor data quality, performance, and governance across the platform.

Skills

SQL

Python

Data modeling

ETL/ELT

Cloud platforms

Azure

Git

APIs

LLMs

Communication

Education

Bachelor's degree in Computer Science / Software Engineering / Data Engineering / Information Systems

Tools

Microsoft Azure

Microsoft Fabric

Azure AI Foundry

Tableau/Power BI

REST APIs

Job description

The Los Angeles Chargers are looking for a Data Engineer to join our Strategy & Analytics team. This is an opportunity for an early-career engineer who enjoys solving technical problems, learning quickly, and building solutions that have a direct impact on the business.

You'll help build and evolve our enterprise data platform while contributing to AI initiatives that leverage large language models (LLMs) to support sales, marketing, and other business operations. This role offers broad exposure to modern data engineering, cloud technologies, and applied AI in a collaborative environment.

Essential Duties And Responsibilities

• Design, build, and maintain data pipelines and curated datasets that support analytics, reporting, and business operations.
• Help evolve our enterprise data platform to ensure reliable, scalable, and accessible data across the organization.
• Partner with business stakeholders to understand data needs and deliver practical, scalable solutions.
• Assist in developing AI-powered applications using Large Language Models (LLMs) to support sales, marketing, and other business operations.
• Integrate internal data sources with AI services and APIs to automate workflows and improve business processes.
• Monitor and improve data quality, performance, and governance across the data platform.
• Evaluate and implement new technologies that enhance our data platform and AI capabilities.
• Collaborate with teammates across Business Intelligence, Sales, Marketing, and Information Technology to deliver impactful solutions.

Skills & Qualifications

• 1-3 years of experience
• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field.
• Strong SQL and Python programming skills.
• Understanding of data engineering fundamentals, including relational databases, data modeling, and ETL/ELT processes.
• Familiarity with cloud platforms; experience with Microsoft Azure, Microsoft Fabric, or Azure AI Foundry is a plus.
• Experience with Git, APIs, and collaborative software development workflows is preferred.
• Interest or experience in generative AI, including Large Language Models (LLMs), AI APIs, or prompt engineering.
• Strong analytical and problem-solving skills with a willingness to learn new technologies and tackle unfamiliar challenges.
• Ability to communicate effectively and collaborate with both technical and non-technical stakeholders.

Technologies You’ll Work With

• SQL
• Python
• Microsoft Azure
• Microsoft Fabric
• Azure AI Foundry
• Tableau / Power BI
• Git
• REST APIs

The Los Angeles Chargers are committed to building a diverse, equitable and inclusive work environment that reflects our incredibly diverse fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to ancestry, race, color, religion, sex, gender, gender identity, gender expression, national origin, age, disability, medical condition, marital status, military or veteran status, genetic information, sexual orientation, or other status protected by applicable federal, state, or local law. We believe diversity and inclusion among our employees is critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.