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Ai Data Developer Jobs in El Segundo, CA (NOW HIRING)

Senior Manager, Data Engineering

Los Angeles, CA ยท On-site

$114K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Champion engineering best practices for AI-ready data foundations, including data quality ... completeness, consistency, lineage, customer identity resolution, and trusted order/product ...

Senior Manager, Data Engineering

Santa Monica, CA ยท On-site

$119K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Champion engineering best practices for AI-ready data foundations, including data quality ... completeness, consistency, lineage, customer identity resolution, and trusted order/product ...

Strong understanding of AI/ML and advanced analytics architecture requirements including AI-ready data pipelines, semantic modeling, feature engineering support, and scalable analytical data ...

Software Engineer, Data

Los Angeles, CA ยท On-site

$180K - $220K/yr

  • Medical

  • Retirement

  • PTO

This role is not just about moving data-it's about enabling AI models to function in real-time ... Collaborate with ML engineers to implement data structures and APIs for new, exciting features like ...

Lead Data Scientist (Context Engineering)

El Segundo, CA

$154K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role Summary Rivian's AI team sits within the Analytics function of the Customer organization--the ... As a Staff/Lead Data Scientist focused on Context Engineering, you will design the knowledge layer ...

Data Management Engineer - OpenText

Los Angeles, CA ยท On-site

$123K - $148K/yr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Showing results 21-40

Ai Data Developer information

See El Segundo, CA salary details

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How much do ai data developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai data developer in El Segundo, CA is $60.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $71.68 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

What are popular job titles related to Ai Data Developer jobs in El Segundo, CA?

For Ai Data Developer jobs in El Segundo, CA, the most frequently searched job titles are:

What job categories do people searching Ai Data Developer jobs in El Segundo, CA look for?

The top searched job categories for Ai Data Developer jobs in El Segundo, CA are:

What cities near El Segundo, CA are hiring for Ai Data Developer jobs?

Cities near El Segundo, CA with the most Ai Data Developer job openings:

Infographic showing various Ai Data Developer job openings in El Segundo, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,870 per year, or $60.5 per hour.

Senior Manager, Data Engineering

Umusic

Los Angeles, CA โ€ข On-site

$114K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

We are UMG, the Universal Music Group. We are the world's leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.

How we LEAD:

We are seeking an experienced and driven Senior Data Engineering Manager - Enterprise Data Products within the Global Data & Analytics team.

You are passionate about leading teams that deliver scalable, reliable, and AI-ready data platforms that power enterprise decision-making, advanced analytics, and ecommerce growth. You understand that modern data platforms must not only support reporting, but also enable machine learning, generative AI, and intelligent applications through high-quality, well-governed, semantically consistent enterprise data.

In this role, you will lead teams of data engineers responsible for delivering domain-specific data products, semantic layers, and data marts that serve as trusted, AI-ready sources of truth across the organization, while shaping how data is structured, governed, and exposed to support AI/ML use cases, feature engineering, and semantic consistency across tools and applications.

How you'll CREATE:

  • Lead and manage a team of data engineers delivering enterprise-grade data products, data marts, and AI-ready data assets.

  • Lead the strategic design and delivery of scalable data pipelines and architectures that support commerce analytics, machine learning, and AI workloads.

  • Partner with Ecommerce, Product, Growth/Marketing, Finance, and Data Science stakeholders to enable AI use cases, feature stores, and model-ready commerce datasets.

  • Champion engineering best practices for AI-ready data foundations, including data quality, completeness, consistency, lineage, customer identity resolution, and trusted order/product/customer domains.

  • Lead development and implementation of semantic layers that standardize business definitions.

  • Ensure enterprise data is structured and documented to support LLMs, knowledge graphs, personalization, forecasting, and downstream AI applications.

  • Own platform reliability, including SLAs, monitoring, observability, and incident management for ecommerce analytics and AI data pipelines.

  • Lead the implementation and enforcement of data contracts and schema governance to improve stability and usability for AI and analytics consumers.

  • Lead adoption of modern data architecture patterns (lakehouse, real-time streaming, batch processing, feature stores, data monitoring, and observability).

  • Guide platform optimization for performance, scalability, freshness, and cost while supporting high-volume ecommerce data and compute-intensive AI workloads.

  • Collaborate with governance teams to ensure data is discoverable, explainable, and compliant, especially for AI use cases.

  • Mentor and develop engineering talent, fostering expertise in data engineering and AI data readiness principles.

Bring your VIBE:

  • 10+ years of data engineering experience, with 3+ years in a leadership role and direct ownership of ecommerce, digital commerce, DTC, retail, or marketplace data domains.

  • Deep knowledge of modern data architectures (lakehouse, real-time streaming, batch processing).

  • Strong understanding of data modeling, including dimensional modeling, feature engineering, and semantic layer design.

  • Proven leadership experience delivering AI-ready data platforms and ML/AI workflows, including feature stores, training datasets, model data pipelines, personalization, demand forecasting, churn/retention, attribution, and other generative AI initiatives.

  • Experience driving data quality, governance, and observability frameworks critical for AI trust and explainability.

  • Demonstrated ability to translate business, ecommerce, analytics, and AI requirements into scalable data engineering solutions.

  • Strategic exposure to AdTech and MarTech, with experience in the music/entertainment industry preferred, and the ability to connect audience engagement, marketing technology, and data-driven growth initiatives

  • Experience with cloud ecosystems (AWS, Azure, or GCP) and big data technologies (Spark, Snowflake, Databricks, etc.). GCP is a strong plus.

  • Strong leadership, stakeholder management, and cross-functional collaboration skills.

  • Awareness of data governance and privacy principles, including customer data privacy, is preferred.

  • Ability to lead effectively in a fast-paced environment, balancing priorities while maintaining quality, stakeholder alignment, and delivery discipline.

  • Ability to lead the creation of impactful executive presentations that communicate strategy, tradeoffs, roadmap decisions, and measurable business outcomes.

Perks Playlist:

Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren't just values-they're how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):

  • Comprehensive medical, dental, and vision coverage

  • Including 100% coverage for out-patient in-network mental health services

  • Fertility coverage for eligible medical plan participants

  • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)

  • Student Loan Repayment Assistance and Tuition Reimbursement

  • 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution

A variety of ways to prioritize much-needed time away from work including:

  • Flexible Paid Time Off (PTO) for exempt employees

  • 3-weeks PTO for non-exempt employees

  • 2-weeks paid Winter Break

  • 10 Company Holidays (including Juneteenth and Wellbeing Day)

  • Summer Fridays (between Memorial Day and Labor Day)

  • Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.

Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.
Universal Music Group is an Equal Opportunity Employer

We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah.


Please note, UMG is not enrolled in E-Verify in California and New York, and cannot support employment of candidates whose employer must enroll in E-Verify, for example candidates on STEM-OPT.

For more information, please click on the following links.

E-Verify Participation Poster:English / Spanish

E-Verify Right to Work Poster:English|Spanish


Job Category:Data, Analytics & Business Intelligence

Salary Range:

$ 121,500 - $200,000

The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.