Staff Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

108% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Staff Data Engineer Los Angeles, California, United States About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role In the role of Staff Data Engineer for Concepts Lab , you will report to the VP of the Concepts Lab. We are considering applicants for the location of Los Angeles, CA (onsite). As the Staff Data Engineer for Concepts Lab , you will be the technical anchor for everything data in the lab: designing and building the pipelines, reports, and tooling that turn raw signals from experiments into insights that shape our roadmap. You will move fluidly between hands-on analytics work, and partnership with PMs, designers, and engineers across the company. Success in your first year looks like a Concepts Lab where every new idea has a clear, trustworthy path from question to data to decision and where the team ships faster because of the foundation you have built. Core Areas of Responsibility - Own the reliability of AI systems in the lab, including designing eval frameworks, instrumenting observability for LLM-based pipelines, and building the validation and structured-output layers that make

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