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HomeCompaniesUnited Talent AgencySenior Data Engineer

Senior Data Engineer

United Talent Agency · Los Angeles, CA · On Site · Active · $185,000–$200,000 / year · Ashby

Job facts

FieldValue
CompanyUnited Talent Agency
TitleSenior Data Engineer
Normalized title-
Department / teamUnited Talent Agency / United Talent Agency, Technology
LocationLos Angeles, CA, United States
Work modelOn Site
Employment typeFull Time
Salary$185,000–$200,000 / year
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from United Talent Agency.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Los Angeles.Open
Department jobsActive postings in United Talent Agency.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyUnited Talent Agency
Source9cde1455-1478-4038-8ab5-115b0178765c
ATS providerAshby

Description

UTA seeks a Senior Data Engineer to architect and elevate the modern data platforms that fuel business intelligence, advanced analytics, and real-time decision-making across the organization. In this highly visible, hands-on role, you’ll tackle complex data challenges, design and scale robust pipelines, and collaborate closely with cross-functional partners to transform raw data into powerful, actionable insights that drive the business forward. The salary range for this role is $185,000 to $200,000 commensurate with experience and skills. What You Will Do Data Architecture & Engineering Leadership Design, develop, and maintain scalable, secure, and high-performing data warehouse and analytics solutions (e.g., Snowflake, Redshift, BigQuery, Databricks) that consolidate data from diverse business domains and sources into a single, trusted environment Build, optimize, and support ETL/ELT pipelines and orchestration frameworks to pull data from multiple systems and data types into unified models that power reporting, analytics, and machine learning workflows Contribute to the design and implementation of CI/CD pipelines for data infrastructure, ensuring reliable deployments and monitoring. Support batch and near-real-time data processing patterns as the data ecosystem evolves. Collaboration & Strategy Partner with stakeholders across engineering, product, analytics, and machine learning to translate business requirements into well-designed data solutions. Participate in cross-functional initiatives and contribute technical expertise to data platform strategy and roadmap discussions. Work closely with analytics and BI teams to ensure data is reliable, well-modeled, and easy to consume. Quality, Reliability & Operations Ensure data quality, observability, and reliability across pipelines and platforms. Participate in incident response, root cause analysis, and remediation for data-related issues. Apply best practices for performance tuning, cost optimization, and scalability in cloud environments. Mentorship & Best Practices Mentor junior engineers and contribute to team standards around clean code, documentations, and data engineering best practices Promote a culture of operational excellence, testing, and continuous improvement What You Will Need Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience. 6+ years of engineering experience, with 3–5+ years focused on data engineering, analytics platforms, or big data systems. Advanced proficiency in SQL and Python; experience with Spark or distributed data processing is a plus. Strong experience with modern data warehouses and data lake platforms (e.g., Snowflake, Redshift, BigQuery, Databricks, Delta Lake). Hands-on experience building ETL/ELT pipelines using tools such as dbt, Apache Airflow, or similar orchestration frameworks. Solid understanding of data modeling, schema design, partitioning strategies, and performance optimization. Experience working with cloud platforms (AWS preferred) and an understanding of security and compliance best practices. Familiarity with BI and visualization tools (e.g., Looker, Tableau, Power BI). Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders. What You Will Get The unique and exciting opportunity to work at one of a leading global entertainment companies Access to the tools, leadership, and resources you will need to create and drive a center of excellence The opportunity to do the best work of your career Work in an inclusive and diverse company culture Competitive programs to support your well-being Experience working in a collaborative environment with room to grow About UTA UTA is a premier global talent agency built for the future of media and entertainment. The agency's diversified platform and best-in-class, client-first approach is innovative, collaborative, and positioned to lead in an evolving market. UTA represents the most celebrated artists, creatives, and brands, from icons and legends to next-generation talent. Its integrated capabilities span film and television, music, comedy, creators, sports, brands, news, publishing, speakers, theater, and more. It is based in Los Angeles with offices in the U.S., London, and Munich. For more information: https://www.unitedtalent.com/about/ UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers. https://www.unitedtalent.com/privacy-policy

Full job record

Job IDce13e78d15d28c2a0815cdc8682db66d483d6b52
Org ID35e5282a-8e8b-48d9-a203-90d506b64dbc
Source ID9cde1455-1478-4038-8ab5-115b0178765c
Board ID9cde1455-1478-4038-8ab5-115b0178765c
Providerashby
Provider Job Key2e1d9785-8fc3-469f-90a3-9985209a3cad
TitleSenior Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextLos Angeles, CA
DepartmentUnited Talent Agency
TeamUnited Talent Agency, Technology
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CityLos Angeles
Salary Rawsalary range for this role is $185,000 to $200,000 commensurate with experience and skills
Salary Min185,000
Salary Max200,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.ashbyhq.com/united-talent-agency/2e1d9785-8fc3-469f-90a3-9985209a3cad
Apply URLhttps://jobs.ashbyhq.com/united-talent-agency/2e1d9785-8fc3-469f-90a3-9985209a3cad/application
First Seen At2026-05-29 06:38:45Z
Last Seen At2026-06-06 09:24:26Z
Last Checked At2026-06-06 09:24:26Z
Last Changed At2026-05-29 06:38:45Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=united-talent-agency/date=2026-06-06/2026-06-06T09-24-00-759Z-ef31fd2033d56809a7fee38cf47b24b154124b46c06292500216cfdf3199ddaf.json
Event Fields
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  "last_changed_at": "2026-05-29T06:38:45.625Z",
  "active_status": "active"
}
Parsed Structured
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    "region": "CA",
    "country": "United States",
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  "salary_max": 200000,
  "salary_min": 185000,
  "inferred_at": "2026-06-06T09:24:26.164Z",
  "launch_scope": {
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  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
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  "team": "United Talent Agency, Technology",
  "title": "Senior Data Engineer",
  "jobUrl": "https://jobs.ashbyhq.com/united-talent-agency/2e1d9785-8fc3-469f-90a3-9985209a3cad",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/united-talent-agency/2e1d9785-8fc3-469f-90a3-9985209a3cad/application",
  "isListed": true,
  "isRemote": false,
  "location": "Los Angeles, CA",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "United Talent Agency",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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