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Tech Careers in Los Angeles, United States

Data Engineer in Los Angeles: Salary & Job Market Guide

Los Angeles is the global capital of entertainment and a sprawling, diverse economy spanning media, aerospace, trade, and a fast-growing tech scene in Silicon Beach.

Estimated mid-level salary: $128,000 - $182,000

Estimates shown in Canadian dollar equivalents for comparison across cities. Local offers in Los Angeles are typically made in USD.

The Los Angeles Job Market for Data Engineers

  • Entertainment and streaming giants: Disney, Netflix, Warner Bros
  • SpaceX and a resurgent aerospace and defence corridor
  • Largest port complex in the western hemisphere drives logistics jobs
  • Silicon Beach hosts Snap, Google, and hundreds of startups

Top hiring industries in Los Angeles: Entertainment, Aerospace, Tech, Trade & Logistics, Fashion. For a data engineer, that means tailoring your resume to the sectors doing the most local hiring, and using the exact skill keywords those employers screen for.

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About the Data Engineer Role

Data engineers build the pipelines and platforms that move, clean, and organize data so analysts and machine learning systems can use it. As every company becomes data-driven, they have become some of the most sought-after builders in tech.

Skills Los Angeles employers look for

  • SQL at an expert level
  • Python
  • Data pipelines (Airflow, dbt)
  • Data warehouses (Snowflake, BigQuery)
  • Spark and distributed processing
  • Data modelling
  • Cloud platforms

For the full career path, salary bands by seniority, and complete FAQs, see the main Data Engineer career guide.

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Data Engineer in Los Angeles: FAQs

How much does a Data Engineer make in Los Angeles?
A mid-level Data Engineer in Los Angeles typically earns between $128,000 and $182,000 per year (shown in Canadian dollar equivalents for comparison; local offers are usually made in USD). Senior professionals and leads earn meaningfully more, and pay varies with company size and specialization.
What is the job market like for a Data Engineer in Los Angeles?
Los Angeles is the global capital of entertainment and a sprawling, diverse economy spanning media, aerospace, trade, and a fast-growing tech scene in Silicon Beach. Key strengths of the local market include: entertainment and streaming giants: disney, netflix, warner bros; spacex and a resurgent aerospace and defence corridor. The strongest hiring sectors are Entertainment, Aerospace, Tech.
Is data engineering harder to enter than data science?
It is usually easier, because the market is less flooded and the skills are more concrete. Employers need people who can write solid SQL and Python and keep pipelines running; the interview bar is practical rather than research-oriented. Many frustrated data science applicants find offers faster after pivoting to data engineering.
What does a data engineering portfolio project look like?
An end-to-end pipeline: ingest a public API or dataset on a schedule, transform it with dbt or Spark, load it into a warehouse, and put a dashboard or data quality checks on top. Document the architecture in the README. This mirrors the actual job far better than any notebook analysis.

Data Engineer Jobs in Other Cities

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