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Senior Data Platform Engineer

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Onsite

Senior Data Platform Engineer

Harnham

Senior Data Platform Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonAWSdbtPySparkAzure

3 months ago

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Important information


Contract type:

Permanent

Salary:

$160,000 – $200,000 / year

Location:

Los Angeles, CA, USA

Work mode:

Onsite

Published on:

12 August 2026

What they need


Senior Data Platform Engineer

Location: Los Angeles, CA

Salary: $160-200k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.

The Role

As a Senior Engineer on the Data Platform team, you will:

  • Design and build scalable data pipelines and transformation frameworks
  • Own ingestion and egress systems that unify multiple operational data sources
  • Develop reliable, secure data models that power internal data products and applications
  • Partner with engineering, product, and operations to translate business needs into production-grade systems
  • Advocate for best practices across testing, CI/CD, data modeling, and security
  • Debug and optimize complex transformation pipelines in production environments

What They’re Looking For

  • 5+ years of experience in data engineering or backend engineering
  • Strong programming skills in Python or similar languages
  • Experience with Spark, PySpark, SQL, and dbt
  • Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
  • Experience with containerization and modern deployment practices
  • Ability to operate autonomously in fast-moving environments
  • Strong ownership mindset and attention to security best practices
  • Must be a U.S. Person due to export-controlled information requirements

This is a high-impact role focused on building durable data systems that directly support operational execution at scale.

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