Job description

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.

Requirements

Must-haves

Senior Data Platform Engineer
Location: Los Angeles, CA
Salary: $160-200k base
They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ci/cdpythonsqlawsazuregcp

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