Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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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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