Senior Data Platform Engineer

Harnham; Los Angeles (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A mission-driven advanced technology company in Los Angeles is hiring a Senior Data Platform Engineer to design and scale the core data infrastructure for their operations. This high-impact role involves building scalable data pipelines and developing secure data models that enhance decision-making across the organization. Candidates should have over 5 years of experience in data engineering, strong programming skills in Python, and familiarity with cloud environments. This opportunity emphasizes operational excellence and collaboration with cross-functional teams.

Qualifications

• 5+ years of experience in data engineering or backend engineering.
• Strong programming skills in Python or similar languages.
• Experience with Spark, SQL, and dbt.
• Familiarity with large-scale data platforms and cloud environments.

Responsibilities

• 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.

Skills

Data engineering

Python

Spark

SQL

Containerization

Cloud environments (AWS, Azure, GCP)

Job description

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.