Senior Data Platform Engineer - Scalable Pipelines

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

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.