Hybrid Principal Data Engineer - Data Platform Pipelines

Saven Technologies; San Diego (CA); Hybrid; USD 190,000 - 230,000; Full time

Job summary

Saven Technologies in San Diego, CA seeks a Principal Data Engineer to lead data architecture and scalable pipelines in a research-driven environment, blending instrumentation, sensing, and simulation.

Collaborate with lab owners, ML scientists, and IT to deliver secure, maintainable data platforms, govern data with lineage and access controls, and mentor teams; role is flexible with potential full-time conversion.

Qualifications

• 10+ years of experience in data engineering or data platforms.
• Strong Python development and data tooling expertise.
• Experience with Azure, Databricks, Spark, Kubernetes, and data lakes.
• Familiarity with data governance, lineage, security, and metadata.
• Excellent communication and collaboration skills.

Responsibilities

• Define and evolve data architecture strategy for analytics and ML workflows.
• Build and integrate pipelines across research prototypes and simulations.
• Establish data governance, lineage, metadata, security, and lifecycle policies.
• Monitor pipelines, ensure quality, reliability, and cost efficiency.
• Collaborate with Research, Engineering, and IT to align on data platform.
• Enable integration of physics-based models, AI, HPC resources.
• Document architecture and communicate concepts clearly.
• Work independently and with teams to meet objectives.
• Flex role with potential transition to full-time.
• Perform other duties as assigned.

Skills

Python programming

Data pipelines

Data architecture

Cross-functional collaboration

Communication

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Azure

Azure Databricks

Apache Spark

Kubernetes

Data lake architectures

Job description

Saven Technologies in San Diego, CA seeks a Principal Data Engineer to lead data architecture and scalable pipelines in a research-driven environment, blending instrumentation, sensing, and simulation.

Collaborate with lab owners, ML scientists, and IT to deliver secure, maintainable data platforms, govern data with lineage and access controls, and mentor teams; role is flexible with potential full-time conversion.