Principal Data Engineer Jobs

Orbis Consultants

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

A VC-backed conversational AI scale-up is expanding its engineering team and is looking for a Principal Data Engineer with deep Spark expertise to help architect and scale the data backbone behind cutting-edge AI-driven systems.

Job Responsibility:

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

Requirements:

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark/PySpark
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Nice to have:

Experience in high-growth, early-stage environments
Familiarity with MLOps and deploying ML models into production data workflows
A problem-solver at heart, excited by innovation and complex challenges

What we offer:

Fully remote
great equity
the chance to join a rocketship

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Principal Data Engineer