Sr Data Engineer, AIML

What you'll do

• Design, optimize, and maintain large-scale batch and streaming data pipelines and cloud data architectures.
• Develop BigQuery data models and ETL/ELT workflows, integrating data while ensuring quality, governance, and security.
• Collaborate with data and product teams; monitor and troubleshoot systems for performance, cost, and reliability.

What they ask for

• 10+ years in data engineering, backend engineering, or distributed systems.
• Hands-on experience building large-scale batch and streaming pipelines using Python and distributed systems.
• Expertise in GCP data services, including BigQuery, Dataflow, Pub/Sub, and Composer, plus ETL/ELT and event-driven architectures.
• Proficiency in Python, version control, CI/CD, testing, and code reviews; bachelor’s or master’s degree in a related technical field or equivalent practical experience.

Nice to have

• Experience with data platforms or data mesh, data governance, lineage, or metadata management.
• Experience supporting ML/MLOps workflows or familiarity with Generative AI/LLM systems.

Pay

$184,700 and $324,800 USD base salary

Tools

Google Cloud Dataflow, Apache Beam, BigQuery, Pub/Sub, Cloud Storage, Dataproc, Composer, Python

AI focus

Build data infrastructure supporting the Apple Foundation Model lifecycle and ML use cases; preferred experience includes ML pipelines, MLOps, Generative AI/LLM data workflows, agentic pipelines, and embedding/vector-based retrieval.