Senior / Staff Data Engineer (AI)

Location: On-site in Sunnyvale, California, United States

Base salary: $170,000–$235,000 annually, with potential bonus and equity.

Company

hirify.global builds large-scale AI hardware and computing systems designed to deliver high-speed model training and inference.

What you will do

• Design, build, and operate scalable batch and streaming data pipelines.
• Own ETL/ELT architecture, orchestration, warehouse models, and reusable data-engineering frameworks.
• Lead data migrations, schema evolution, backfills, retention, archival, and recovery.
• Define data contracts, quality checks, lineage, monitoring, alerting, SLAs/SLOs, and incident-response practices.
• Improve platform performance, reliability, scalability, and cost efficiency.
• Partner with analytics, software, infrastructure, and business stakeholders while reviewing designs, mentoring engineers, and guiding architectural decisions.

Requirements

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
• 5+ years of relevant experience building and operating production data pipelines and warehouse systems at scale.
• Strong Python and SQL skills, including application code, transformations, query tuning, and data modeling.
• Deep knowledge of ETL/ELT, orchestration, idempotency, backfills, schema evolution, partitioning, and recovery.
• Experience with modern cloud warehouses or lakehouses and AWS, GCP, or Azure.
• Experience with testing, data quality, observability, lineage, production support, system design, and cross-functional collaboration.

Nice to have

• Experience with Databricks, Snowflake, BigQuery, or Redshift.
• Experience with Airflow, Dagster, Spark, Flink, Beam, or Kafka.
• Experience supporting batch and near-real-time use cases.
• Familiarity with governance, cataloging, access controls, data lifecycle management, infrastructure as code, CI/CD, containers, and reliability engineering.

Culture & Benefits

• Work on AI hardware and high-performance computing systems beyond traditional GPU constraints.
• Opportunities to publish and open-source AI research.
• Startup vitality combined with job stability.
• Simple, non-corporate culture that respects individual beliefs.
• Continuous learning, growth, and support in an inclusive work environment.