Senior Data Engineer: Power BI, MLOps & On-Call — San Jose

Egreenservices; San Jose (CA); On-site; USD 152,000 - 211,000; Full time

Job summary

HFF is seeking a senior Data Engineer in San Jose, CA, for a full-time role with a salary range of $152,000 to $211,000. The position emphasizes building robust data pipelines, integrating tools, and maintaining production reliability.

You will mentor teammates and contribute to a culture of transparency and continuous improvement. Expect mentorship, comprehensive benefits, and the ability to work with flexible arrangements in the San Jose area as the team scales data capabilities across the

Qualifications

• Hands-on MLOps experience and ability to document work as it’s done.
• Strong willingness to learn and adapt to shifting requirements.
• Collaborative mindset with ability to share credit and absorb blame.
• Able to prototype Power BI ideas quickly and validate them.

Responsibilities

• Design Power BI APIs for San Jose teams; enable cross-team usage.
• Troubleshoot and resolve production incidents across Innovation-based apps.
• Integrate third-party services and internal tools into the HFF stack.
• Prototype rough Power BI ideas quickly and select the ones to keep.
• Track and report on key performance metrics for technology services.
• Trace a technology number through Hypothesis Testing to verify results.
• Handover Kafka runbooks to on-call engineers.

Skills

Power BI APIs

MLOps

Documentation

Collaboration

Tools

Kafka

Hypothesis Testing

Job description

HFF is seeking a senior Data Engineer in San Jose, CA, for a full-time role with a salary range of $152,000 to $211,000. The position emphasizes building robust data pipelines, integrating tools, and maintaining production reliability.

You will mentor teammates and contribute to a culture of transparency and continuous improvement. Expect mentorship, comprehensive benefits, and the ability to work with flexible arrangements in the San Jose area as the team scales data capabilities across the