Data Engineer

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

Code that ships to millions starts as a pull request on someone's screen, and at HFF we want that someone to be our next Data Engineer. We're hiring a senior Data Engineer to join HFF on a full-time basis, with $152,000 - $211,000 on offer and genuine room to advance.

Key Responsibilities

• Design Power BI APIs other San Jose, CA teams will still thank you for next year
• Troubleshoot and resolve production incidents across Innovation-based applications
• Integrate third-party services and internal tools into the HFF stack
• Prototype rough Power BI ideas fast, then decide which earn a place in HFF's stack
• Track and report on key performance metrics for technology services
• Trace a technology number back through Hypothesis Testing services until it finally adds up
• Hand off Kafka runbooks so the next on-call at HFF sleeps better

What You'll Bring

• Hands-on command of MLOps, with Multitasking as a close second
• The discipline to document while it's fresh, not after it's forgotten
• A purpose-led attitude and eagerness to learn new skills
• Adaptability and resilience when facing shifting requirements
• A collaborator's reflex to share credit and absorb blame

HFF is the impact-driven company technology professionals across CA reach for when the cheap option finally breaks. Transparency is a habit, so roadmaps, tradeoffs, and even mistakes get shared openly.

At HFF, $152,000 - $211,000 is just the opener; the mentorship, benefits, and San Jose, CA flexibility are where the offer gets good.

We are filling this Data Engineer seat now, with onboarding planned for the near term.

Whether Vector Databases or Multitasking is your strong suit, this Data Engineer seat has room for both.