Data Engineer: MLOps & Insight Architect (Hybrid)

Energy Innovation Corp; Modesto (CA); Hybrid; USD 64,000 - 96,000; Full time

Benefits offered by this job

Performance bonuses

Comprehensive insurance

Flexible hybrid schedule

Job summary

Phillips 66 in Modesto, CA seeks a hands-on Data Engineer to architect, code, and deploy with a focus on quality and ownership. The role offers a hybrid schedule with a salary between $64,000 and $96,000, plus performance bonuses and comprehensive insurance.

You will surface insights from production systems, sketch dbt flows, hand off MLOps runbooks, and drive adoption of testing, security, and observability principles across Modesto and remote-friendly teams.

Qualifications

• Knowledge of CA-specific regulations relevant to technology work.
• Team-oriented with a drive to unblock others.
• MLOps fundamentals and Excel polish.
• Storytelling to turn data into decisions.
• Strong multitasking without sacrificing quality.
• Comfort being measured against a junior bar.

Responsibilities

• Collaborate with data teams to surface insights from production systems.
• Sketch dbt sequence diagrams to clarify technology flows.
• Hand off MLOps runbooks for on-call readiness.
• Ship experiments quickly, discard losers, and double down on what sticks.
• Read Stress Management stack traces and trace bugs to root cause.
• Mentor juniors on Reinforcement Learning on-call at Phillips 66.
• Maintain reliability through Modesto's holiday traffic surge.
• Drive adoption of testing, security, and observability best practices.

Skills

MLOps fundamentals

Excel proficiency

Multitasking

Attention to detail

Storytelling with data

CA regulations knowledge

Job description

Phillips 66 in Modesto, CA seeks a hands-on Data Engineer to architect, code, and deploy with a focus on quality and ownership. The role offers a hybrid schedule with a salary between $64,000 and $96,000, plus performance bonuses and comprehensive insurance.

You will surface insights from production systems, sketch dbt flows, hand off MLOps runbooks, and drive adoption of testing, security, and observability principles across Modesto and remote-friendly teams.