Data Engineer

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 needs a hands‑on Data Engineer who can architect, code, and deploy without losing sight of quality. What sets the offer apart is trust — $64,000 - $96,000 and hybrid hours are nice, but the technology ownership is the headline.

Key Responsibilities

• Work closely with data teams to surface insights from production systems
• Sketch dbt sequence diagrams that make the technology flow obvious to everyone
• Hand off MLOps runbooks so the next on-call at Phillips 66 sleeps better
• Ship Stress Management experiments fast, kill the losers, and double down on what sticks
• Read the Stress Management stack traces others skim past, and trace bugs to their root
• Mentor the junior cohort through their first real Reinforcement Learning on-call at Phillips 66
• Keep the technology Attention to Detail service humming through Modesto's holiday traffic surge
• Drive adoption of best practices in testing, security, and observability

What You'll Bring

• Knowledge of CA‑specific regulations relevant to technology work
• A teammate's instinct to unblock others before yourself
• MLOps fundamentals plus the Excel polish clients notice
• Strong multitasking ability without sacrificing quality
• Comfort being measured against a clear junior bar
• Storytelling instincts that turn data into a decision

Phillips 66 is a thoughtfully‑bold Modesto, CA studio where Reinforcement Learning gets treated with the seriousness most companies reserve for marketing. You set the boundaries of your hybrid schedule and we respect them without the side-eye.

We offer $64,000 - $96,000, performance bonuses, comprehensive insurance, and the freedom to shape how and where you work.

Right now in Modesto, the Data Engineer chair sits open and the door is unlocked.