Data Engineer
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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.
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