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Pepsico Engineering Jobs in California (NOW HIRING)

Wiliot

Data Solutions Analyst

San Francisco, CA · On-site

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo. We are ... engineering to ensure successful deployments and meaningful data outcomes. This is a highly ...

Wiliot

Data Solutions Analyst

San Mateo, CA · On-site

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo. We are ... engineering to ensure successful deployments and meaningful data outcomes. This is a highly ...

Wiliot

Data Solutions Analyst

San Mateo, CA · On-site

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo. We are ... engineering to ensure successful deployments and meaningful data outcomes. This is a highly ...

Wiliot

Data Solutions Analyst

San Francisco, CA · On-site

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo. We are ... engineering to ensure successful deployments and meaningful data outcomes. This is a highly ...

Arize AI

AI Solutions Manager, West

San Francisco, CA · On-site +1

$140K - $175K/yr

That's where we come in. Arize AI is the leading AI & Agent Engineering observability and ... Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The ...

Squint AI

AI Operations Lead

San Francisco, CA · On-site

$150K - $190K/yr

Companies such as PepsiCo, Continental Tire, and Tenneco use Squint to capture and activate their ... You can talk to both a technical engineer and a non-technical operator about the same problem.

Squint AI

Talent Lead

San Francisco, CA · On-site

$180K - $215K/yr

Companies such as PepsiCo, Continental Tire, and Tenneco use Squint to capture and activate their ... Engineering, GTM, and beyond. * Build the machine: You'll stand up the process, tooling (ATS ...

Squint AI

IT & Security Ops Manager

San Francisco, CA · On-site

$120K - $150K/yr

Companies such as PepsiCo, Continental Tire, and Tenneco use Squint to capture and activate their ... You care about security fundamentals without needing to be a full-time security engineer. * You're ...

Aonic

AI-Native Founder's Associate

San Francisco, CA

$120K - $160K/yr

Degree from a top-tier university in engineering, science, math, business, or a related field. * Candidates with a business background must have self-taught at least light forms of coding and ...

New

Squint AI

Deployment Partner

San Francisco, CA · On-site

$100K - $120K/yr

Companies such as PepsiCo, Continental Tire, and Tenneco use Squint to capture and activate their ... No engineering or coding background required. Curiosity about how software and AI create value on ...

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Pepsico Engineering information

What is a Pepsico Engineering?

A PepsiCo Engineering job involves designing, maintaining, and improving the manufacturing, packaging, and distribution processes of PepsiCo products. Engineers in this role work on optimizing production efficiency, ensuring quality control, and implementing new technologies to enhance operations. They may specialize in mechanical, electrical, industrial, or automation engineering, depending on the specific needs of the facility. This role requires problem-solving skills, technical expertise, and collaboration with cross-functional teams to drive continuous improvement.

What kinds of projects and daily responsibilities can I expect as a Pepsico Engineering team member?

As part of the Pepsico Engineering team, you'll likely oversee process improvements, manage equipment maintenance or installation, and support production teams to enhance efficiency and product quality. Daily tasks can include troubleshooting machinery, collaborating with operators and other engineers, monitoring key performance indicators, and implementing safety or quality initiatives. Project work often involves leading cross-functional teams on upgrades, sustainability efforts, or cost-saving innovations. This dynamic environment provides opportunities to take ownership of impactful projects while developing technical and leadership skills that can propel your career forward within Pepsico.

What are the key skills and qualifications needed to thrive in the Pepsico Engineering position, and why are they important?

To thrive as a Pepsico Engineering professional, you need strong technical knowledge in engineering principles, hands-on experience with manufacturing processes, and a relevant engineering degree. Familiarity with PLCs, AutoCAD, SAP, Lean Six Sigma methodologies, and often a Professional Engineer (PE) license or equivalent certifications is highly valued. Strong analytical thinking, problem-solving abilities, teamwork, and clear communication are soft skills that distinguish top performers. These skills ensure efficient operations, innovative solutions, high safety standards, and effective collaboration across multidisciplinary teams in a dynamic manufacturing environment.

What are popular job titles related to Pepsico Engineering jobs in California?

For Pepsico Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Pepsico Engineering jobs in California look for?

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Pepsico Engineering jobs near you
Infographic showing various Pepsico Engineering job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Data Solutions Analyst at Wiliot San Mateo, CA

Fairweather, LLC

San Mateo, CA • On-site

$120 - $180/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Solutions Analyst job at Wiliot. San Mateo, CA.

Wiliot was founded by the team that invented one of the technologies at the heart of 5G.Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.

We are growing fast and need people that want to be part of the journey, commercializing Sensing as a Service and enabling “Intelligence for Everyday Thing”.

About the Role

We are looking for a Data Solutions Team Lead to join our delivery teams and work closely with customers on real-world IoT deployments.

In this role, you will be responsible for monitoring, analyzing, and improving the quality and performance of data generated from customer environments. You will work as part of cross-functional Scrum teams, partnering with customers, product, and engineering to ensure successful deployments and meaningful data outcomes.

This is a highly customer-facing, hands-on role that sits at the intersection of data, operations, and product.

Responsibilities
  • Work closely with customers as part of ongoing projects and deployments
  • Monitor real-time data streams and system performance across customer environments
  • Analyze data to identify trends, gaps, and anomalies in performance and data quality
  • Investigate issues and perform root cause analysis (e.g. data collection issues, tag placement, configuration gaps, integration issues)
  • Translate data into clear, actionable insights for both customers and internal teams
  • Build dashboards and visualizations to communicate system performance and business impact
  • Partner with FDE, Product, and Engineering teams to improve solutions and close gaps
  • Escalate product or data issues and collaborate with internal teams to drive resolution
  • Guide customers and field teams on best practices to improve deployment performance and data quality
Requirements
  • Bachelor's degree in Math, CS, data science/engineering or equivalent analytical degree
  • 3–5+ years of experience in data analysis, technical customer-facing roles, or similar
  • Architecture experience in big data, data warehousing, operational analytics and integration.
  • Optimize the performance of big data systems to design and implement efficient analytics algorithms.
  • Strong Python skills
  • Experience with SPARK strongly preferred.
  • Visualization tools experience including UI design (Plotly, Tableau, PowerBI, Grafana)
  • Understanding of statistical analysis and relational database structures (SQL,Influxdb a plus)
  • Strong analytical and quantitative problem-solving abilities
  • Excellent interpersonal and communication skills
  • Ability to be self-sufficient and execute quickly when given autonomy
  • Experience with IoT data streams and business context a plus
  • Flexibleteam playerwho will thrive in a dynamic, constantly evolving environment
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