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Pda Engineer Jobs in California (NOW HIRING)

CBRE

Sr Building Engineer

Irvine, CA · On-site

Use pc and/or pda for work order system, email, ESS and training. Respond to emergency situations ... Service Technician, Building Engineer, heating, ventilation, air conditioning, refrigeration, cool ...

Dollar Tree

Equipment Operator

Stockton, CA · On-site

$20 - $27.50/hr

... RF) devices or Personal Data Assistant (PDA) units as applicable. Principal Duties ... Achieves set standards (engineered or productivity) on a daily, weekly and monthly basis.

Dollartree

Equipment Operator

Stockton, CA · On-site

$20 - $27.50/hr

... RF) devices or Personal Data Assistant (PDA) units as applicable. Principal Duties ... Achieves set standards (engineered or productivity) on a daily, weekly and monthly basis.

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All JobsPda Engineer JobsPda Engineer Jobs in California

Pda Engineer information

See California salary details

$38.5K

$100.4K

$135.7K

How much do pda engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for pda engineer in California is $100,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $115,000.00 per year, depending on experience, location, and employer.

What is the difference between Pda Engineer vs Pda Technician?

AspectPda EngineerPda Technician
CredentialsBachelor's degree in engineering or related field, certifications in PDA technologyTechnical diploma or associate degree, specialized PDA training
Work EnvironmentDesign, development, and testing of PDA devices, often in R&D labs or manufacturingMaintenance, troubleshooting, and repair of PDA devices in production or field settings
Industry UsageElectronics manufacturing, product development companiesElectronics repair shops, manufacturing facilities, field service

The main difference between a Pda Engineer and a Pda Technician lies in their roles and responsibilities. Pda Engineers focus on designing and developing PDA devices, requiring higher education and engineering expertise. Pda Technicians handle the maintenance and repair of these devices, often with technical diplomas and hands-on skills. Both roles are essential in the PDA industry but serve different stages of the product lifecycle.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in tech companies or industries with high demand for expertise.

What is a PDA in engineering?

In engineering, PDA often refers to Power Distribution Analysis, which involves evaluating electrical power systems to ensure reliable and efficient energy delivery. Pda Engineers may work with tools like CAD software and focus on designing, analyzing, and maintaining electrical distribution networks within various projects.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or managing large teams and projects.

What jobs make $1,000,000 per year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What cities in California are hiring for Pda Engineer jobs? Cities in California with the most Pda Engineer job openings:
Pda Engineer jobs near you
Forward Deployed Engineer - Data Engineering & GenAI

Forward Deployed Engineer - Data Engineering & GenAI

Kanshe Infotech

San Jose, CA • On-site

$134K - $161K/yr

Other

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

Job description

Title: Forward Deployed Engineer – Data Engineering & GenAI
Location: San Jose, CA (Local Candidates Preferred)
Note

  • Local candidates preferred.

  • Please share the candidate's availability for an interview next week with overlapping IST working hours.

Job Description

We are looking for a Forward Deployed Engineer – Data Engineering & GenAI with strong experience in data engineering, cloud platforms, and Large Language Models (LLMs). The ideal candidate will work closely with business stakeholders to design and implement scalable data and AI solutions while supporting production environments.

Required Qualifications

  • 8+ years of experience in Data Engineering or Software Engineering, preferably working with large-scale financial or transactional data.

  • Strong SQL skills with hands-on experience in BigQuery or an equivalent modern cloud data warehouse.

  • Proficiency in Python and/or Java for data pipeline development and automation.

  • Experience with Google Cloud Platform (Google Cloud Platform) services such as:

    • BigQuery

    • Cloud Composer (Airflow)

    • Dataflow

    • Pub/Sub

    • or equivalent cloud technologies.

  • Hands-on experience building applications with Large Language Models (LLMs), including:

    • Prompt Engineering

    • Function/Tool Calling

    • Retrieval-Augmented Generation (RAG) Pipelines

  • Strong understanding of ETL/ELT architecture, data modeling, and large-scale performance optimization.

  • Excellent communication skills with the ability to translate ambiguous business requirements into well-defined technical solutions.

  • Experience collaborating directly with non-technical stakeholders, including Operations, Compliance, and Finance teams.

  • Ability to thrive in fast-paced environments with shifting priorities and production support responsibilities.

Preferred Qualifications

  • Experience developing solutions using Claude, OpenAI, or similar LLM APIs in production or internal applications.

  • Familiarity with Model Context Protocol (MCP), including building or configuring MCP servers/skills that connect LLMs with internal tools.

  • Experience with Vector Databases and Embedding-based Search for RAG applications.

  • Knowledge of Financial Reconciliation processes, including PDA, CASH, VDA, SDA matching, or equivalent reconciliation workflows.

  • Experience with AI adoption analytics, usage monitoring, cost optimization, and cloud performance tuning at scale.

Apply