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Data Jobs in Poway, CA (NOW HIRING)

Data Scientist

San Diego, CA · On-site

$171.60 - $302.20/hr

This includes defining the right data, ensuring quality of data and labeling, and running tests on datasets. Description This role is focused on defining algorithm quality. Day-to-day work involves ...

This includes defining the right data, ensuring quality of data and labeling, and running tests on datasets. Description This role is focused on defining algorithm quality. Day-to-day work involves ...

Data Engineer

San Diego, CA

$121K - $146K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the ...

You will design scalable data infrastructure that powers business intelligence, machine learning, and operational analytics -- performing data engineering tasks on-site within the existing systems of ...

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Data Engineer Contract 40 hours weekly, 12+ months This is a Flex position with the potential to convert to a regular full-time position based on business needs, individual performance, and ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the ...

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

They are seeking a Data Engineer to provide client support to their Navy client, focusing on building and optimizing data pipelines, and implementing automation and data governance strategies.

Data Engineer

San Diego, CA

$122K - $147K/yr

The Marlin Alliance is seeking a forward-thinking Data Engineer in San Diego, CA to provide client support to our Navy client. This is an on-site role and applicants must have active DoD Secret ...

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

You will design scalable data infrastructure that powers business intelligence, machine learning, and operational analytics - performing data engineering tasks on-site within the existing systems of ...

Data Engineer

San Diego, CA · On-site

$129K - $156K/yr

You will design scalable data infrastructure that powers business intelligence, machine learning, and operational analytics - performing data engineering tasks on-site within the existing systems of ...

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

The Marlin Alliance is seeking a forward-thinking Data Engineer in San Diego, CAto provide client support to our Navy client. This is an on-site role and applicants must have active DoD Secret ...

Data Engineer

San Diego, CA

$121K - $146K/yr

The Marlin Alliance is seeking a forward-thinking Data Engineer in San Diego, CA to provide client support to our Navy client. This is an on-site role and applicants must have active DoD Secret ...

Data Engineer

Carlsbad, CA · On-site

$118K - $142K/yr

Data Engineer Location: Carlsbad, CA / Tempe, AZ (Hybrid - 3 days onsite) Duration: Full-Time Job Summary Our client is seeking a Data Engineer to design, build, and support modern cloud-based data ...

Data Entry

San Diego, CA · On-site

$18 - $24.25/hr

Prepares source data for computer entry by compiling and sorting information; establishing entry priorities * Enters customer and account data by inputting alphabetic and numeric information on ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Data Entry

San Diego, CA

$18 - $24.25/hr

Prepares source data for computer entry by compiling and sorting information; establishing entry priorities * Enters customer and account data by inputting alphabetic and numeric information on ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0246048 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

Showing results 41-60

Data information

See Poway, CA salary details

$47.1K

$168.8K

$249.1K

How much do data jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data in Poway, CA is $168,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $173,900.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Poway, CA?

The most popular types of Data jobs in Poway, CA are:

What job categories do people searching Data jobs in Poway, CA look for?

The top searched job categories for Data jobs in Poway, CA are:

What cities near Poway, CA are hiring for Data jobs?

Cities near Poway, CA with the most Data job openings:

Infographic showing various Data job openings in Poway, CA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $168,808 per year, or $81.2 per hour.

Data Scientist

Apple Inc.

San Diego, CA • On-site

$171.60 - $302.20/hr

Other

Medical, Dental, Retirement

Re-posted 15 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Join Apple's HID Quality Engineering team to ensure our products exceed our customers' expectations! You'll work with QE and Algorithm teams to build metrics around algorithm performance, turning user behavior into quality specifications and measurable standards that teams can consistently apply. You will make sure new customer-facing algorithms are validated effectively using data and repeatable processes. This includes defining the right data, ensuring quality of data and labeling, and running tests on datasets.

Description

This role is focused on defining algorithm quality. Day-to-day work involves writing quality specifications, establishing benchmarks, developing test scenario frameworks, and partnering closely with algorithm, platform, and UX research teams to identify where quality standards are missing or misaligned with user outcomes.

Responsibilities
  • Write quality specifications that translate real user needs and device constraints into testable technical requirements
  • Establish acceptance criteria and benchmarks for touch algorithm families, including clear definitions of meaningful regression versus noise
  • Build structured test scenario libraries and coverage models reflecting the diversity of real-world touch interactions and user conditions
  • Identify gaps between current validation approaches and user-relevant edge cases
  • Design data collection, labeling, and analysis plans that enable effective validation and spec setting
  • Embed with algorithm teams to understand their workflows and surface gaps where quality is undefined, inconsistently applied, or disconnected from user impact
  • Translate user research and field data into concrete quality requirements, establishing shared language for what "validated" means at each stage of development
  • Provide platform and automation teams with a prioritized set of automation requirements grounded in written quality specifications
  • Drive adoption of quality frameworks and build consensus across teams with different algorithms, timelines, and constraints
Minimum Qualifications
  • MS in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field
  • 5+ years of experience in quality engineering, test strategy, or algorithm/ML evaluation
  • Experience writing quality specifications or test plans for complex technical systems adopted by multiple teams
  • Experience with signal‑level sensor algorithms
  • Familiarity with statistical methods used in algorithm evaluation, such as A/B testing, regression analysis, and significance testing
  • Working proficiency with Python for data exploration and analysis
Preferred Qualifications
  • PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field
  • Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the difference between a metric shifting and quality actually changing
  • Experience defining test scenario coverage models and setting benchmarks for systems where ground truth is ambiguous or user-dependent
  • Experience building consensus on quality standards across teams with competing prioritiesAbility to write specifications precise enough for engineers to implement automation directly, without ambiguity
  • Background in UX research, HCI, or human factors, with experience grounding technical quality definitions in human behavior
  • Familiarity with embedded platform constraints
  • Experience with causal inference or advanced experimental design for algorithm evaluation

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976