ZipRecruiter

Log In

1

Data Jobs in Walnut, CA (NOW HIRING)

Unisys

Data Architect

Long Beach, CA · On-site

$67 - $86.25/hr

Conduct data model reviews with project team members/business subject matter experts * Working with our other architects and engineering leads to build data security, management and engineering ...

Russell Tobin

Data Analyst

Alhambra, CA · On-site

$35 - $40/hr

Title: Informatics Data Analyst Location: Alhambra, CA (Onsite) Duration: 12 months (08/24/2026 - 08/23/2027) Pay Range: $35-40/hr. on W2 Support enterprise data management, reporting, and ...

Excelhire

Data Analyst

Los Angeles, CA · On-site

$32/hr

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help drive ...

TecTammina

Data Modeler

Pasadena, CA · On-site

$59.75 - $77.50/hr

Should have expert knowledge of conceptual, logical and physical data models including 3rd Normal Form and dimensional data modeling. Physical should include a good understanding of database views ...

Heluna Health

Data Scientist

Los Angeles, CA

$51 - $68.72/hr

Salary Range: $51.00-$68.72 per hour SUMMARY The Data Scientist supports California's Medicaid 1115 JI Reentry Initiative by analyzing, managing, and reporting data related to enrollment, service ...

Forhyre

Data Architect

Los Angeles, CA

$68.75 - $88.25/hr

We are looking for a Data Architect to build, optimize and maintain conceptual and logical database models. For this role, you should know how to analyze system requirements and implement migration ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of ...

Orbee

Data Analyst

Irvine, CA · On-site

$70 - $100/hr

Orbee provides digital marketing analytics, data, and automation solutions to the automotive industry. Franchise and independent dealers and large dealership groups utilize the company's platform to ...

US Tech Solutions

Data Architect

Pasadena, CA

$69.50 - $89.50/hr

Translating customers business & technical requirements into a data solution architecture in alignment with ADP's overall architectural directions and strategies. A Technical leader who drives the ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA

Role Summary As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who ...

ShoreWise Consulting

Data Modeler

Ontario, CA · On-site

$55.75 - $72.25/hr

Experience with Guidewire, Mitchell, and CCX data model is required * Fundamental knowledge of Property and Casualty industry products and services. * In depth experience with SAP Power Designer

Capstone Energy+, Inc.

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Data Analyst Position Description Date Issued: June 2026 Department: Finance Reports to: VP of Finance Location: Van Nuys, CA Position Purpose: We are seeking a highly analytical and detail-oriented ...

Heluna Health

Data Scientist

Los Angeles, CA · On-site

$51 - $68.72/hr

Salary Range: $51.00-$68.72 per hour SUMMARY The Data Scientist supports California's Medicaid 1115 JI Reentry Initiative by analyzing, managing, and reporting data related to enrollment, service ...

247Hire

Data Scientist

Los Angeles, CA · On-site

$120 - $160/hr

Overview - add details here Summary We're looking for a Senior Data Scientist with a strong foundation in predictive modeling, clustering, and statistical analysis. This role combines hands-on ...

Truemed

Data Analyst

Los Angeles, CA · On-site

$80 - $120/hr

The Role As a Data Analyst at Truemed, you will sit at the intersection of data and decision-making, turning raw inputs into the reporting and analysis that keeps the business moving. You will build ...

previous pagenext page

Showing results 21-40

All JobsData JobsData Jobs in Walnut, CA

Data information

See Walnut, CA salary details

$46.9K

$168.2K

$248.1K

How much do data jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data in Walnut, CA is $168,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $173,200.00 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.
More about Data jobs

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

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

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

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

Data jobs near you
Infographic showing various Data job openings in Walnut, 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $168,162 per year, or $80.8 per hour.

Data Architect

Unisys

Long Beach, CA • On-site

$67 - $86.25/hr

Full-time

Re-posted 8 days ago

Unisys rating

5.1

Company rating: 5.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

213th of 225 rated it services

Job description

What success looks like in this role:
  • Work with business leads and systems implementation partners to define database/data warehousing requirements and data interfaces
  • Conduct data model reviews with project team members/business subject matter experts
  • Working with our other architects and engineering leads to build data security, management and engineering excellence into all our solutions.
  • Consulting with internal teams and client stakeholders on proposed solutions and how they'll be developed/deployed and used.
  • Leveraging automation in every part of a solution to accelerate and optimize all out solutions.
  • Work with internal resource and system implementation partners to design Datawarehouse and DataMart structures
  • Identify data requirements and related KPIs, metrics, etc.; perform and document data source gap analysis
  • Participate and drive proof-of-concept or prototyping of data systems and data solutions
  • You will participate in architectural reviews, ensuring the best patterns are in place, while early identify upstream and downstream side effects
  • This will be heavily working with stakeholders and data modelling work with less of a focus on the enterprise or infrastructure architecture
  • You will create documents that ensure consistency in development across the organization
  • They will be working with the key stakeholders to understand the data flows within the organization and the stakeholders needs
  • Manage data management workstream
  • Assessing the logical and physical data models required to deliver this
  • Enabling the build of a greenfield data warehouse which sits on top of their existing data lake and allows the teams to deliver effective analytics
  • You will facilitate conceptual discussions to meet business objectives
  • You will define usage patterns and anti-patterns for data systems, processing, modelling, and storage technologies
  • You will bring a holistic brand and enterprise view into new data system design.
  • Works within and across practices and organizations to design leading-edge technology or application solutions that result in profitable revenue growth for Unisys.
  • Conceptualizes, architects, designs, implements and supports integrated solutions for client engagements.
  • Demonstrates extensive knowledge of industry, technology and strategy trends and uses this knowledge to generate profitable revenue growth for Unisys.
  • Builds relationships with product development organizations and is recognized by these organizations as a key product champion who adds value through exposure to client situations.
  • Advises, analyses, researches, designs, installs and implements complex integrated solutions for an entire enterprise. Interfaces extensively with the client's senior management team (e.g., the IT Directors) on business, systems architectural, and technical issues. Provides mentoring and team leadership to other architects.
  • Develops the integrated technology requirements project plan.
  • Integrates complex solutions into new or existing client environments.
  • Uses advanced diagnostic analytical and design capabilities.
  • Ensures that the best solution is provided to the customer (e.g., completes solution integrity engineering and development attributes.)

You will be successful in this role if you have:
  • University degree or equivalent experience and a minimum of 10 years of experience in a broad range of data sources including SQL and NOSQL
  • Data Architect experience (5+ years)
  • Experience in one or more related cloud platform technology areas that interests you, for example: SQL Server, Data Lake Storage, Data Movement/Transformation e.g. Azure Data Factory/AWS Glue, Data Analytics e.g. Databricks/Synapse/BigQuery, Data Cataloguing, Data Quality, Data Lineage, Data Governance, Data Mesh/Lakehouse, Master Data Management etc.
  • Some knowledge of common industry tooling covering areas such as ingestion, streaming, storage, visualisation etc.
  • Experience with hands-on implementation on cloud platforms including at least one of: Microsoft Azure, Amazon Web Services, Google Cloud
  • Experience in architecting and designing the migration of data from one data source to another in which the data sources are not of same type such as Mainframe to Modern Databases such as Oracle
  • Design experience on Data Vault, Data Lake and Mart technologies in Cloud
  • Experience using advanced SQL functions and query performance tuning
  • Experience of design within a data science environment (AWS S3/ Jupyter notebooks)
  • Familiar with a variety of modelling approaches, tools and model repositories
  • Experience of Data Catalogue tools (e.g. Collibra, Informatica)
  • Strong knowledge of master data management
  • Knowledge of Business Objects, Tableau etc
  • Knowledge and/or experience with service-oriented architecture entities and frameworks
  • Knowledge of database performance/tuning/measurement, as well as user access and data manipulation
  • Data warehousing, including business line and enterprise data warehouses, operational data stores, and business intelligence data structures
  • Experience in Conceptual, Logical, and Physical Data Model design
  • Strong knowledge of entity relationships
  • Hands on skills in SQL, Python, AWS & Azure infrastructures, Alteryx & Tableau
  • Strong knowledge of SQL, C#, SOA and web services
  • Documented experience (at least 2 years) with ETL in the context of data warehouses
  • Knowledge of Big Data environments (Hadoop & PhP)
  • Seeing the Big Picture
  • Has strong expertise and experience in data analytics, data visualization, machine learning and predictive modelling
  • Defines policies, procedures and models for data collection, storage, structure, access, manipulation, access and visualization
  • Defines technologies and tools used at various stages of data driven solution creation, maintenance and operation
  • Understands and connects business and technology aspects of data and its usages
  • Expertise and experience to translate data related business requirements into technology solutions
  • Deep expertise of various form of databases - RDBMSs, MongoDB, Cassandra, Hadoop, Spark etc. and database query languages - SQL, NoSQL
  • Strong expertise in business intelligence (BI) software - Tableau, Power BI, Chartio, and related programming languages - Python.

#LI-JV1
This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

What Unisys employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply