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Data Jobs in Goleta, CA (NOW HIRING)

Shp

Backend Software Engineer

Goleta, CA

$123K - $170K/yr

NET and SQL Server • Implement data processing logic and derived metrics • Develop and optimize SQL queries and define OLTP structures • Build and maintain data ingestion pipelines and API ...

micro1 AI

Clinical Pharmacy Technicians

Ventura, CA · Remote

$70 - $80/hr

Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records. * Apply expert judgment to assess the accuracy and adequacy of interval safety ...

micro1 AI

Pharmacovigilance Expert

Ventura, CA · Remote

$70 - $80/hr

Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records. * Apply expert judgment to assess the accuracy and adequacy of interval safety ...

Rincon Consultants, Inc

GIS Analyst

Ventura, CA · On-site

About The Role Rincon Consultants, Inc. is seeking an entry-level GIS Analyst to join our Data and Technology Services team in support of our Utilities Program, with a focus on energy, infrastructure ...

Verathon Inc

Backend Software Engineer

Santa Barbara, CA · On-site

$150 - $200/hr

Implement data processing logic and derived metrics * Develop and optimize SQL queries and define OLTP structures * Build and maintain data ingestion pipelines and API services * Apply spec-driven ...

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Showing results 21-40

All JobsData JobsData Jobs in Goleta, CA

Data information

See Goleta, CA salary details

$49.6K

$178K

$262.7K

How much do data jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data in Goleta, CA is $178,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $183,400.00 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 Goleta, CA look for?

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

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

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

Data jobs near you
Infographic showing various Data job openings in Goleta, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $178,048 per year, or $85.6 per hour.

Director of Enterprise Applications, Data & A

Direct Relief International

Santa Barbara, CA • On-site

$200 - $250/hr

Other

Re-posted 18 days ago

Key responsibilities

  • Lead implementation, enhancement, and support of enterprise business applications.

  • Partner with business stakeholders to identify opportunities for process improvement and automation.

  • Identify and prioritize high-value AI use cases and lead the implementation of AI-powered capabilities within enterprise platforms.

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Director of Enterprise Applications, Data & A

Full-time Regular Professional California, Santa Barbara, CA, US

$190,000.00 To $225,000.00 Annually

Position Summary

Reporting to the Vice President of Information Technology, the Director of Enterprise Applications, Data & AI serves as a senior technology leader responsible for delivering enterprise systems, data and analytics capabilities, AI-enabled business solutions, and custom software development that support Direct Relief's global humanitarian mission.

This role acts as the VP's primary partner for business transformation initiatives, driving the adoption of enterprise platforms, data-driven decision making, artificial intelligence capabilities, and modern software solutions across the organization.

Key Responsibilities Enterprise Applications & Digital Transformation
  • Lead implementation, enhancement, and support of enterprise business applications.
  • Serve as delivery leader for major technology initiatives, including Salesforce, ERP, CRM, ecommerce, and related platforms.
  • Partner with business stakeholders to identify opportunities for process improvement and automation.
  • Establish application governance, roadmap planning, and portfolio management practices.
  • Manage relationships with implementation partners, consultants, and software vendors.
  • Ensure successful integration of enterprise platforms across the technology ecosystem.
Artificial Intelligence & Innovation
  • Identify and prioritize high-value AI use cases across fundraising, operations, supply chain, finance, programs, and customer service.
  • Lead the implementation of AI-powered capabilities within Salesforce, SAP, Databricks, and other enterprise platforms.
  • Partner with business leaders to redesign processes leveraging generative AI, machine learning, automation, and predictive analytics.
  • Establish governance frameworks for AI usage, including security, privacy, compliance, and responsible AI practices.
  • Collaborate with data engineering and development teams to build AI-enabled applications and workflows.
  • Define and track measurable business outcomes from AI investments.
  • Develop and execute the organization's data and analytics strategy.
  • Lead business intelligence, reporting, dashboarding, and self-service analytics initiatives.
  • Oversee modern data platform architecture including data warehousing, data lakes, and cloud analytics technologies.
  • Drive adoption of data governance, data quality, and master data management practices.
  • Partner with business leaders to define KPIs and deliver actionable insights.
  • Lead teams responsible for Databricks, data engineering, reporting, and advanced analytics capabilities.
  • Develop the organization's data foundation to support advanced analytics, machine learning, and AI initiatives.
  • Oversee modern data platforms including Databricks, Azure data services, and enterprise data warehousing technologies.
Software Development & Integration
  • Support the Director of Software Engineering in the following areas:
    • Establishing application development standards, architecture, and delivery methodologies.
    • Overseeing custom application development, API management, and systems integration.
    • Promoting modern development practices including DevOps, CI/CD, automated testing, and Agile delivery.
    • Ensuring scalability, maintainability, and security of custom-developed solutions.
Qualifications Required
  • Bachelor's degree in Information Systems, Computer Science, Engineering, or related field.
  • 10+ years of progressive IT leadership experience.
  • 5+ years leading enterprise application implementations and business transformation initiatives.
  • Experience managing Salesforce, SAP or other enterprise software delivery teams and third-party implementation partners.
  • Experience with data analytics and business intelligence programs.
  • Experience overseeing custom software development and systems integration efforts.
  • Strong project and portfolio management experience.
  • Excellent communication and stakeholder management skills.
Preferred
  • Experience implementing and managing Salesforce platforms, including:
    • Salesforce Nonprofit Cloud
    • Salesforce Revenue Cloud
    • Salesforce Commerce Cloud
    • Salesforce Platform
  • Experience integrating Salesforce with ERP systems.
  • Experience with SAP ECC, SAP S/4HANA, SAP CRM, or related SAP technologies.
  • Experience with Databricks, Azure Data Platform, Power BI, or similar analytics technologies.
  • Salesforce, SAP, Databricks, or related certifications.
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