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Data Engineer Jobs in Oxnard, CA (NOW HIRING)

Amgen

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$128K - $169K/yr

Collaborate with data scientists to develop, train, and evaluate machine learning models. * Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training ...

CYNET SYSTEMS

Business Systems Analyst

Woodland Hills, CA · On-site

$35 - $40/hr

Strong experience in Data & Analytics / Data Engineering projects. * Proven experience working in Agile/Scrum environments. * Hands-on experience with user story creation, backlog management, and ...

CYNET SYSTEMS

Product Owner

Woodland Hills, CA · On-site

$45 - $50/hr

Drive delivery of Data Engineering, Reporting, and Analytics projects. * Support development of reports and dashboards (Power BI, Tableau, etc.). * Ensure data accuracy, validation, and ...

Actalent

Test Engineer

Thousand Oaks, CA

Test Engineer The Test Engineer executes customer test projects from initial planning through setup ... Analyze, review, and document test data to ensure accurate test results and adherence to internal ...

Actalent

Test Engineer

Camarillo, CA

Test Engineer The Test Engineer executes customer test projects from initial planning through setup ... Analyze, review, and document test data to ensure accurate test results and adherence to internal ...

Jedson Engineering Inc

Process Mechanical Engineer

Oxnard, CA · On-site

$77K - $102K/yr

Conduct on-site assessments at manufacturing plants as needed to gather data, validate designs ... Prepare detailed engineering calculations, equipment specifications, P&IDs, layouts, and technical ...

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All JobsData Engineer JobsData Engineer Jobs in Oxnard, CA

Data Engineer information

See Oxnard, CA salary details

$47.1K

$137.4K

$188K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Oxnard, CA is $137,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,600.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Oxnard, CA? The most popular types of Data Engineer jobs in Oxnard, CA are:
What job categories do people searching Data Engineer jobs in Oxnard, CA look for? The top searched job categories for Data Engineer jobs in Oxnard, CA are:
What cities near Oxnard, CA are hiring for Data Engineer jobs? Cities near Oxnard, CA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Oxnard, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,367 per year, or $66 per hour.

Director of Enterprise Data Analytics & GIS (IT Officer II)

KORE1 Technologies

Oxnard, CA • On-site

$127K - $195K/yr

Full-time

Re-posted 27 days ago

Job description

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Director of Enterprise Data Analytics & GIS (IT Officer II) in Ventura County, California.
Overview:
The Director of Enterprise Data Analytics & GIS is responsible for leading enterprise-wide data and geospatial initiatives that support strategic decision-making, operational efficiency, and enhanced service delivery across a complex organization.
Reporting to senior IT leadership, this role oversees the full lifecycle of enterprise data capabilities, including data architecture, data engineering, data governance, analytics, and business intelligence. In addition, the position leads the organization's Geographic Information Systems (GIS) program, ensuring geospatial data and spatial analysis are effectively leveraged across departments.
This role combines strategic leadership with hands-on technical oversight and requires close collaboration with cross-functional stakeholders to advance data-driven decision-making.
Key Responsibilities:
Enterprise Data Strategy & Analytics
  1. Lead the development and execution of enterprise data strategy, including data architecture, engineering, governance, and analytics platforms
  2. Drive initiatives to integrate and analyze data across multiple enterprise systems (e.g., financial, operational, infrastructure, and public-facing systems)
  3. Establish standards and best practices for data management, analytics, and business intelligence
  4. Develop dashboards, reporting tools, and analytical models to support leadership decision-making
  5. Promote the use of data-driven insights for performance management, policy analysis, and resource allocation

GIS Program Leadership
  1. Oversee and manage enterprise GIS capabilities as a strategic function
  2. Ensure effective use of geospatial data and spatial analysis to support planning, operations, infrastructure management, and public safety
  3. Lead development of mapping services, spatial analysis tools, and geospatial data management practices

Cross-Functional Collaboration
  • Partner with departments to identify opportunities to improve operations through data and analytics
  • Provide guidance on effective use of analytics tools, reporting platforms, and GIS capabilities
  • Support cross-departmental initiatives through integrated data solutions

Team Leadership & Program Management
  • Lead and mentor a technical team supporting data analytics and GIS services
  • Oversee project delivery, vendor relationships, and contracted services
  • Establish and enforce standards for data quality, reporting, visualization, and geospatial data management

Technology & Infrastructure
  • Collaborate with IT leadership to design and maintain enterprise data platforms and analytics environments
  • Ensure systems are secure, scalable, and aligned with organizational needs
  • Support development and maintenance of data pipelines, integration frameworks, and reporting systems

Systems & Technologies:
  • Enterprise data platforms, analytics tools, and reporting systems
  • Data governance frameworks (data quality, stewardship, metadata management)
  • Business intelligence and visualization tools (e.g., Power BI or similar)
  • Data integration and engineering tools
  • GIS platforms and geospatial technologies (e.g., Esri ArcGIS or similar)
  • Cloud-based data and analytics environments

Minimum Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Geography, GIS, Public Administration, or a related field
  • 8+ years of progressively responsible experience in data analytics, business intelligence, data engineering, or related fields
  • Experience leading analytics initiatives, technical teams, or enterprise data programs

Preferred Qualifications:
  • Experience designing and managing enterprise data platforms and analytics ecosystems
  • Experience working with GIS platforms and geospatial data
  • Background supporting analytics for complex operational environments (e.g., infrastructure, public services, or large organizations)
  • Experience with modern data technologies and cloud-based analytics platforms
  • Strong ability to communicate complex data insights to both technical and non-technical stakeholders
  • Relevant certifications in data analytics, GIS, or cloud technologies

Additional Requirements:
  • Ability to obtain and maintain required background clearances as applicable
  • Valid driver's license (if required for role responsibilities)
  • Strong communication skills and ability to collaborate across teams and stakeholders

Work Environment:
  • Standard full-time schedule with flexibility based on organizational needs
  • May require occasional extended hours to support operational priorities

Job Requirements
Compensation depends on experience but is typically $127-195k/year DOE
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.

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