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Data Engineer Jobs in Oxnard, CA (NOW HIRING)

AVUM INC

Data Architect Senior

Malibu, CA · On-site

$145K - $180K/yr

This role will work closely with software engineers, business analysts, program leadership, and stakeholders to develop data strategies that support both operational and analytical needs. Key ...

Amgen SA

Sr Data Scientist

Thousand Oaks, CA · On-site

$140 - $190/hr

The successful candidate will bring strong technical expertise in advanced analytics, data engineering, cloud data platforms, and data governance, along with working knowledge of pharmaceutical ...

CYNET SYSTEMS

Big Data / ETL Tester

Woodland Hills, CA · On-site

$45 - $50/hr

Collaborate with data engineers, developers, and business analysts to understand data flows and requirements. * Analyze logs, identify issues, and provide root cause analysis. * Ensure testing ...

Amgen

Principal Software Engineer

Thousand Oaks, CA · On-site

$141K - $190K/yr

A background in data engineering, including experience with data pipelines and distributed data processing, is a strong plus. Roles & Responsibilities: * Lead the end-to-end design, development, and ...

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Showing results 21-40

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.

Data Architect Senior

AVUM INC

Malibu, CA • On-site

$145K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

Description:

Position Summary

Avum is seeking an experienced Data Architect to design, develop, and maintain enterprise data solutions that support mission critical Federal and Department of Defense (DoD) programs. This individual will lead data architecture efforts, establish data standards, and ensure that data systems are scalable, secure, and aligned with business objectives.

The ideal candidate has experience designing modern data platforms, integrating data from multiple sources, and supporting data driven decision making across complex organizations. This role will work closely with software engineers, business analysts, program leadership, and stakeholders to develop data strategies that support both operational and analytical needs.


Key Responsibilities

  • Design and maintain enterprise data architectures, data models, and database structures.
  • Develop data strategies that support business, operational, and reporting requirements.
  • Collaborate with stakeholders to understand data needs and translate requirements into technical solutions.
  • Design and implement data integration solutions across multiple systems and platforms.
  • Establish and enforce data governance, data quality, and data management standards.
  • Ensure data solutions meet security, compliance, and performance requirements.
  • Support cloud based and hybrid data environments.
  • Optimize databases, data pipelines, and storage solutions for performance and scalability.
  • Develop and maintain data architecture documentation, diagrams, and technical specifications.
  • Partner with software development teams to support application integrations and data services.
  • Evaluate emerging technologies and recommend improvements to data architecture and management practices.
  • Support reporting, analytics, business intelligence, and decision support initiatives.

Compensation

The salary range for this position is $145,000 – $180,000 annually. Actual compensation will be determined based on experience, qualifications, certifications, and geographic location. Avum offers a comprehensive benefits package including medical (Cigna), dental and vision (Principal), 401(k), PTO, education reimbursement, and certification reimbursement.


Work Environment & Requirements

  • Hybrid/remote work environment with potential on-site requirements based on contract needs
  • U.S. citizenship required
  • Security clearance: Active Secret clearance required or ability to obtain
  • Background investigation required


Equal Employment Opportunity

Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan.

Requirements:

Required Qualifications

  • U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field. Equivalent experience may be considered.
  • 5+ years of experience in data architecture, database design, or data engineering.
  • Experience designing and implementing enterprise data models and database solutions.
  • Strong knowledge of relational and non-relational databases.
  • Experience with data integration, ETL/ELT processes, and data migration activities.
  • Understanding of data governance, data quality, and data security principles.
  • Experience supporting cloud based data platforms and services.
  • Strong analytical, problem solving, and communication skills.

Preferred Qualifications

  • Active Secret Security Clearance.
  • Experience supporting Federal Government or Department of Defense programs.
  • Experience with AWS, Azure, or Google Cloud data services.
  • Experience with data warehousing, business intelligence, and analytics platforms.
  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Experience designing data architectures for large scale enterprise systems.
  • Knowledge of DevSecOps and modern data engineering practices.