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Weekend Data Jobs in Irvine, CA (NOW HIRING)

Staff Data Architect

Long Beach, CA · On-site

$155K - $221K/yr

Willingness to work extended hours or weekends to support critical mission milestones and ... Staff Data Architect: $155,800- $221,160

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

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 ...

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 ...

Role Overview We are seeking a junior to mid-level Data Analyst (2-7 years' experience) who thrives on solving puzzles and uncovering the "why" behind the data. This role is focused on analytics and ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and ...

We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and ...

The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and operational signal from globally deployed robots, classify them, and turn them into the ranked problem ...

Data Analyst

Downey, CA · On-site

$70 - $90/hr

Data Analysis: Analyze data from various sources, using spreadsheets and smart sheets, to identify trends, patterns, and areas for improvement. * Reporting: Run regular and ad-hoc reports, interpret ...

Data Analyst

Irvine, CA · On-site

$70 - $90/hr

Data Analysis: Analyze data from various sources, using spreadsheets and smart sheets, to identify trends, patterns, and areas for improvement. * Reporting: Run regular and ad-hoc reports, interpret ...

Data Analyst

Bellflower, CA · On-site

$60 - $90/hr

Data Analysis: Analyze data from various sources, using spreadsheets and smart sheets, to identify trends, patterns, and areas for improvement. * Reporting: Run regular and ad-hoc reports, interpret ...

New

Responsible for data analysis related to AMO post-market product complaints and reporting on trends to ensure compliance to all applicable Corporate and Divisional policies and procedures.

Data Engineer

Irvine, CA · On-site

$100 - $120/hr

The Data Engineer will also help improve data quality, performance, reliability, and accessibility ... What to Expect Schedule: Full-time role with weekday office hours; occasional evening or weekend ...

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Proficiency in big data technologies. * Experience working in healthcare environments. Responsibilities: * Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured ...

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Weekend Data information

See Irvine, CA salary details

$9

$20

$48

How much do weekend data jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for weekend data in Irvine, CA is $20.18, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $20.31 per hour, depending on experience, location, and employer.

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

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

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

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

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

What cities near Irvine, CA are hiring for Weekend Data jobs?

Cities near Irvine, CA with the most Weekend Data job openings:

Infographic showing various Weekend Data job openings in Irvine, 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $41,975 per year, or $20.2 per hour.

Staff Data Architect

Vast

Long Beach, CA • On-site

$155K - $221K/yr

Full-time

Re-posted 4 days ago


Job description

Vast is looking for a Staff Data Architect, reporting to the Senior Director of Information Systems, to support the development of the data infrastructure and AI-driven capabilities that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location.

Responsibilities:

  • Design, architect, and implement scalable enterprise data infrastructure including data lakes, warehouses, and real-time streaming platforms
  • Build and maintain robust data pipelines that feed internal AI/ML tools and enable advanced analytics across all departments
  • Own end-to-end data architecture from ingestion through transformation to consumption, ensuring data quality, reliability, and security
  • Integrate data from complex engineering systems (PLM/Teamcenter), manufacturing systems (MES/MOM), ERP (NetSuite), IoT/sensor networks and other enterprise systems
  • Create innovative data solutions that enable AI/ML capabilities for engineering analysis, manufacturing optimization, and supply chain intelligence
  • Establish data governance frameworks, standards, and best practices across the organization
  • Implement MLOps infrastructure to support model training, deployment, and monitoring
  • Build real-time data pipelines from shop floor systems, test equipment, and operational technology (OT) environments
  • Collaborate with Engineering, Manufacturing, Supply Chain, and business teams to understand data requirements and deliver BI/AI-ready datasets
  • Lead and mentor a high-performing data engineering team, establishing technical standards and fostering a culture of extreme ownership
  • Evaluate and implement cutting-edge data technologies including cloud-native services, vector databases, and modern data stack tools
  • Optimize data pipelines for performance, cost-efficiency, and scalability
  • Implement monitoring, alerting, observability, and disaster recovery capabilities for mission-critical data systems
  • Provide technical leadership and strategic guidance on data architecture to executive leadership

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Data Engineering, Computer Engineering, or equivalent work experience
  • 8+ years of hands-on experience in data engineering, data architecture, or related fields
  • 3+ years of experience in a technical leadership role leading data engineering teams or initiatives
  • Proven track record of building enterprise-scale data infrastructure and production data pipelines
  • Expert-level proficiency in SQL and Python
  • Deep hands-on experience with cloud data platforms (AWS, Azure, or GCP) and associated data services
  • Strong experience with modern data processing frameworks (Apache Spark, Kafka, Airflow, or equivalent)
  • Demonstrated experience with data warehousing technologies (Snowflake, Databricks, BigQuery, Redshift, or similar)
  • Experience supporting AI/ML initiatives with production-grade data pipelines and infrastructure

Preferred Skills & Experience:

  • Experience in manufacturing, aerospace, defense, or hardware-intensive industries
  • Background integrating data from PLM systems (Teamcenter, Windchill), ERP systems (NetSuite, SAP), and MES/manufacturing execution systems
  • Hands-on experience with MLOps tools, feature stores, and machine learning data pipelines
  • Knowledge of DevOps/DataOps practices including CI/CD, infrastructure as code (Terraform, CloudFormation), and containerization (Docker, Kubernetes)
  • Experience with real-time streaming architectures and event-driven systems
  • Familiarity with vector databases, knowledge graphs, and AI/LLM data architectures
  • Understanding of dimensional modeling, data vault methodology, and modern data architecture patterns
  • Contributions to open-source data engineering projects
  • Experience with digital twin architectures or simulation data management
  • Strong understanding of data security, compliance, and governance in regulated industries
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders
  • Proven ability to balance strategic vision with tactical execution in fast-paced startup environments
  • Track record of extreme ownership-proactively identifying problems and driving solutions to completion

Additional Requirements:

  • Ability to travel up to 10% of the time to other Vast facilities or vendor sites
  • Willingness to work extended hours or weekends to support critical mission milestones and production launches
  • Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State (export control requirement)

Pay Range:

  • Staff Data Architect: $155,800- $221,160