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Weekend Data Jobs in Long Beach, CA (NOW HIRING)

University of South Carolina

Data Analyst

Los Angeles, CA · On-site

$72K - $86K/yr

Can include nights and weekends. Basis 12 months Job Search Category Other Professional About USC ... The Data Analyst will play an important role in supporting data-driven decision-making across ...

Vast

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

SolluCIO Partners

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location ... May require evening and weekend hours to support business needs. SOLLUCIO PUBLIC.

SpaceX

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

DATA ENGINEER (STARLINK) At SpaceX, we're leveraging our experience building rockets and spacecraft ... Must be available to work extended hours and weekends as needed * Willingness to travel to customer ...

SpaceX

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

DATA ENGINEER (STARLINK) At SpaceX, we're leveraging our experience building rockets and spacecraft ... Must be available to work extended hours and weekends as needed * Willingness to travel to customer ...

SpaceX

Data Engineer (Starlink)

Hawthorne, CA

$145K - $175K/yr

DATA ENGINEER (STARLINK) At SpaceX, we're leveraging our experience building rockets and spacecraft ... Must be available to work extended hours and weekends as needed * Willingness to travel to customer ...

Radiant

Director, Enterprise Data

El Segundo, CA · On-site

As the Director, Enterprise Data, you'll set the technical direction for the team, architect the ... weekends as necessary to accomplish our mission. • Must work 100% onsite at El Segundo HQ. • ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Extract and review monthly datasets for accuracy, validity and data integrity. Maintenance of report templates and production of performance reports. * Generate ad-hoc reports and assist in detailed ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Extract and review monthly datasets for accuracy, validity and data integrity. Maintenance of report templates and production of performance reports. * Generate ad-hoc reports and assist in detailed ...

Scale Inc

Data Analyst

Burbank, CA · Remote

We're investing heavily in data and AI to sharpen how we develop products and scale brands. We believe the best decisions come from data, curiosity, and continuous learning. We value high ownership ...

New

Ports North

Data Analyst

Los Angeles, CA · On-site

$60 - $80/hr

Job Title: Data Analyst Position Type: Contract to Hire Position Overview We are seeking a detail-oriented and proactive Data Analyst to support a high-performing legal team focused on Labor ...

New

City National Bank

Data Analyst

Los Angeles, CA · On-site

$60K - $104K/yr

DATA ANALYST/BUSINESS SYSTEMS ANALYST II WHAT IS THE OPPORTUNITY? Data Analyst II (Business Systems Analyst II) is responsible for designing, developing, and supporting data-driven analytical ...

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 ...

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All JobsData JobsWeekend Data JobsWeekend Data Jobs in Long Beach, CA

Weekend Data information

See Long Beach, CA salary details

$9

$19

$47

How much do weekend data jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for weekend data in Long Beach, CA is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $13.84 and $20.02 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 Long Beach, CA?

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

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

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

Weekend Data jobs near you
Infographic showing various Weekend Data job openings in Long Beach, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $41,381 per year, or $19.9 per hour.

Data Engineer

(EDO) Entertainment Data Oracle, Inc.

Los Angeles, CA • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement

Posted yesterday

New

Job description

The Role

As a Data Engineer at EDO, you will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing a wide range of datasets, including advertising occurrence data, outcome data, identity resolution data, and more. Our clients rely on these insights to make critical decisions about their advertising strategy.

You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake. You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.

What We Are Looking For
  • 3-6 years of experience as a Data Engineer.
  • Hands‑on experience with cloud data platforms (Snowflake or Redshift preferred).
  • Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred).
  • Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt.
  • Strong SQL skills, including query optimization, data modeling, and working with large datasets.
  • Proficiency in at least one scripting language, preferably Python.
  • Hands‑on experience with large‑scale, complex data pipelines operating at billions to trillions of rows of data.
  • Ability to work independently on well‑scoped projects, collaborate with cross‑functional partners, and deliver production‑ready solutions.
Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

  • Mid‑stage equity and competitive salary
  • Flexible Time Off
  • Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
  • 401(k) plan, FSA, HSA
  • When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $120,000 to $160,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

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