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Part Time Data Analytics Engineer Jobs in California

Data Analyst

San Diego, CA

$61.90K - $141K/yr

Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

San Diego, CA · On-site

$61.90K - $141K/yr

Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

Orange, CA · On-site

$72K - $75K/yr

... Full or Part Time full-time 40 hours weekly Fair Labor Standard Act Classification Exempt ... Data Analytics/Data Science, Computer Science, Industrial Engineering, Construction Management ...

Data Engineer

San Diego, CA · On-site

$61.90K - $141K/yr

You'll sharpen your skills in analytical exploration and data examination while you support the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

San Diego, CA

$61.90K - $141K/yr

You'll sharpen your skills in analytical exploration and data examination while you support the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Platform Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Lead work on Figma's AI data agent to enable self-serve analytics by owning the data-agent layer ... Improve the developer experience for ML and data practitioners through robust abstractions, tooling ...

AI Solutions Architect

Menlo Park, CA · On-site

$228.94K - $231.60K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... data analytics, machine learning algorithms, and optimization methods. Work with software engineers ...

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Part Time Data Analytics Engineer information

What are the key skills and qualifications needed to thrive as a Part Time Data Analytics Engineer, and why are they important?

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

How does working as a part-time Data Analytics Engineer differ from a full-time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.

What does a Part Time Data Analytics Engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What are popular job titles related to Part Time Data Analytics Engineer jobs in California? For Part Time Data Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analytics Engineer jobs in California look for? The top searched job categories for Part Time Data Analytics Engineer jobs in California are:
What cities in California are hiring for Part Time Data Analytics Engineer jobs? Cities in California with the most Part Time Data Analytics Engineer job openings:

Data Analytics Adjunct Instructor

California Institute of Applied Technology

National City, CA • On-site

$40 - $45/hr

Part-time

Posted 23 days ago


Job description

Description:

Schedule - Class schedule works well even if you already have a daytime job

Work from Home (WFH) - Remote work must be performed while residing in California, New Mexico, Florida or Massachusetts

CIAT Campus Locations: San Diego, CA and Albuquerque, NM

Reports to: Associate Dean of Education

Status: Non-Exempt

Employment Type: Variable-Hour (Part-Time)


Summary

Are you passionate about positively changing the lives of others? California Institute of Applied Technology (CIAT) is growing and seeking educators and professionals with a passion for mentoring others. If this is you, please contact us! CIAT prepares students for professional success by offering practical training in today’s most competitive technology fields to make sure students are job-ready. With a large selection of courses, flexible schedules, and an online campus, we aim to empower the working student. We are laser-focused on student success, whether just starting out, making a career change, or transitioning into civilian life, CIAT prepares students for success!


Essential Duties and Responsibilities:


Teaching:

  • Available to teach synchronous online courses via Microsoft Teams
  • Plan and organize instruction in ways that maximize student learning and engagement
  • Modify, where appropriate, instructional methods and strategies to meet diverse student’s needs
  • Employ appropriate teaching and learning strategies to communicate subject matter to students via a synchronous online format (Microsoft Teams)
  • Current certifications in subjects taught

Mastery of Subject Matter:

  • Demonstrate a thorough and accurate knowledge of their field or discipline
  • Connect their subject matter with related fields
  • Stay current in their subject matter through professional development, through involvement in professional organizations, and attending professional meetings, conferences, or workshops

Adhering to College Policies and Procedures:

  • Ensure Student Database is fully updated and accurate at all times regarding student attendance and grade record information
  • Maintain compliance with accreditation related to instructional and the quality of education, scheduled class hours requirements and CIAT policies and procedures
  • Promote collaboration with other staff members and participate in the implementation of new projects, ideas, etc.
  • Adhere to the CIAT business casual attire. Please refer to the CIAT Employee Handbook for the complete policy. Clothing should be neat, clean, and without rips and holes. We can accommodate polo shirts
Requirements:
  • Information Technology Instructors must provide official transcripts of bachelor's (or higher) degree and active/current certification on the subject being taught.
  • General Education Instructors must provide official transcripts of bachelor's and master's (or higher) degrees that include at least 18 units on the subject being taught.
  • At least three years’ experience in the respective field OR two years of teaching experience
  • Advanced subject matter expertise preferred in the following areas: Programming Languages: Python, R, Databases & Querying: SQL, database design, data warehousing, Visualization & BI Tools: Tableau, Power BI, visualization libraries in Python/R, Analytics & Business Tools: Descriptive, predictive, and prescriptive analytics methods, Project Management Tools/Practices: Project planning, risk management, team collaboration in data projects
  • Synchronous online teaching preferred
  • Effective presentation skills
  • High level of flexibility, creativity, and dependability
  • Good working knowledge of MS Office applications including Microsoft Teams Word, Excel, and PowerPoint as well as learning technologies such as Canvas
  • Work independently with minimal supervision
  • Ability to multitask
  • Problem solves rapidly and effectively, in a timely manner
  • Works with a sense of urgency, while engaging and listening to coworkers from other departments
  • Ability to work collaboratively with colleagues, academic departments, and administration to support student success, achieve institutional goals and contribute to a positive and inclusive culture
  • Commitment to fostering an inclusive and supportive learning environment that respects the diversity of students' backgrounds, experiences, and perspectives
  • Knowledge of current trends, best practices, and didactic approaches in higher education
  • Demonstrated ability to deliver engaging and effective lesson plans that meet the diverse needs of students
  • Strong communication skills, both verbal and written, with the ability to effectively convey information and interact with students, colleagues, and others
  • Compliance with all college policies, procedures, and regulations, including those related to academic integrity, student conduct, and instructional delivery
  • Adhere to CIAT’s compliance requirements to ensure all Federal, State, accreditation, and institutional policies and procedures are being met
  • Follow communication guidelines to ensure high levels of customer satisfaction and professionalism
  • Must be able to embody CIAT’s mission, vision, purpose and values

Position Type and Expected Hours of Work

This is a variable hour position. Days and hours of work are usually Monday through Friday, but weekend and evening hours may be required. Live classes are scheduled twice a week on Monday and Tuesday from 6:00pm-9:30pm (Pacific Time).


Supervisory Responsibility

This position has no supervisory responsibilities.


Values

Values such as integrity, excellence, customer service, teamwork and mutual respect are some of those that remain constant, regardless of changes in our company. When identifying company values, it is important that those values are being demonstrated in the course of business each day. Our values set expectations for how employees and managers interact with every person while representing the company.

  • We are passionate about education and student success
  • We value integrity and excellence in our employees and students
  • We treat ourselves and our students with dignity and respect
  • We believe in and encourage innovation at our school to better help our students succeed
  • We have a customer centric focus and we want people highly committed to achieving goals, where our success equals student’s success
  • We are accountable for our actions and focus on improvements moving forward
  • We have a growth mindset with a sincere belief that every student can do better and achieve their goals
  • We expect every employee to be an example of conduct and professionalism, being a role model to students and colleagues
  • We commit to fostering an inclusive and supportive learning environment that respects the diversity of students' backgrounds, experiences, and perspectives
  • We foster lifelong learning and professional development

Physical Demands

These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job. Reasonable accommodation can be made to enable people with disabilities to perform the described essential functions:

  • Essential functions of this role require sitting for extended periods of time
  • Ability to type, use a computer to search for information and input information while speaking on the phone is required
  • The employee will frequently be required to use the computer, mouse and telephone to conduct the regular tasks of this role
  • The employee will be required to compute simple to simple mathematical calculations as a normal part of this role
  • Requires dependability and excellent attendance records
  • May require occasional travel to conduct CIAT business
  • The employee may frequently lift and move up to 10-15 pounds of materials, books, etc.

Work Environment

While performing the responsibilities of this remote position, the job holder will work in a home office environment. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of the job. This role routinely involves using standard office equipment such as computers, phones, and virtual communication tools. Employees are expected to ensure that their home office is a safe and ergonomic working environment.

Employees must maintain data security and confidentiality in accordance with company policies and use secure connections for all work-related activities. Expectations regarding work hours, availability, and time tracking will be clearly communicated and must be adhered to.

The company is not responsible for maintaining home office environments beyond the provision of reasonable accommodation and necessary work-related equipment. Workers' compensation and liability for injuries that occur in the home office will be covered as per company policy and applicable laws.

This remote work policy is designed to comply with all relevant local, state, and federal laws.


AAP/EEO Statement

California Institute of Applied Technology 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, California Institute of Applied Technology 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.

California Institute of Applied Technology 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 California Institute of Applied Technology’s employees to perform their job duties may result in discipline up to and including discharge.


Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time, with or without notice.


Salary Range

The starting salary range for the Data Analytics Adjunct Instructor position is $40.00- $45.00 hourly/DOE. We base salary offers on a variety of considerations, such as education, experience, equity and other business and organizational needs.

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