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Part Time Data Engineering Jobs in British Columbia

Salesforce Lead Developer

Vancouver, BC · Hybrid

CA$100K - CA$130K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Implement Marketing Cloud journeys, automation logic, Contact Builder data models, Email Studio ...

CA$20.45 - CA$23.55/hr

Run sales reports and use data to help guide your strategy to hit sales targets * You'll ... developer of your peeps * You have Avenger-like skills: communication, time management ...

CA$20.45 - CA$23.55/hr

Run sales reports and use data to help guide your strategy to hit sales targets * You'll ... developer of your peeps * You have Avenger-like skills: communication, time management ...

... and manage data quickly and accurately across virtually any IoT application. As our Pre Sales ... Bachelors Engineering Degree or equivalent experience. * 5+ years of experience with deep knowledge ...

Application Security Analyst

Vernon, BC · On-site +1

CA$88K - CA$102K/yr

Working closely with developers, Information Services teams, and business stakeholders, you'll lead ... and part-time permanent employees. * Employee Assistance Program * A group RRSP/DPSP matching ...

Working closely with developers, Information Services teams, and business stakeholders, you'll lead ... and part-time permanent employees. * Employee Assistance Program * A group RRSP/DPSP matching ...

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Part Time Data Engineering information

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in British Columbia?

The most popular types of Data Engineering jobs in British Columbia are:

What are popular job titles related to Part Time Data Engineering jobs in British Columbia?

For Part Time Data Engineering jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in British Columbia look for?

The top searched job categories for Part Time Data Engineering jobs in British Columbia are:

Infographic showing various Part Time Data Engineering job openings in British Columbia as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Part-Time Lecturer - Analytics (Vancouver)

Vancouver, BC

CA$2.0K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

About the Opportunity

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master of Professional Studies Analytics, located on-ground in Vancouver.

Responsibilities:

The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry- and mid-level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.

Qualifications:

Masters in an aligned discipline and analytics-industry experience.Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching at the graduate level (on-ground) is strongly preferred.

Supervision:

This position will report to the Faculty Director of the Domain Analytics and Enterprise Intelligence.

Additional Information:

Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $2,049.43