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Part Time Data Engineering Jobs in British Columbia

Invictus Direct

Support a tech consulting agency as a remote Data Engineer in this part-time role. Drive data integration efforts essential for operational efficiency and AI solutions. This role requires a Data ...

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Apera AI Inc

Senior Accountant

Vancouver, BC

Partner with systems and engineering teams to automate billing and AR workflows Vendor Invoice ... Supervise and review work performed by part-time data entry or transactional accounting staff

BoxLunch & Hot Topic

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 ...

BoxLunch & Hot Topic

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 ...

All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in British Columbia

Part Time Data Engineering information

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 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 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.

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:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in British Columbia as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 12% Part Time, and 8% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Engineer for Tech Solutions Firm

Invictus Direct

Remote

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Support a tech consulting agency as a remote Data Engineer in this part-time role. Drive data integration efforts essential for operational efficiency and AI solutions.
This role requires a Data Engineer with 3-5 years of experience in data engineering and ETL development. You will design workflows to extract and standardize data from various platforms, optimize database structures, and develop API integrations. Collaborate with other tech professionals in a remote environment to deliver effective data solutions.
Key Responsibilities:
• Create ETL workflows for data extraction and processing
• Build API integrations for centralized data management
• Develop SQL queries and optimize database structures
• Prepare data for effective analytics and dashboards
• Engage in client discussions for technical inputs
Requirements:
• 3-5 years of experience in data engineering
• Strong SQL skills and database design experience
• Experience building ETL pipelines
• Knowledge of PostgreSQL and automation tools is a plus
• Excellent communication skills for remote work
Leverage your data engineering expertise to foster innovation in operational processes and client solutions.
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