Run fluids through devices to verify cartridge integrity and collect test data * Document, analyze ... Employment Type: PART_TIME
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Part Time Data Engineer information
What is a part time data engineer?
A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.
What types of projects and responsibilities can I expect as a part time data engineer?
As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.
What are the key skills and qualifications needed to thrive as a part time data engineer?
To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.
Are part time data engineers still in demand?
Can I work remotely as a part time data engineer?
What are the most commonly searched types of Data Engineer jobs in Quebec?
The most popular types of Data Engineer jobs in Quebec are:
What are popular job titles related to Part Time Data Engineer jobs in Quebec?
For Part Time Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Part Time Data Engineer jobs in Quebec look for?
The top searched job categories for Part Time Data Engineer jobs in Quebec are:

Job description
We are building an automated microfluidic platform that makes complex cell engineering workflows simple, standardized, and automation-ready. Our technology empowers scientists to generate precisely modified primary and immortalized cell lines on demand, bridging the digital and biological to accelerate discovery and therapeutic development.
We are a fast-moving, early-stage startup with offices in Montreal and Boston. This position is open for Montreal. Every team member has the chance to make a real impact on the direction of our platform and the future of gene editing.
Build, test, and troubleshoot microfluidic devices
Assist in the development and refinement of standard operating procedures (SOPs) for device fabrication and operation
Support in-house fabrication processes and contribute to evaluating outsourced manufacturing options
Perform QC/QA tests (optical, mechanical, and electrical) across assembled devices
Design and adapt fixtures and jigs for device interfacing and validation
Run fluids through devices to verify cartridge integrity and collect test data
Document, analyze, and report on microfluidic performance testing
Collaborate with biology and engineering teams to integrate feedback into device iterations
Degree or diploma in Biomedical Engineering, Mechanical Engineering, Materials Science, Physics, or a related field
Hands-on experience with microfabrication or microfluidic device testing; cleanroom experience preferred but not required
Familiarity with CAD design tools; basic programming skills (Python, R) a plus
Comfortable with standard lab and engineering equipment (oscilloscopes, function generators, amplifiers, etc.)
Strong problem-solving skills, attention to detail, and organizational ability
Capable of working independently and contributing in a small, dynamic startup environment
Experience in cleanroom microfabrication techniques such as photolithography
Familiarity with laboratory automation, liquid handling systems, or biology workflows
Previous work in a startup or multidisciplinary R&D environment
This position is based in Montreal, QC. Candidates must be legally eligible to work in Canada.
Direct applicants only. No agencies, please.
At DropGenie, we believe that everyone has the ability to make an impact. We welcome applicants of all backgrounds. If you require accommodations during the application process, please let us know.
About DropGenie
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
1 - 10 Employees
Headquarters location
Boston, MA, US
Year founded
2018