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Data Engineering Jobs in Prince Edward Island (NOW HIRING)

The team partners closely with Engineering, Product, and DevOps to embed quality throughout the development lifecycle, ensuring data accuracy, system integrity, and strong business outcomes. This ...

... Engineering, Product, and DevOps teams to uphold quality throughout the development lifecycle. The ... Ensure test environments, data, and tools are optimized for efficiency and reliability. Defect ...

... engineering and engine-related issues. * Review and approve applicable OEM manuals before release to technicians and prepare Atlantic Technical Data Revision (ATDR) sheets to address identified ...

Advanced Quality Engineer

Charlottetown, PE · Hybrid

CA$70K - CA$80K/yr

This role works closely with Product Management, Software Engineering, DevOps, and UX teams to ... Solid grasp of SQL, NoSQL, and data validation techniques. * Experience with cloud platforms (Azure ...

We're not just managing data-we're securing people's futures, one innovative solution at a time. We're looking for a Senior Frontend Developer who's ready to level up their career and make a real ...

The team consists of global engineers supporting key Technology solutions. About the Role: This ... Incorporate native and GenAI/ML data analysis features of Power BI to translate data into insights ...

$40 - $42/hr

Bachelor of Science or equivalent in Engineering, Physics, or other related field preferred, or 4 ... Experience with troubleshooting and data analysis techniques is required. * Medical Physics ...

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Showing results 1-20

Data Engineering information

See Prince Edward Island salary details

$25K

$135.7K

$228.5K

How much do data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineering in Prince Edward Island is $135,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $172,000.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.
Infographic showing various Data Engineering job openings in Prince Edward Island as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $135,712 per year, or $65.2 per hour.

Senior Engineer Digital Distribution

Invesco

Charlottetown, PE • Hybrid

CA$70K - CA$75K/yr

Full-time

Re-posted 22 days ago


Invesco rating

9.7

Company rating: 9.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Job Description

About the Team:


The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent & predictable in engineering practices.

About the Role:

You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions.

Responsibilities of the Role:

  • Managing application and data integration platforms using AWS Cloud Components

  • Building robust data pipeline using modern data engineering practice in a Cloud architecture

  • Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards

  • Responsible for Data availability /enablement for business reporting and analytics within the SLA

  • Create and manage data, applications and technology architecture documentation and design artifacts

  • Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics

  • Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments

  • Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc.


Requirements of the Role:

  • 5-7 years of experience in data modeling, data warehousing, and big data architectures

  • 5-7 years of experience of Amazon cloud (AWS)- S3, RDS, Lambda, Glue, SNS, Terraform etc.

  • 5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte

  • Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT)

  • 3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have

  • Strong experience with databases such as Snowflake Postgres, Aurora, Athena

  • Strong programming experience with Python, Linux/bash scripting, Ansible

  • Experience using GitHub, Bit Bucket, or other code repository solution

  • Understanding and knowledge of Automated code Deployments CI/CD

Education Required

  • BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience

The salary range for this position in Charlottetown is $70,000 - $75,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location

Sr. Eng., Distrib Tech

The salary range for this position in Charlottetown is $70,000 - $75,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location

Full Time / Part TimeFull timeWorker TypeEmployeeJob Exempt (Yes / No)NoWorkplace Model


Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development.

What's in it for you?

Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes:

  • Hybrid working environment

  • RRSP Contributions

  • Health & Wellness Benefits

  • Work flexibility Programs

  • Parental Leave Benefits

  • Study Support

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability.


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