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Remote Data Engineer Jobs in Prince Edward Island

As a Data Developer, you'll play an important role in turning data into meaningful insights by ... Remote-first environment, flexible working hours across North America, and hub offices in ...

As a Data Developer, you'll play an important role in turning data into meaningful insights by ... Remote-first environment, flexible working hours across North America, and hub offices in ...

Utilize advanced support technologies and processes engineered to achieve outstanding results. We ... Remote Reports to: B2B Sales Supervisor Contract: Regular, Full-time Education: High School Diploma ...

Collaborate with your product and engineering partners in a triad. Advocate for the user, build ... You use data: usage patterns, analytics, customer feedback. You know how to let the numbers inform ...

Remote Data Engineer information

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
Infographic showing various Remote Data Engineer job openings in Prince Edward Island as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Developer

Charlottetown, PE • Remote

CA$800/wk

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

The Company
2025 Deloitte Technology Fast 50 Canada Recipient & Fast 500 North America Recipient
 
SpryPoint is modernizing how utilities serve their communities. As a high-growth software company, we're shaking up the status quo in the utility industry with the first and only truly cloud-native customer service and operations platform purpose-built for modern utilities.
 
Founded by industry veterans in 2011, we've grown from a profitable startup to a rapidly scaling company of 300+ employees serving 100+ utility clients across North America and the Caribbean. Our mission is simple: utility leaders should expect more from their technology providers.
 
Utilities face urgent demand to replace inefficient legacy systems while managing increasing operational complexity, and evolving customer expectations. With more than a decade of experience, and a track record of successful implementations spanning water, electric, and gas utilities, SpryPoint has built a reputation as a trusted and mission-critical partner to utilities across North America.
 
We deliver comprehensive solutions including SpryCIS, SpryEngage, SpryMobile, and SpryWallet that modernize the entire meter-to-cash process. What sets us apart? Our "updates, not upgrades" approach, user-centric design, and unwavering focus on customer success.
 
Backed by strategic investment from Norwest Venture Partners since 2023, and an exciting new investment partnership from Insight Partners announced in 2026, we're accelerating our growth while staying true to our core values: lead with kindness, vision with impact, radical honesty, bold disruption, keep it simple, and execute with excellence.
 
Join our award-winning team in transforming an essential industry that powers communities across the Americas.
 
 
 

Position Overview

At SpryPoint, we build innovative web and mobile applications that help utilities modernize the way they serve their communities. As a Data Developer, you'll play an important role in turning data into meaningful insights by designing, developing, and maintaining reporting and analytics solutions using technologies such as PostgreSQL and Metabase.

You'll work closely with cross-functional teams to understand business and reporting needs, ensure data is accurate and reliable, and build solutions that make it easier for our clients and internal teams to access and use their data. This is an opportunity to combine your technical expertise, analytical thinking, and understanding of data to support better, data-driven decision-making.

What You'll Be Doing:
  • Design, develop, and optimize data pipelines to support reporting and analytics requirements
  • Implement and manage reporting solutions using tools like Metabase, ensuring user-friendly dashboards and visualizations
  • Collaborate with business stakeholders to gather requirements, define KPIs, and deliver actionable insights through reports
  • Perform data cleansing, transformation, and aggregation to prepare datasets for reporting purposes
  • Monitor and troubleshoot data pipelines and reporting processes to ensure reliability and performance
  • Work closely with team members to support data-driven decision-making initiatives
  • Stay updated with emerging technologies and best practices in data engineering, reporting, and analytics
What You Bring:
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, or a related field
  • Relevant certifications in data management, database administration, or data analytics are a plus
  • Hands-on experience with relational databases such as PostgreSQL, including database design, query optimization
  • Proficiency in writing complex SQL queries, stored procedures, and triggers
  • Experience with data visualization tools like Metabase, Tableau, or Power BI
  • Strong understanding of database design, data modelling, and ETL processes
  • Experience with Python programming language is preferred, and some understanding of API development is considered a bonus
  • Excellent analytical, problem-solving, and communication skills
  • Ability to work effectively in a collaborative team environment and handle multiple tasks simultaneously
 
Expect More From Your Career at SpryPoint
 
Work your way - Remote-first environment, flexible working hours across North America, and hub offices in Charlottetown & Atlanta
Competitive Total Rewards - Comprehensive compensation package that grows with you
Complete Setup - MacBook + $800 to create your ideal home workspace
Total Wellness - Health, dental, vision, and life insurance from day one
Recharge Time - Generous PTO and unlimited sick days
Future Security - RRSP (Canada) and 401k (US) matching programs
Continuous Growth - $2,500 annual development fund, tuition assistance, and Book Bounty program
Team Connection - Annual company events and team offsites that bring us together
 
 
AI Disclaimer:  [LINK]
We use an AI notetaker (Metaview) during interviews so we can give you our full attention. Please opt-in via this quick consent form. It's optional - if you'd prefer not to be recorded, just skip this step. 
 
Accommodations 
Need accommodations during our interview process? Let us know and we'll work with you to provide the necessary support.
 
Equal Opportunity & Inclusion 
SpryPoint is an equal-opportunity employer committed to creating an inclusive environment where everyone can thrive. We welcome applications from all qualified candidates regardless of race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable laws.
 
Professional Identity Verification 
To help us verify candidate authenticity and streamline our screening process, we strongly encourage candidates to include a link to their LinkedIn profile and verify it with their current work email address. While not required, this helps us confirm your professional background and accelerates our review process. Candidates with verified LinkedIn profiles typically receive faster responses and priority consideration during our screening process. Note that all final candidates will complete a background check and identity verification as a part of our SOC 2 compliance procedures.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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