Data Conversion Engineer

SpryPoint; Labrador City; Remote; CAD 70,000 - 100,000; Full time

Benefits offered by this job

MacBook + $800 home workspace setup

Health, dental, vision, life insurance

PTO and unlimited sick days

RRSP/401k matching programs

Annual development fund and books

Job summary

SpryPoint is hiring a Data Conversion Engineer in a remote-first environment across North America. You will transform and migrate utility billing data from legacy systems into SpryPoint's modern platform, working in the Technical Services Data Conversion team to ensure accurate, efficient data migrations.

Ideal candidates have Python and Pandas experience, strong SQL skills, and a track record in data migration and ETL. This role emphasizes collaboration, quality, and continuous improvement.

Qualifications

• Python and pandas experience.
• SQL and relational databases experience.
• Data migration and ETL scripting experience.
• Understanding system design and analysis.
• Creative problem-solving mindset.

Responsibilities

• Lead ETL migration across projects with robust pipelines.
• Develop and maintain extraction/transformation/loading scripts in Python/SQL.
• Incorporate client feedback to improve data quality and performance.
• Contribute to data quality assurance and data accuracy checks.
• Profile source schemas to map and migrate data accurately.
• Collaborate with Client Experience to integrate data into SpryPoint products.
• Help establish best practices and drive process improvements.
• Participate in daily standups and weekly reviews.

Skills

Python

Pandas

SQL

ETL

Data migration

Data analysis

Job description

Company Overview

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.

Position Overview

As a Data Conversion Engineer at SpryPoint you will play a key role in supporting the transformation and migration of utility billing data from legacy systems into our modern utility and billing platform.

You will work in the Technical Services department alongside the rest of the Data Conversion team to extract, transform, and load (ETL) customer data, ensuring accuracy, efficiency, reliability, and quality. You will have opportunities to collaborate with pair programming, learn best practices in data migration, and contribute to process improvements.

This role is a great opportunity for someone early in their data engineering career who wants to build strong foundations in data transformation, conversion auditing, and process optimization within a collaborative and iterative environment.

Responsibilities

• Lead and manage ETL migration processes across multiple concurrent projects, ensuring robust data pipeline development and timely project delivery


• Develop and maintain efficient extraction, transformation, and loading scripts, utilizing Python, SQL, and related data engineering tools to ensure high-quality data migrations


• Implement feedback-driven improvements from clients and internal teams, enhancing data conversion quality, performance, and reliability


• Actively contribute to data quality assurance processes and review datasets for accuracy, completeness, and consistency


• Conduct in-depth analysis and profiling of diverse source database schemas (including relational and non-relational legacy systems) to accurately map and facilitate successful data extraction and migration


• Collaborate closely with the broader Client Experience team to seamlessly integrate client data into SpryPoint products, enabling smooth and timely go-live processes


• Work with the Data Conversion team to establish and promote best practices, create documentation, and drive continuous improvement in data migration processes, automation, and observability


• Actively participate in daily standups and weekly review sessions, clearly communicating progress, raising blockers, and incorporating feedback to continuously improve data engineering tasks and processes

Qualifications and Competencies

• Development experience with Python and the pandas module


• Development experience with SQL and relational databases


• Experience in data migration, ETL processes, process scripting, and automation


• Understanding of system design and analysis


• A creative approach to problem-solving and learning, and an enjoyment of solving puzzles

Hiring Process

• Stage 1: 30-minutes Recruiter Interview – We'll dive into your professional background and experience, share more about SpryPoint and the role, and answer any burning questions you might have.


• Stage 2: Take Home Assignment – You'll have 2-3 days to complete the assignment, which focuses mainly on Python and Pandas. We’re not expecting perfection, what matters most is how you approach problem-solving!


• Stage 3: 1-hour Final Technical Interview – This is a great chance to dive into your career goals, technical experience, and how we can support your growth. You’ll walk the team through your assignment, we’re just as interested in your final solution as we are in your thought process. It’s also an opportunity to showcase your skills and see if there’s a strong team fit!


• Stage 4: References/Offer – We'll check your references to confirm all the great things we've learned about you. If all goes well, we’ll be thrilled to extend an offer and welcome you to the team!

Benefits

• Competitive Total Rewards – Comprehensive compensation package that grows with you


• Work your way – Remote-first environment, flexible working hours across North America, and hub offices in Charlottetown & Atlanta


• 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

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. AI Disclaimer: [LINK]

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.