Data Migration Specialist — 12- month contract at Catalis Holdco Inc

Edmonton, Alberta, Canada -

Full Time

Start Date

Immediate

Expiry Date

04 Sep, 26

Salary

0.0

Posted On

06 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Migration, Python, PostgreSQL, MS-SQL, API Integration, PyTest, Selenium, Playwright, Git, ETL, QA Automation, Data Cleansing, SQL Window Functions, Jira, Confluence, SaaS Implementation

Industry

Software Development

Description

Description Who We Are Catalis is a leading government Software as a Service (SaaS) and integrated payments provider, powering a wide range of government operations at the municipal, county, state, and federal levels. Our innovative solutions are designed to streamline processes, enhance efficiency, and improve the delivery of government services to the public. At Catalis, we are committed to leveraging technology to make government interactions simpler, faster, and more accessible. Join a dynamic team, focused on helping Municipal Governments “Connect and Simplify Municipal Information to help make data informed decisions.” We are a data and service company with the goal of being an Alberta based technology company recognized across Canada. We are a small team that has seen year-over-year growth and is well positioned to increase our breadth and depth within the niche rural and small urban market, and we are looking for top-talent team members who can help take us to the next level. What we Offer Catalis is a fast growing and award-winning technology company that serves small urban and rural municipal governments across Canada. We offer competitive compensation, full paid vacation, and comprehensive health & dental benefits. We focus a lot of energy on professional development, offering free access to unlimited Udemy courses for personal and professional advancement, as we want our employees to ride the wave and grow with our business. We strive to be an example of a successful high-growth technology company in Alberta, and our team members depend on each other to make it happen. This opportunity is based at Catalis’ office in Old Strathcona (Edmonton, Alberta). Our new office includes an innovative vibe, stand-up desks for all staff, foosball games, an active workplace enrichment committee, fitness challenges, an office dog, lounge areas, and more! The Opportunity Join a team where you’ll make a real impact by helping clients move from legacy systems to the Catalis cloud platform. You’ll support smooth, accurate data migration and build smart automation tools that ensure quality, reliability, and confidence at go-live. This role is perfect for someone who enjoys solving problems, working with data, and collaborating across teams to deliver clean, successful implementations This is a 12-month contract with the opportunity for extension and the potential to transition into a permanent role. It is an onsite position based in our Edmonton office, Monday through Friday. What you Will Do Data Migration Migrate data from the legacy system into the Catalis cloud platform by executing data cleansing, preparation, and migration activities aligned with approved mapping specifications. Execute mock migrations in lower environments, capturing results, exceptions, and reconciliation outputs for review by the Implementation team. Validate migration outcomes using defined reconciliation checks — record counts, key field verification, and exception reporting — escalate variances as needed. Ensure data is accurately transformed, validated, and ready for go-live, while supporting cutover execution and timely issue resolution. Provide post-go-live support by resolving migration-related data issues, including reloads, and script corrections, ensuring final migration artifacts are handed off to support teams. Work closely with the Project Coordinator and Implementation team to ensure data is transferred accurately, completely, and within agreed timelines. QA Automation Design, develop, and maintain automated test suites covering migration, functionality, and regression testing for the Catalis ERP Cloud product. Build and maintain automation tooling using Python and one or more frameworks (PyTest, Selenium, Playwright, or equivalent). Develop API-based tooling to query cloud application data and validate it against legacy system SQL, ensuring migration correctness and data integrity post-load. Document test plans, results, and defect findings using project and collaboration platforms (JIRA, Confluence or similar). Requirements What you Will Need to Succeed Required 1+ years of experience in implementation, development, automation, or data-centric roles, ideally supporting SaaS solutions or data migration projects. Python experience with at least one test automation framework — PyTest, Selenium, Playwright, or comparable. Experience working with APIs for data extraction, including writing and validating API-based workflows. Proficiency in PostgreSQL or MS-SQL, including CTEs, window functions, stored procedures, and dynamic queries. Experience with Git for source control, including branching, merging, and pull requests. Assets Experience with ETL processes, SSIS packages, or AWS/cloud data services. Familiarity with functional or regression testing beyond API-level automation (e.g., UI, end-to-end). Experience with Municipal ERP, Accounting, Tax, Utilities, or Payroll software. Familiarity with JIRA, Confluence, Asana, or similar project and documentation platforms. Catalis is committed to building and promoting a diverse workforce and celebrates the unique qualities that individuals of various backgrounds and experiences offer. As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law.

Responsibilities

Migrate data from legacy systems to the Catalis cloud platform through cleansing, preparation, and validation. Design and maintain automated test suites using Python to ensure data integrity and functional correctness.