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Data Migrations Engineer I

Greenhouse
Ontario$79k – $85kPosted 9 May 2026

Job Description

Our mission at Greenhouse is to make hiring work for everyone – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can achieve our mission. Join us to do the best work of your career, solving meaningful problems with remarkable teams. Greenhouse is looking for a Data Migrations Engineer I to join our Data Migrations team! Reporting to the Manager, Data Migrations, you will work in tandem with Customers, Research and Development, Implementation, and Customer Success teams, to ensure our customers’ legacy recruiting data is seamlessly carried forward into Greenhouse. Your focus will be to deliver excellent data transformation and migration solutions while being a champion for world class customer experiences. Data Migrations Engineers at Greenhouse gain valuable experience across a multitude of technical and non-technical skill sets, enabling them to pursue career paths into: software engineering, data analytics, technical consulting, and more. Who will love this job A data aficionado – you geek out on analyzing and manipulating large sets of data A Python enthusiast – you write scripts and programs to automate processes and transform data A people person – you communicate clearly and naturally build trust and rapport with customers A self-starter – you constantly experiment with new tools and technologies for the job A detail enthusiast – you understand that the “little things” matter when supporting our customers What you’ll do Work directly with Greenhouse customers to determine the timeline and scope of their data migration, including: what data will and will not be included, where and when data will appear within Greenhouse, and in what format data will be stored Collaborate with the Implementations and/or Customer Success teams to fully align on all migration-related tasks, inter-dependencies, and milestones Develop new, or modify existing, automation scripts to extract, analyze, and transform customer data in preparation for its import to Greenhouse Iterate with the customer through test imports as needed, making modifications to the automation scripts to ensure a successful migration Communicate potential process and tooling enhancements with our RD team in order to improve our ability to automate the end-to-end migration process Educate and enable the Sales Engineering team to translate customers’ data migration requirements into a recommended service package Handle customer data with the utmost sensitivity, in accordance with Greenhouse security best practices You should have Proven experience transforming large datasets using Python (hundreds of thousands of records or over 1GB) Demonstrated proficiency in Python scripting for data analysis and manipulation Experience with Pandas or Jupyter Notebooks Experience managing technical work within projects, including leading source and target system analysis, specification, design, and development activities Ability to work within eastern timezone, preferred Demonstrated proficiency with Excel, especially V-Lookups and Pivot Tables, a plus External Customer Interaction, a plus Familiarity with data engineering processes (ETLs) and data visualization, a plus Experience analyzing, troubleshooting, and transforming data on RESTful APIs, a plus Familiarity with Greenhouse, a plus Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren’t always in alignment with a given role – but those are qualities we value at Greenhouse. If you don’t meet 100% of the qualifications outlined above, we still strongly encourage you to apply. Applicants must be legally eligible to work in Canada as of the start date chosen by the Company. We are unable to support sponsorship at this time. For p ... (truncated, view full listing at source)
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