Launchpad, a people-first technology company, is a leader in North America´s rapidly growing tech sector. Through two solutions, Launchpad supports its clients with digital transformation:
- PaasportTM, our iPaaS solution, streamlines software integration and automates workflows.
- Nearshore Staff Augmentation, our managed IT staffing service, connects top IT talent across various geographical regions, bringing industry expertise to leading clients.
Based in Vancouver, Canada, our operational footprint spans across North and South America, with a second headquarters in Santiago, Chile.
In 2023, our unwavering dedication to innovation garnered recognition as a Deloitte Technology Fast 50™ Program Company. Our clientele boasts industry leaders such as Walmart, GM, TIME Magazine, Salesforce, Tableau, Splunk, Bolt.com, Freedom House, and more.
At Launchpad, we genuinely care about our people as individuals. If you are looking for a team that values growth, drive, and passion for your craft, if you’re seeking a place to achieve your goals and dreams with fairness and integrity, then we’d love to hear from you.
This role requires working in alignment with UK hours (8/9 AM to 4/5 PM).
As the Data Operations Engineer, your main mission will be to define and deploy data ingestion pipelines that normalize and transform customer data to allow business intelligence analysts, machine learning engineers and data scientists to gain insight from their analytics and research.
The Data Operations Engineer will create automated tests to ensure data meets quality standards and routinely work with our Product Development Team, handling requests and configuring connections to our predictive platform. The ideal Data Operations Engineer has a healthy drive to collaborate, gather feedback, and tackle challenges through testing and learning.
Responsibilities:
- Manage the end-to-end setup of our customers' data: from raw data sources to data ingestion pipelines and connections to our predictive platform
- Analyze and validate customer data from ingestion to production
- Monitor all data update processes and outputs to ensure quality and uptime
- Collaborate with other members of the Data Analytics Program and with the Product Development Team to discuss new use cases or help identify and fix data issues
- Develop and maintain proprietary technical documentation
- Solve day-to-day customer data challenges
Requirements:
- BS/BA degree in Engineering, Computer Science, Information Technology, or a related technical field
- Proficient with SQL and experience with SQL database design in a business setting
- 1+ years’ experience with data models, data quality assurance, and ELT/ETL systems
- Excellent numerical and analytical skills
Additional Ideal Experience
- Experience with AWS, Python scripting and Notebooks, Sigma, Fivetran, dbt and Snowflake in a business setting
- Familiarity with data science and machine learning concepts
- Familiarity with the Agile Scrum frameworks and Product Management tools such as Atlassian Jira and Confluence
Why work for Launchpad?
- 100% remote
- People first culture
- Excellent compensation in US Dollars
- Hardware setup for working from home
- Work with global teams and prominent brands based in North America, Europe, and Asia
- Training allowances
- Personal time off (PTO) for vacations, study leave, personal time, etc.
- ...and more!
At Launchpad, we genuinely care about our people as individuals. If you are looking for a team that values growth, drive, and passion for your craft, if you’re seeking a place to achieve your goals and dreams with fairness and integrity, then you are the future of Launchpad. Launchpad is committed to fostering a diverse and representative workforce and an inclusive work environment where all employees are respected and treated equally.
Are you ready to elevate your career at Launchpad? We want to hear your story! Contact us today.
