Data Engineer

Who We Are

Launchpad Technologies Inc. is a global technology partner connecting top talent with high-impact projects across North America and beyond. We specialize in Staff Augmentation and product development, helping companies scale with agility while empowering professionals to grow in meaningful, remote-first environments.

Interested in building data solutions for top-tier companies? Join our Talent Community and stay on our radar for future opportunities.

⚠️ This is not an active opening. By applying, you'll be considered when a suitable role becomes available.

🔍 About You

You bring experience with:

• ETL/ELT workflows (Airflow, Glue, ADF, DBT, etc.)
• Python, SQL, Spark
• Cloud data stacks: AWS, Azure, or GCP
• Data warehousing (Snowflake, Redshift, BigQuery, Synapse)

🌎 What We Look For

• Experience designing or optimizing data pipelines
• Strong software engineering fundamentals
• Ability to collaborate with Data Science and Product teams
• Excellent English and remote communication skills

Does our work culture resonate with you?

• 100% remote
• People-first culture
• Excellent compensation in US Dollars
• Hardware setup for working from home
• Work with global teams and prominent brands in North America, Europe, and Asia
• Training allowances
• Personal time off (PTO) for vacation, study leave, personal time, etc.
• ...and more!

Then apply now!**

✨ Join our LATAM Talent Pool and we’ll reach out when the right project goes live.*

Compliance & Equal Opportunity

Launchpad is an equal opportunity employer committed to creating an inclusive environment for all applicants. We do not discriminate on the basis of race, color, religion, gender identity, sexual orientation, age, disability, or any other protected status under applicable laws in Canada and British Columbia.

All candidate information will be handled confidentially and used solely for recruitment purposes in accordance with applicable privacy regulations.

Ready to make your mark? Apply now and be part of something exciting!