Data engineer

Latam

Launchpad Technologies

Applications Integrations & Custom Develpment - 400+ integration connectors to automate your business workflows, and Top 5% Talent from Latin America!

View company page

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.

Are you a skilled data engineer eager to explore new opportunities? We want to introduce you to our data engineer talent pool. While we may not have an immediate opening, we are building a selected pool of  engineers for upcoming projects. At Launchpad, we value innovation and expertise. By being part of our Talent Pool, you're positioning yourself for exciting opportunities in the future.

Why join our Talent Pool?

  • Stay ahead: By becoming a part of our Talent Pool, you'll be first in line for consideration when a suitable role opens up.
  • Showcase your expertise: Share your skills, projects, and experience with us, so we can match you with the right role.

What are we looking for?

  • At least 2 years of proven experience as a Data Engineer or similar role.
  • Proficiency in at least one programming language (e.g., Python, Java, Scala).
  • Experience with data modeling, ETL processes, and data integration.
  • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
  • Strong understanding of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  • Knowledge of data warehousing concepts and technologies (e.g., Redshift, Snowflake).
  • Experience with data orchestration tools (e.g., Apache Airflow).
  • Proficiency with version control systems (e.g., Git) and collaborative development workflows.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and the ability to work collaboratively in a team environment.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
  • Advanced english level

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.

 

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow AWS Azure Big Data Data Warehousing ETL GCP Git Hadoop Java Kafka MongoDB MySQL NoSQL PostgreSQL Python Redshift Salesforce Scala Snowflake Spark Splunk Tableau

Perks/benefits: Career development

Regions: North America South America
Job stats:  1  0  0
Category: Engineering Jobs

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.