Contractor

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.

What you’ll be doing:

Build and maintain data pipelines using Google BigQuery, Dataflow, and other distributed processing tools.
Calculate business-critical metrics that are used by executives and engineers to make prioritization decisions
Work with business teams to turn their analytics questions into data engineering solutions
Build a data platform that enables engineering teams to build and maintain their own distributed data pipelines
Train engineers and cross functional stakeholders on how to most effectively use the data tools at the organization
Identify opportunities to simplify workflows, automate tasks, and build components that are reusable across multiple use-cases and teams

Required Experience & Skills:

6+ years experience in Data Engineering or back-end Software Engineering
Strong proficiency with Python and SQL
Experience with building and maintaining distributed data pipelines
Experience with MapReduce frameworks (Hadoop, Spark, BigQuery) and/or Apache Beam/Google Dataflow
Experience with workflow management tooling (eg. Airflow, Kubeflow Pipelines, Luigi)
Creative, resourceful, and enthusiastic about seeking new solutions to problems and opportunities
Experience with cloud computing platforms such as AWS or GCP. Strong understanding of infrastructure management using IaC tools such as Terraform, Chef, Puppet or CloudFormation.
Experience authoring documentation for technical design, architecture and production runbooks.
Hands-on experience with CI/CD, e2e testing, deployment methods, and source control technologies and standards.
Experience working with Oracle modules (Procurement, Supply Chain, Maintenance) is a plus
Experience in data modeling, warehouse design and fact/dimension implementations

Why work for Launchpad?

100% remote
People first culture
Excellent compensation in US Dollars
Work with global teams and prominent brands based in North America, Europe, and Asia
...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 for this job

Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!

Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Senior Data Engineer Q&A's

Report this job