Work on large-scale, production-grade data systems that support AI and machine learning initiatives, translating complex datasets into meaningful insights for diverse clients.
Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We’re a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.
We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences.
As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you.
We are looking for a Senior Data Engineer to join our engineering team and help clients design, build, and scale advanced data solutions. You will work on large-scale, production-grade data systems, support AI and machine learning initiatives, and translate complex datasets into meaningful insights that drive business and product decisions.
This role requires strong technical depth, the ability to operate in research-heavy and ambiguous environments, and close collaboration with cross-functional teams across product, data, and validation functions.
By joining our team, you’ll be part of a winning squad that plays to each other’s strengths and celebrates every success together. Apply now and show us you’ve got what it takes to take your consulting skills to the next level with Modus Create!
Modus Create is a consulting firm dedicated to digital transformation and product development. We empower organizations by modernizing their platforms and processes, enabling them to excel in the ever-evolving digital landscape.
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Principal Data Engineer Q&A's