Data Infrastructure Engineer positions focus on delivering results in their domain. This page aggregates open Data Infrastructure Engineer roles and what employers typically expect.
About Us We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken. Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges. Join our growing team of ML research and data infrastructure experts. We're committed to empowering AI and data scientists to seamlessly integrate semantic learning with generative AI. Be part of our journey to shape the future of enterprise AI.
Salary estimate
$111,000 – $150,000/yr
Provided by the employer.
Skills for this role
Machine LearningData Science
Resume tips for Data Infrastructure Engineer applicants
Lead with measurable achievements relevant to Data Infrastructure Engineer (numbers, scope, impact).
Mirror the exact keywords from the Data Infrastructure Engineer posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Python, C++, GO, RUST).
Keep it to one page for early-career, two pages for senior Data Infrastructure Engineer candidates.
Interview preparation
Prepare concrete STAR-format stories that show Data Infrastructure Engineer outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Data Infrastructure Engineer problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
About zaimler
zaimler is actively hiring on Jobedly. Explore their open roles and what it's like to work there.