Job Description Agile Engine is one of the Inc.

5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch.

We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :) What you will do Ingest, structure, and analyze a wide range of unstructured data sources; Design, maintain, and orchestrate data pipelines in an AWS environment for production processing and training flows; Continuously evaluate, analyze, test, and improve the quality, privacy, and performance of our data systems; Contribute across the product, — from front-end UX and product design to API/systems architecture and ML processing/training.

Must haves  5+ years of experience ingesting, analyzing , and structuring a wide variety of data sources; Significant experience building and maintaining data pipelines in a production environment; Strong experience with databases/SQL, Python, and Pandas (or equivalent); Prior experience working in fast-paced environments and tackling problems across the stack with quick iterations while maintaining a high-quality bar; Upper-Intermediate English level.

Nice to haves Experience within the healthcare domain is a plus; Extensive production experience with AWS, containers, and/or data orchestration; MLE Experience – Py Torch, scikit-learn, etc.; Full-stack development experience (JS/TS/Node in particular); Demonstrated experience in similar roles in a startup or consultancy.

The benefits of joining us Professional growth Accelerate your professional journey with mentorship, Tech Talks, and personalized growth roadmaps.

Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Next Steps After You Apply The next steps of your journey will be shared via email within a few hours.

Please check your inbox regularly and watch for updates from our Internal Applicant site, Launch Pod , which will guide you through the process.

Requirements 5+ years of experience ingesting, analyzing, and structuring a wide variety of data sources; Significant experience building and maintaining data pipelines in a production environment; Strong experience with databases/SQL, Python, and Pandas (or equivalent); Prior experience working in fast-paced environments and tackling problems across the stack with quick iterations while maintaining a high-quality bar; Upper-Intermediate English level.