Data Engineer

SD02-  Data EngineerCandidates in Argentina / English/  Python / Team Player/  SOLID Principles  ContainersLocation: Remote Contract Type: Direct Contract -  Long termPayment: USD 5000 - Benefits: Stock options , ARG Holidays .  About the Company ( Data Team  Cybersecurity  HQ: NY  Early Stage) Is a  continuous multifactor authentication company continually monitors biometric behavior to provide zero-interruption MFA and take action any time the wrong user is behind the keyboard. It’s a team with PhD machine learning expertise, years of enterprise application experience, and a leadership background in cyber-security.They use passive biometrics and machine learning to automate user identity, taking the friction and user error out of one of the largest areas of compromise: authentication. Their software automates all the work we humans have to do to keep our digital identities secure. They’re breaking the paradigm of identity security that relies on humans and replacing human effort, and human error, with software and automation. They use AI to enable any system to learn to recognize the user based on behavior, such as gait, typing behavior, mouse movement, usage patterns, and many more, creating the world’s first invisible, private biometric. Their mission is to fundamentally change the nature of secure human-computer interaction so that the security does not have a user experience, and you can’t make a mistake. They’re creating a future where how bad it is today to forget a password, or to type in 6-digit codes from text messages, will be a fading memory.They launched with the United States Department of Defense as their first customer, and they've now expanded to Enterprise customers focusing on employee identity. This is a unique opportunity to join a driven engineering team just after liftoff. They value transparency, agency, continuous improvement, and engineering culture. They are fully remote, well funded, and they always do their absolute best to take care of our people.  Tech Skills:  Strong experience with  PythonSOLID Principles: You have strong Software Engineering fundamentals like SOLID principles, and you enjoy learning new and better ways to hone your craft.Containers : You have experience with containerized deployments in cloud environments. Using tools like Docker, Kubernetes, EKS, etc.Data Pipelines ( nice to have)You have experience working with, or at all, but you’re excited to step into working with varied data types, and building robust data pipelines from design and development to testing and deployment. Other Skills Team Player  You enjoy working on a team where the code and software engineering process is communal property, and tickets are highly collaborative with a mix of synchronous and asynchronous processes. Startup Mindset  You’re comfortable in the dynamic environment of a startup. High Performance Apps  You like working on a team that’s dedicated to finding the right way to build software, and continually improve. Hands-on  You are excited about, and experienced in building and maintaining data infrastructure and pipelines in production. Growth Mindset  You are looking to learn new things every day, and how much you learn is more important to you than the language or tools you use. Machine Learning Nice to have You may not have worked directly with Machine Learning much, or at all, but you’re excited to step into a team with deep expertise in ML and learn on the way up.   Benefits include: ✓ Flexible work - work from home or use the Brooklyn office at your convenience.✓ Project day - One day per month spent on whatever you think is important.✓ Fitness stipend, commuter benefitsFor employees in Argentina we have:✓ Business English language courses✓ Travel to team events and in-person all-hands✓ Technical books, VPN Access, high-end work computer, etc.We are a young, hungry, and well-funded company and you’re getting in on the ground floor. You will have the agency to shape our strategy and trajectory, and to shape your own career as you benefit from the upward mobility of growth.