Senior Data Platform Engineer

Summary

Join Axonius, a fast-growing cybersecurity company, and revolutionize how IT and security teams manage their digital assets. As a Data Engineer, you will design, build, and optimize the platform's data and machine learning pipelines on AWS. Collaborate with engineers, data analysts, and scientists to meet data needs, solve complex integration problems, and lead data projects from design to monitoring. We offer a flexible work culture with remote options and a commitment to employee growth and well-being, including a yearly budget for professional development, long weekends, generous parental leave, and additional vacation for life events. We also provide psychological support services and English lessons. Axonius is an inclusive workplace committed to equal opportunities.

Requirements

• Have 5+ years of hands-on experience in designing and maintaining big data pipelines across on-premises or hybrid cloud environments, with proficiency in both SQL and NoSQL databases within a SaaS framework
• Proficient in one or more programming languages: Python, Scala, Java, or Go
• Experienced with software engineering best practices and automation, including testing, code reviews, design documentation, and CI/CD
• Experienced in building and designing ML/AI-driven production infrastructures and pipelines
• Bachelor's degree in Computer Science or equivalent experience
• Strong communication skills, fluent in English, both written and verbal
• A great team player with a can-do approach

Responsibilities

• Design, plan, and build all aspects of the platform’s data, machine learning (ML) pipelines, and infrastructure
• Build and optimize an AWS-based Data Lake using best practices in cloud architecture, data partitioning, metadata management, and security to support enterprise-scale data operations
• Collaborate with engineers, data analysts, data scientists, and other stakeholders to understand data needs
• Solve challenging data integration problems, utilizing optimal ETL/ELT patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources
• Lead end-to-end data projects from infrastructure design to production monitoring

Preferred Qualifications

• Experienced in developing data pipelines and maintaining data lakes on AWS - big advantage
• Familiar with technologies such as Kafka, Snowflake, MongoDB, Airflow, Docker, Kubernetes (K8S), and Terraform - advantage

Benefits

• We allocate a yearly budget to every employee, enabling them to invest in their own growth and learning according to their specific needs and aspirations
• We provide our employees with three long weekends throughout the year, giving them the opportunity to rejuvenate, spend quality time with loved ones, and invest in their own well-being
• In addition, we created a special parental leave policy which allows both primary caregiver and secondary caregiver to spend substantial time with their newborn
• We’re also proud to offer extra vacation days for the following important life events: marriage, birth of a grandchild, special milestones related to your children, loss of pregnancy and bereavement
• We offer psychological support services and support services
• We embrace a flexible working culture . The majority of our employees work remotely , regardless of their location around the globe
• We provide English lessons as part of our commitment to their success