Senior Data Engineer

Summary

Join Axonius, a rapidly growing company revolutionizing IT and security visibility, as a Data Engineer. You will design, build, and optimize data pipelines and infrastructure on AWS. Collaborate with various teams to meet data needs and solve complex integration problems. Lead data projects from design to monitoring. This role requires 5+ years of experience in big data pipelines, proficiency in SQL and NoSQL databases, and expertise in programming languages like Python or Java. Axonius offers a flexible work culture, remote work options, professional development budget, and various employee well-being initiatives.

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 in 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
• Familiar with technologies such as Kafka, Snowflake, MongoDB, Airflow, Docker, Kubernetes (K8S), and Terraform

Benefits

• Yearly budget to every employee, enabling them to invest in their own growth and learning according to their specific needs and aspirations
• Three long weekends throughout the year
• Special parental leave policy which allows both primary caregiver and secondary caregiver to spend substantial time with their newborn
• 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
• Psychological support services and support services
• Flexible working culture
• Majority of our employees work remotely
• English lessons