Data Engineer • Senior

Who you are

You have 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments — you've tackled complex data challenges and understand the intricacies of data integration. Your proficiency in programming languages such as Python, Scala, Java, or Go, combined with your expertise in both SQL and NoSQL databases, allows you to create robust data solutions that meet business needs.

You are well-versed in software engineering best practices, including testing, code reviews, design documentation, and CI/CD — you understand the importance of maintaining high-quality code and efficient workflows. Your experience with AWS enables you to build and optimize cloud data lakes, ensuring that data is managed securely and efficiently to support enterprise-scale operations.

You thrive in collaborative environments, leading end-to-end data projects from initial infrastructure design through to production monitoring and optimization — your leadership skills help guide teams to success while solving integration challenges with optimal ETL/ELT patterns and query techniques. You are passionate about empowering business stakeholders with comprehensive visibility and automation of key processes, driving strategic impact across the organization.

Desirable

Experience with machine learning pipelines and data tools is a plus, as is familiarity with cloud architecture best practices. You are eager to stay updated with the latest technologies and methodologies in data engineering, continuously seeking to improve your skills and contribute to the team's success.

What you'll do

In this role, you will be responsible for designing and building all aspects of the platform's data infrastructure, including ML pipelines and supporting infrastructure — your work will directly empower business stakeholders to gain comprehensive visibility and automate key processes. You will optimize an AWS-based Data Lake, applying cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.

You will lead project delivery, managing end-to-end data projects from initial design through to production monitoring and optimization — your ability to solve integration challenges will be crucial as you implement optimal ETL/ELT patterns and query techniques to address complex data integration problems sourced from both structured and unstructured data.

Collaboration is key, as you will work closely with cross-functional teams to ensure that data solutions align with business objectives — your insights will help shape the direction of data initiatives and contribute to the overall success of the organization.

What we offer

At Axonius, you will be part of a dynamic team that values innovation and collaboration — we encourage you to apply even if your experience doesn't match every requirement. We offer competitive compensation and opportunities for professional growth, allowing you to expand your skills and advance your career in data engineering. Join us in transforming how organizations manage and leverage their data to drive strategic impact.