Senior Data Engineer

1 Month ago • 5 Years + • Data Analysis

Job Summary

Job Description

This role involves designing and building data pipelines, machine learning (ML) pipelines, and infrastructure for the platform. The responsibilities include optimizing an AWS-based Data Lake, collaborating with stakeholders to understand data needs, solving data integration problems, and leading data projects. The ideal candidate should have experience in big data pipelines, programming languages like Python, and building ML/AI-driven production infrastructures. The role requires strong communication skills and a team-oriented approach.
Must have:
  • 5+ years of experience in big data pipelines.
  • Proficiency in SQL and NoSQL databases.
  • Proficient in one or more programming languages (Python, Scala, Java, or Go).
  • Experience with software engineering best practices and automation.
  • Experienced in building and designing ML/AI-driven production infrastructures.
Good to have:
  • Experience with data pipelines and data lakes on AWS.
  • Familiarity with technologies like Kafka, Snowflake, MongoDB, Airflow, Docker, Kubernetes (K8S), and Terraform.
Perks:
  • Long-term career path with yearly budget for growth and learning.
  • Three long weekends throughout the year.
  • Special parental leave policy.
  • Extra vacation days for life events.
  • Psychological support services.
  • Flexible working culture with remote work options.
  • English lessons.

Job Details

We are growing and are looking for future Axonians who value personal and career growth, team-work, and winning!

About Axonius:

Axonius is revolutionizing how IT and security teams gain comprehensive visibility and control over their digital assets and relationships. As the system of record for digital infrastructure, we solve complex challenges by delivering the critical context required to manage and secure devices, users, software, SaaS applications, and cloud services. By connecting to hundreds of data sources and automating key processes, we empower organizations to close security gaps and prevent incidents. 

Learn more about us and take our Product tour.

What your day will look like:

  • 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.

Reach out if you are:

  • 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.
  • 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.
  • 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.

Our culture and Benefits:

  • Axonius is committed to ensuring that each team member has a clear and attainable long-term career path. To support this, 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 understand the importance of maintaining a healthy work-life balance. That's why 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 see you. As part of our culture, our employees' well-being is important to us.That’s why we offer psychological support services and support services. 
  • While we have physical offices in the United State, Brazil, and Tel Aviv, we embrace a flexible working culture. The majority of our employees work remotely, regardless of their location around the globe. This flexibility allows us to tap into a diverse talent pool and enables our team members to work in a way that suits their individual preferences and circumstances.
  • As a global company, we strive for excellence in everything we do. To support our employees in communicating effectively across borders, we provide English lessons as part of our commitment to their success.

 

Equal opportunities:

At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives, regardless of race, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status. 

 

#LI-HYBRID

#LI-RV1 

 

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About The Company

Axonius gives customers the confidence to control complexity by mitigating threats, navigating risk, automating response actions, and informing business-level strategy. With solutions for both cyber asset attack surface management (CAASM) and SaaS management, Axonius is deployed in minutes and integrates with hundreds of data sources to provide a comprehensive asset inventory, uncover gaps, and automatically validate and enforce policies. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius covers millions of assets, including devices and cloud assets, user accounts, and SaaS applications, for customers around the world. For more, visit Axonius.com.

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