Staff Data Engineer

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Sonatype

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

💰 $80M Private Equity Round on 2018-09

Cybersecurity • Software • SaaS

Sonatype is a leader in software composition analysis (SCA) and software supply chain management. The company provides solutions to automate software supply chain security, build centralized components, control open source risks, and simplify software bill of materials (SBOM) compliance. Sonatype offers tools such as Nexus Repository, Repository Firewall, Lifecycle, and SBOM Manager, which help developers deliver quality code securely and manage vulnerability risks. Sonatype integrates with numerous tools and languages, supporting dev, security, and ops teams to ensure secure deployments. The company is recognized for its end-to-end software supply chain solutions that leverage artificial intelligence to predict and intercept malicious components, enhancing security across industries such as financial services and technology.

📋 Description

• Design, build, and maintain scalable data pipelines and ETL/ELT processes • Architect and optimize data models and storage solutions for analytics and operational use • Collaborate with data scientists, analysts, and engineers to deliver trusted, high-quality datasets • Own and evolve parts of the data platform using Databricks and Spark • Implement observability, alerting, and data quality monitoring for critical pipelines • Drive data engineering best practices, including documentation, testing, and CI/CD • Drive long-term architectural vision and mentor the team on engineering best practices • Partner with stakeholders to ensure data solutions support business outcomes • Contribute to the design and evolution of the next-generation data lakehouse architecture

🎯 Requirements

• 8+ years of experience as a Data Engineer or similar backend engineering role • Bachelor’s degree in Computer Science, Engineering, or related technical field • Databricks optimization, including tuning Spark jobs, optimizing joins, and managing Delta Lake architecture • Experience with AI-assisted development tools and AI/ML technologies • Strong programming skills in Python, Scala, or Java • Hands-on experience with distributed data systems such as Spark or Kafka • Proficiency writing and optimizing complex SQL and NoSQL queries • Experience building and maintaining robust production ETL/ELT pipelines • Understanding of data modeling techniques, including star schema and dimensional modeling • Familiarity with software supply chain, cybersecurity, or large-scale software ecosystem data • Track record improving data platform reliability, scalability, performance, and cost efficiency • Familiarity with workflow orchestration tools such as Airflow or Dagster • Hands-on experience with cloud data platforms, particularly AWS • Familiarity with Delta Lake, Apache Iceberg, or Apache Hudi • Experience implementing data observability, lineage, governance, and automated data quality frameworks • Experience designing real-time or streaming data architectures using data lake technologies

🏖️ Benefits

• Parental leave • Diversity and inclusion working groups • Flexible working practices • Paid Volunteer Time Off (VTO)