Staff Data Engineer

Sonatype is the software supply chain security company. We provide the world's best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale.

As founders of Nexus Repository and stewards of Maven Central, the world's largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development.

More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains.

We're looking for a Staff Data Quality Analyst to join our growing Data Platform team. You'll play a key role in designing and scaling the infrastructure and pipelines that power analytics, machine learning, and business intelligence across Sonatype.You'll work closely with stakeholders across product, engineering, and business teams to ensure data is reliable, accessible, and actionable. This role is ideal for someone who thrives on solving complex data challenges at scale and enjoys building high-quality, maintainable systems.

What You'll Do

• 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 our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake)Implement observability, alerting, and data quality monitoring for critical pipelines
• Drive best practices in data engineering, including documentation, testing, and CI/CD
• Contribute to the design and evolution of our next-generation data lakehouse architecture
  
  

What We're Looking For

• 8+ years of experience as a Data Engineer or in a similar backend engineering role
• Strong programming skills in Python, Scala, or Java Hands-on experience with HBase or similar NoSQL columnar stores
• Hands-on experience with distributed data systems like Spark, Kafka, or Flink
• Proficient in writing complex SQL and optimizing queries for performance
• Experience building and maintaining robust ETL/ELT pipelines in production
• Familiarity with workflow orchestration tools (Airflow, Dagster, or similar)
• Understanding of data modeling techniques (star schema, dimensional modeling, etc.)
  
  

Why You'll Love Working Here

• Data with purpose: Work on problems that directly impact how the world builds secure software
• Modern tooling: Leverage the best of open-source and cloud-native technologies
• Collaborative culture: Join a passionate team that values learning, autonomy, and impact
  
  

At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.