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
