Staff Data Engineer

Sonatype | General Data Engineering | Software supply chain security

Remote In-Country

Full Time

Canada

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 Engineer 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.

At Sonatype, we:

Use data with purpose: you'll get the chance to work on problems that directly impact how the world builds secure software
Use modern tooling: you'll get the chance to leverage the best of open-source and cloud-native technologies
Have a deep collaborative culture: you'll be joining a passionate team that values learning, autonomy, and impact

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 using Databricks and Spark
Implement observability, alerting, and data quality monitoring for critical pipelines
Drive best practices in data engineering, including documentation, testing, and CI/CD
As a Staff Engineer you will help drive long-term architectural vision and mentor the team on engineering best practices, while partnering with stakeholders to ensure data solutions support business outcomes.
Contribute to the design and evolution of our next-generation data lakehouse architecture

What you bring:

8+ years of experience as a Data Engineer or in a similar backend engineering role
Bachelor’s degree in Computer Science, Engineering, or a related technical field
Databricks Optimization: Tune Spark jobs, optimize join performance, and manage Delta Lake architecture for batch and streaming data.
Experience leveraging AI-assisted development tools and AI/ML technologies to improve data engineering workflows, developer productivity, data quality and ops.
Strong programming skills in Python, Scala, or Java
Hands-on experience with distributed data systems like Spark or Kafka
Proficient in writing complex SQL and NoSQL queries and optimizing queries for performance
Experience building and maintaining robust ETL/ELT pipelines in production
Understanding of data modeling techniques (star schema, dimensional modeling, etc.)

It’d be great if you also had:

Familiarity with software supply chain, cybersecurity, or large-scale software ecosystem data
A track record of improving data platform reliability, scalability, performance, and cost efficiency
Familiarity with workflow orchestration tools (Airflow, Dagster, or similar)
Hands-on experience with cloud data platforms, particularly AWS
Familiarity with modern table formats such as 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

Things we are proud of:

2026 Gartner® Magic Quadrant™ Leader for Software Supply Chain Security
2026 Celebrating 15 Years of Sonatype Research Labs – Industry-leading software supply chain and open source security research
2026 Founding Member of the Linux Foundation Initiative for Open Source Sustainability
2026 State of the Software Supply Chain® Report – Continuing industry leadership in software supply chain security and AI security research
2025 Visionary in Gartner® Magic Quadrant™ for Application Security Testing!
2025 AI Compliance Solution of the Year - AI Breakthrough Awards
2025 DEVIES Award to our SBOM Manager for a new product for its innovation and impact in developer technology
2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report)
Constellation AST Shortlist: Sonatype has been listed on the Constellation ShortList™ for Application Security Testing for 2024
Data Breakthrough Awards: Sonatype was announced as a 2024 winner in the "Open Source Data Solution of the Year."
SD Times: Best in Show Security
Fast Company Best Workplaces for Innovators 2024
The Herd Top 100 Private Software Companies 2024
Diversity & Inclusion Working Groups
Parental Leave Policy
Paid Volunteer Time Off (VTO)

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.

Required Skills

airflowapacheawsci/cddagsterdatabricksdata_science/data_engineeringetljavakafkamlnosqlpythonscalasql

Required Languages

🇬🇧 English

Key competency: General Data Engineering