Data Engineer

Logoslabs; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Parental leave

Diversity and inclusion groups

Flexible working practices

Job summary

Sonatype is seeking a data engineer to build and optimize data pipelines and data models that power analytics and internal tools. You will work with Spark, AWS services, and a team to deliver clean datasets and reliable data products.

The role emphasizes data lakehouse architecture, CI/CD practices, and the use of AI-assisted tooling to accelerate development. Strong English communication and self-motivation are essential.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering or related field.
• 2–4 years of experience in data engineering or backend data roles.
• Strong backend programming in Java/Scala or similar.
• Python (PySpark/pandas) skills.
• Experience with SQL and distributed data systems (Spark, Kafka, SQS).
• Familiarity with NoSQL stores (Cassandra, HBase or similar).
• Understanding of data modeling for analytics and reporting.
• Excellent English communication and ability to explain work to non-engineers.
• Self-driven, curious, and able to learn new technologies; strong debugging skills.
• Comfort with code reviews, CI/CD, and AI-assisted tooling.

Responsibilities

• Build and maintain reliable data pipelines and ETL/ELT workflows.
• Develop and optimize data models for analytics and internal tools.
• Collaborate to deliver clean, trusted datasets.
• Support core data platform tools like Spark and AWS services (S3, SNS, SQS, ECS/Fargate, EMR).
• Monitor data pipelines for quality, performance, and reliability.
• Write clear documentation and contribute to test coverage and CI/CD processes.
• Help shape data lakehouse architecture and platform roadmap.

Skills

Backend programming

Python (PySpark)

SQL

Data modeling

Communication

Self-driven

Problem solving

Education

Bachelor's degree in CS/Engineering or related

Tools

Spark

Kafka

SQS

NoSQL stores

Databricks

dbt

Terraform

CloudFormation

Job description

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.

What you'll do:

• Build and maintain reliable data pipelines and ETL/ELT workflows
• Develop and optimize data models for analytics and internal tools
• Work with team members to deliver clean, trusted datasets
• Support core data platform tools like Spark and AWS (S3, SNS, SQS, ECS/Fargate, EMR)
• Monitor data pipelines for quality, performance, and reliability
• Write clear documentation and contribute to test coverage and CI/CD processes
• Help shape our data lakehouse architecture and platform roadmap

What you'll bring:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 2-4 years of experience in data engineering or a backend data-related role
• Strong skills in Java, Scala, or another backend programming language
• Python (PySpark/pandas) skills
• Experience with SQL and distributed data systems (e.g., Spark, Kafka, SQS)
• Familiarity with NoSQL stores like Cassandra, HBase, or similar
• Understanding of data modeling for analytics and reporting
• Proficient in English with strong communication skills - able to explain or demo work to non-engineers
• Self-driven - picks up new technologies and frameworks with little guidance
• Debugs methodically; breaks complex problems into smaller steps
• Open to feedback - iterates and improves through code reviews
• Uses AI-assisted engineering tools (Claude Code, Codex, Cursor, etc.) as part of daily workflow
• Reliable internet connection to sustain video, audio, and screen sharing

It'd be great if you had:

• Experience with dbt, Databricks, or real-time data pipelines
• Familiarity with cloud infrastructure tools like Terraform or CloudFormation
• Interest in data governance, ML pipelines, or compliance standards
• Personal projects or open source contributions demonstrating initiative

Why you'll love working here:

• Work on data that supports meaningful software security outcomes
• Modern tools in a cloud-first, open-source-friendly environment
• A team that values clarity, learning, and autonomy

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.