Sonatype
Data Engineer
Employment
Full-timeFrom the employer
Full-Time
Level
Not statedTeam
Engineering - Application Platform / Engineering R&DCountry assessment
Not doable from Austria because it is remote but scoped to Colombia.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
What you'll do:
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Build and maintain reliable data pipelines and ETL/ELT workflows
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Develop and optimize data models for analytics and internal tools
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Work with team members to deliver clean, trusted datasets
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Support core data platform tools like Spark and AWS (S3, SNS, SQS, ECS/Fargate, EMR)
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Monitor data pipelines for quality, performance, and reliability
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Write clear documentation and contribute to test coverage and CI/CD processes
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Help shape our data lakehouse architecture and platform roadmap
What you'll bring:
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Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
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2–4 years of experience in data engineering or a backend data-related role
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Strong skills in Java, Scala, or another backend programming language
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Python (PySpark/pandas) skills
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Experience with SQL and distributed data systems (e.g., Spark, Kafka, SQS)
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Familiarity with NoSQL stores like Cassandra, HBase, or similar
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Understanding of data modeling for analytics and reporting
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Proficient in English with strong communication skills — able to explain or demo work to non-engineers
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Self-driven — picks up new technologies and frameworks with little guidance
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Debugs methodically; breaks complex problems into smaller steps
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Open to feedback — iterates and improves through code reviews
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Uses AI-assisted engineering tools (Claude Code, Codex, Cursor, etc.) as part of daily workflow
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Reliable internet connection to sustain video, audio, and screen sharing
It'd be great if you had:
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Experience with dbt, Databricks, or real-time data pipelines
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Familiarity with cloud infrastructure tools like Terraform or CloudFormation
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Interest in data governance, ML pipelines, or compliance standards
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Personal projects or open source contributions demonstrating initiative
Why you'll love working here:
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Work on data that supports meaningful software security outcomes
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Modern tools in a cloud-first, open-source-friendly environment
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A team that values clarity, learning, and autonomy