Data Engineer

🕒 August 31

🇨🇴 Colombia – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sonatype

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

💰 $80M Private Equity Round on 2018-09

Cybersecurity • Software • SaaS

Sonatype is a leader in software composition analysis (SCA) and software supply chain management. The company provides solutions to automate software supply chain security, build centralized components, control open source risks, and simplify software bill of materials (SBOM) compliance. Sonatype offers tools such as Nexus Repository, Repository Firewall, Lifecycle, and SBOM Manager, which help developers deliver quality code securely and manage vulnerability risks. Sonatype integrates with numerous tools and languages, supporting dev, security, and ops teams to ensure secure deployments. The company is recognized for its end-to-end software supply chain solutions that leverage artificial intelligence to predict and intercept malicious components, enhancing security across industries such as financial services and technology.

📋 Description

• 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 including Spark and AWS services such as S3, SNS, SQS, ECS/Fargate, and EMR • Monitor data pipelines for quality, performance, and reliability • Write clear documentation and contribute to test coverage and CI/CD processes • Help shape the data lakehouse architecture and platform roadmap

🎯 Requirements

• 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 such as Spark, Kafka, or SQS • Familiarity with NoSQL stores such as Cassandra or HBase • Understanding of data modeling for analytics and reporting • Proficient in English with strong communication skills, including explaining or demonstrating work to non-engineers • Self-driven and able to learn new technologies and frameworks with little guidance • Methodical debugging and ability to break complex problems into smaller steps • Openness to feedback and iterative improvement through code reviews • Daily use of AI-assisted engineering tools such as Claude Code, Codex, or Cursor • Reliable internet connection for video, audio, and screen sharing

🏖️ Benefits

• Parental leave • Diversity and inclusion working groups • Flexible working practices • Equal-opportunity employment and disability accommodations • Modern tools in a cloud-first, open-source-friendly environment • Team culture valuing clarity, learning, and autonomy