Data Engineer: Build Scalable Pipelines & Data Lakehouse

Sonatype Inc

Colombia

Remote

COP 60.000.000 - 120.000.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Parental leave
Diversity and Inclusion groups
Flexible working

Zusammenfassung

Sonatype is seeking a data engineer to build and maintain reliable data pipelines, develop analytics-ready data models, and ensure data quality across platforms. You will work with Spark, AWS services, and NoSQL stores while applying SQL and Python/Java/Scala skills across collaborative teams.

The role emphasizes CI/CD, documentation, and opportunities to influence our data lakehouse architecture and platform roadmap, in a cloud-first environment that values autonomy and learning.

Qualifikationen

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 2–4 years of experience in data engineering or backend data roles.
  • 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.

Aufgaben

  • 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.

Kenntnisse

Java
Scala
Python
SQL
Spark
Kafka
SQS
NoSQL
English
Communication
Problem-solving

Ausbildung

Bachelor's degree in Computer Science/Engineering or related field

Tools

dbt
Databricks
Terraform
CloudFormation

Jobbeschreibung

Sonatype is seeking a data engineer to build and maintain reliable data pipelines, develop analytics-ready data models, and ensure data quality across platforms. You will work with Spark, AWS services, and NoSQL stores while applying SQL and Python/Java/Scala skills across collaborative teams.

The role emphasizes CI/CD, documentation, and opportunities to influence our data lakehouse architecture and platform roadmap, in a cloud-first environment that values autonomy and learning.

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