Data Software Engineer

About the Position

We are searching for a talented and experienced Data Software Engineer to join our team and drive the creation of data-focused applications.

You will utilize leading-edge Big Data tools, cloud technologies, and collaborate across teams to deliver innovative solutions that solve intricate business problems.

Responsibilities

• Engineer and enhance data software applications that support Data Integration Engineers
• Design and deploy advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data tools
• Leverage AWS services to add cloud features that improve data workflow efficiency
• Partner with product and engineering teams to gather requirements and enable decision support
• Collaborate with architects, technical leads, and other teams to maintain solution consistency
• Assess business goals and technical constraints to recommend the right implementations
• Lead code review activities to encourage best practices and strong code quality
• Execute validation and testing across functional, technical, and performance criteria
• Produce and maintain detailed documentation to support ongoing development
• Work directly with clients to understand needs and provide expert technical direction

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related area
• 2+ years of hands-on Data Software Engineering experience with Big Data technologies
• Good command of data engineering principles covering data management, storage, visualization, operations, and security
• Strong grasp of ingestion pipelines along with Data Warehousing and Data Lakes
• Programming experience in Python, Java, Scala, or Kotlin
• Advanced knowledge of SQL and NoSQL data stores
• Proficiency with Spark and PySpark in production data solutions
• Ability to architect and deploy AWS-based solutions using Glue and RedShift
• Familiarity with CI/CD approaches for integration and deployment workflows
• Exposure to Docker, Kubernetes, and Yarn for containerized delivery
• Working experience with Databricks for analytics and data engineering
• English level of minimum B2 (Upper-Intermediate) for effective communication

Nice to Have

• Working knowledge of Hadoop, Hive, Flink, and related Big Data tooling
• Understanding of SDLC methodologies with Agile as a key approach
• Experience applying and governing SDLC implementation practices

We Offer

• Remote work in Colombia

About the Company

[Company description if present]