SPAN Digital is a premium software solution development firm that strategizes, designs, and develops software solutions for clients from startups to global brands. We help engineering teams successfully navigate the challenges caused by the accelerating pace of change in software development, enabling them to build better digital solutions. With headquarters in San Francisco, USA, and development offices in Cape Town, South Africa, and Guadalajara, Mexico, we focus on the entertainment, technology, and medical industries.
We are seeking a Java Engineer with Data Engineering experience to join our expert team focused on executing critical enterprise data processing and pipeline development projects. This role combines developing software engineering skills with hands-on data engineering experience to contribute to production-quality solutions handling large-scale data processing for a client we can't mention, but you’ve definitely heard of!
As an Engineer, you will develop software features and contribute to building quality data processing solutions as part of a collaborative engineering team. You'll apply technical skills to deliver production-ready code while learning from more experienced engineers, taking ownership of well-defined tasks, and demonstrating growing independence in solving technical problems.
Experience Level: 4-7 years in software engineering with foundational data engineering experience
Implement data processing features within large-scale data migration and transformation pipelines
Develop and maintain ETL components using Java, or Scala
following established patterns and best practices
Build data validation and testing components to ensure data quality and pipeline reliability
Contribute to streaming and batch processing solutions using Apache Spark and related technologies
Support data lineage tracking and monitoring systems under guidance from senior engineers
Participate in data pipeline testing and debugging to ensure accuracy and performance
Write clean, maintainable code following team coding standards and best practices
Participate actively in code reviews both as a reviewer and a reviewee to improve code quality
Develop comprehensive unit and integration tests for data processing components
Collaborate on technical design discussions and contribute ideas for solution improvements
Support deployment and monitoring of data processing systems in production environments
Document technical solutions and maintain clear technical documentation
Work effectively within project teams to deliver solutions that provide value to clients
Seek clarification on requirements to ensure solutions align with client expectations and business objectives
Communicate progress and blockers clearly to team leads and project stakeholders
Learn from senior engineers through pair programming, mentorship, and collaborative problem-solving
Contribute to team retrospectives and process improvement initiatives
4-7 years of software engineering experience with foundational technical capabilities
Bachelor's degree in Software Engineering, or related field (or equivalent experience)
Demonstrated experience with Java and/or Scala programming languages
Basic understanding of data engineering concepts and ETL pipelines
Proficiency in Java or Scala with an understanding of functional programming concepts
Familiarity with Apache Spark, PySpark or similar big data processing frameworks
Experience with build tools such as Maven, Gradle, or SBT
Understanding of SQL and relational database concepts
Basic knowledge of distributed systems and data processing patterns
Familiarity with testing frameworks and test-driven development practices
Experience with Scala or Python for data processing applications
Familiarity with Hadoop ecosystem including HDFS, MapReduce, and related tools
Experience with cloud platforms (AWS, GCP, or Azure) and their data services
Familiarity with containerization technologies like Docker and Kubernetes
Knowledge of data formats such as Parquet, Avro, or JSON
Experience with streaming platforms like Apache Kafka, Flink or similar technologies
Understanding of data warehouse and data lake concepts
Exposure to monitoring and observability tools for data pipelines
Experience with development methodologies and collaborative team practices
At SPAN Digital, we believe that product and software solution development is a team activity that requires effective collaboration. We strive to create an environment where team members are comfortable expressing themselves authentically, actively sharing ideas, questions, concerns, and mistakes without fear of retribution, humiliation, or being ignored while delivering world-class solutions.
If you're passionate about data engineering, eager to learn from experienced engineers, and excited to contribute to large-scale data processing solutions, we'd love to hear from you. Join SPAN Digital and build your career in data engineering while working on challenging enterprise projects.
SPAN Digital is an equal opportunity employer committed to diversity and inclusion.