Junior Software Engineer - Data Integration

What you'll do

• Contribute to data pipelines for ingestion, transformation, and distribution of datasets, implementing features that require analysis across a variety of factors
• Build ETL/ELT workflows using distributed computing frameworks on cloud infrastructure, applying team standards and adapting approaches where needed
• Implement and test API endpoints that expose ingestion, processing, and distribution capabilities, with a focus on correctness and clear contracts
• Write automated tests and contribute to data quality validation and monitoring for pipeline components
• Apply Samba's platform patterns to produce reliable, maintainable code that fits within the broader system
• Implement partner and destination integrations against established patterns
• Apply privacy and data governance requirements (GDPR, CCPA) to the code, following established team patterns and escalating questions appropriately
• Collaborate closely with the team and reason about how work fits within the broader data platform
• Participate in code reviews as author and reviewer
• Write clear, well-tested, maintainable code that meets the team's quality standards
• Communicate proactively about blockers, progress, and questions, and engage constructively in team discussions
• Participate in on-call rotations and contribute to improving operational practices
• Implement monitoring and alerting for owned components
• Help maintain and improve CI/CD pipelines and testing coverage for team systems

Requirements

• 2+ years of professional software engineering experience with a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or an advanced degree without prior experience, or equivalent)
• Experience in data engineering, backend systems, or distributed data infrastructure
• Proficiency in Python and SQL; ability to write clean, tested, production-ready code
• Hands-on experience with AWS or GCP and their core data services
• Experience with data pipeline tools or workflow orchestration (e.g., Airflow, dbt, or equivalent) in a production environment
• Familiarity with data privacy regulations (GDPR, CCPA)
• Ability to communicate clearly, ask good questions, and work collaboratively within a team
• Preferred: Exposure to distributed processing frameworks (e.g., Spark, Databricks, or equivalent)
• Preferred: Familiarity with streaming or event-driven data systems (e.g., Kafka or equivalent)
• Preferred: Exposure to ad tech, audience activation, data licensing, or digital media

Tech stack

Benefits