Software Data Engineer

What you'll do

• Develop a suite of tools used by the Performance Marketing group.
• Establish and maintain data engineering, modeling, and architectural standards for the team.
• Create and manage end-to-end data pipelines from source systems to final consumers.
• Build high-quality production pipelines and applications based on marketing prototypes.
• Implement quality controls and monitoring to ensure accurate reporting of key business metrics.
• Safeguard in-flight ad campaigns by ensuring optimizations are applied accurately and safely.
• Translate complex business needs into reality-based technical requirements for cross-functional teams.

What we're looking for

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field (or equivalent work experience).
• 3+ years of experience designing and delivering backend architectures in a production environment with a strong understanding of design patterns.
• Ability to discern value in the AI/LLM landscape and apply it effectively to the software development process.
• Experience with Spark and SQL to build maintainable data pipelines on scaled platforms.
• Ability to work in fast-paced environments with cross-functional teams to translate business needs into requirements.
• Experience working effectively with data science teams (preferred).
• Specific experience with Spark, Python, Databricks/Snowflake, AWS, and Terraform (preferred).
• Knowledge of media buying and ad platforms including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp, and DSPs (preferred).