Senior Software Engineer - Data Engineering - Moloco Commerce Media

The Impact You’ll Be Contributing to Moloco

• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry.
• You will play a pivotal role designing, developing and optimizing the data infrastructure and pipelines to build robust and scalable solutions that power Moloco’s data-driven products.
• You will mentor others on the team and have the opportunity to lead high impact projects.

The Opportunity

• Design and develop complex data pipelines and ETL processes for manipulating and managing big data.
• Improve cost effectiveness of data pipelines, storage, and databases, both independently and in collaboration with cross-functional teams.
• Design and implement data quality and governance processes to ensure data accuracy, consistency, and compliance.
• Enhance system scalability, availability, and performance across Moloco Commerce Media’s data infrastructure.
• Develop internal tools to boost developer productivity and system efficiency.
• Participate in cross-functional projects and initiatives, providing technical expertise and guidance.
• Collaborate with teams such as Infrastructure, Machine Learning, Data Science, Analytics, and Production to build the best ad platform.
• Tech lead a small team to contribute to high-impact projects.

How Do I Know if the Role is Right For Me?

• Bring 6+ years of software engineering experience using modern languages such as Java, C#, Go, C++, Python, and foundational SQL knowledge, with proficiency in SQL or NoSQL database technologies.
• Demonstrate experience with computer systems architecture, operating systems, or distributed systems.
• Possess extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) or equivalent on-premise systems.
• Apply strong programming fundamentals, testing practices, and knowledge of common algorithms and data structures.
• Exhibit system design and development skills, especially in large-scale environments.
• Work with at least one of the following: data modeling, analytics, data management, or big data processing/MapReduce.
• Display strong analytical and troubleshooting skills in ambiguous or evolving environments.
• Maintain a growth mindset, staying updated on emerging technologies and industry trends, and sharing knowledge with others.
• Communicate and collaborate effectively across teams.
• Deep, hands-on experience in ads infrastructure (bidding, pacing, budget optimization, or measurement) at large revenue scale a plus.