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 in 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.

Design and Develop Complex Data Pipelines and ETL Processes

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

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

Tech lead a small team to contribute to high-impact projects.

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

To determine if this role is right for you, consider the following requirements:

• 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 is a plus.