Sr. Product Development Engineer I

We are seeking a skilled and passionate Sr. Product Development Engineer I to join our Data Platform and BI Engineering team as a Full Stack Engineer. In this role, you will design and build custom analytics and BI dashboards end-to-end, from backend data services and APIs (Java/Spring Boot or Python) to dashboard-facing front-end applications (React/Angular/Vue) backed by well-modeled data in Snowflake and orchestrated via Airflow. You will bring a strong analytics and BI quotient, translating business and reporting needs into scalable, high-performance insights products.

Requirements:

• 4-6 years of hands-on software/data engineering experience, preferably with a digital media or digital advertising company.
• Proven experience building custom analytics/BI dashboards end-to-end, spanning both backend data services and front-end visualization layers. This is a must-have for the role.
• Proficiency in at least one backend language, such as Java (Spring Boot) or Python, and one modern front-end framework, such as React, Angular, or Vue.
• Strong SQL experience, including writing and optimizing complex queries against distributed data stores such as Databricks, Snowflake, Hive, Presto, or Aurora.
• Experience with data pipeline and workflow orchestration tools such as Apache Airflow.
• Experience with RESTful APIs, microservices, and distributed systems.
• Strong background in relational databases (MySQL, Postgres), including schema and query design.
• Strong analytics and BI quotient; ability to translate business and reporting questions into effective data models and visualizations.
• Experience delivering products in an agile software development environment, including sprint work in Jira.
• Experience working with large datasets (terabytes or more).
• Strong analytical, communication, and cross-team collaboration skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Bachelor's degree in computer science, data analytics or science, applied mathematics, statistics, a related technical field, or equivalent experience.

Preferred Qualifications:

• Experience with Databricks (Unity Catalog, Delta Lake) and Apache Spark for large-scale data processing is good to have, not required.
• Experience in ad tech, particularly linear, addressable, or programmatic advertising.
• Experience with data streaming technologies such as Apache Kafka or AWS Kinesis.
• Experience with cloud platforms, particularly AWS (S3 EMR, Glue, Lambda).
• Experience with modern DevOps tools such as Docker, Kubernetes, and Terraform.
• Experience with network topologies, systems architecture overviews, and entity-relationship diagrams (ERDs).
• Strong presentation and documentation skills, including experience with Confluence, PowerPoint, and Lucidchart.