The Data Engineer will play a pivotal role within the Machine Learning team at Saks Fifth Avenue, focusing on designing, implementing, and optimizing sophisticated data workflows tailored to our fast-paced marketing environment.
Requirements
- 3+ years of professional experience building and managing data pipelines using Apache Airflow, particularly in Kubernetes environments
- Extensive experience integrating, managing, and optimizing complex data streams from diverse marketing sources such as Google Analytics, Salesforce Marketing Cloud, Facebook Ads, or similar platforms
- Advanced proficiency in SQL, with expertise in data transformation and complex querying
- In-depth scripting and automation experience, particularly with Python, for complex data workflows and systems
- Comprehensive understanding of data warehousing, dimensional modeling, ETL frameworks, and performance optimization strategies
- Hands-on experience architecting, deploying, and managing scalable data solutions on cloud platforms such as Google Cloud Platform or AWS
- Strong knowledge of streaming technologies, event-driven architecture, and real-time data integration frameworks (e.g., Apache Kafka)
Responsibilities
- Design, implement, and optimize scalable data pipelines using Apache Airflow on Kubernetes to support advanced marketing analytics and customer segmentation initiatives
- Integrate, manage, and transform complex data streams from diverse marketing sources (e.g., Google Analytics, Salesforce Marketing Cloud, Facebook Ads) to ensure seamless delivery to analytics platforms
- Develop and maintain robust ETL workflows and data warehousing solutions, leveraging advanced SQL and Python scripting to automate and enhance data processing
- Proactively monitor, troubleshoot, and improve data reliability, pipeline performance, and data integrity, addressing complex data issues and bottlenecks
- Collaborate closely with marketing stakeholders and cross-functional teams to deliver high-quality, actionable data for strategic decision-making in a fast-paced environment
- Contribute to the adoption of best practices in data quality, compliance, and continuous delivery, with opportunities to influence cloud architecture, real-time data integration, and luxury retail analytics
- Ensure seamless data delivery to analytics platforms
Other
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical discipline
- At this time, we are not providing immigration sponsorship/support for this role
- Saks provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics
- Exceptional interpersonal skills, with a proven track record of collaborating effectively with technical teams and business stakeholders
- A culture that promotes a healthy, fulfilling work/life balance
