Data Engineer

• 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

Required Qualifications (Minimum Requirements):

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical discipline.

• 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.

• Proven problem-solving capabilities with an emphasis on diagnosing complex data issues, enhancing pipeline reliability, and ensuring data integrity.
   

Preferred Qualifications:

• 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).

• Demonstrated expertise in implementing sophisticated data quality processes, validation methods, and compliance standards within marketing analytics.

• Extensive experience with agile methodologies, CI/CD processes, and continuous improvement practices.

• Deep understanding of luxury retail analytics, customer lifecycle analytics, and specific business performance metrics relevant to high-end retail environments.

• Exceptional interpersonal skills, with a proven track record of collaborating effectively with technical teams and business stakeholders.

Your Life and Career at Saks:

• Exposure to rewarding career advancement opportunities

• A culture that promotes a healthy, fulfilling work/life balance 

• Benefits package for all eligible full-time employees (including medical, vision and dental). 

• An amazing employee discount 

At this time, we are not providing immigration sponsorship/support for this role.

Thank you for your interest with Saks. We look forward to reviewing your application.

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. In addition to federal law requirements, Saks complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Saks welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used.