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Senior Data Engineer

📁
Information Technology
💼
Corporate

NEIMAN MARCUS GROUP

 

 

Neiman Marcus Group (NMG) has been the premier destination for luxury fashion and goods, superior service, and an elevated retail experience for more than a century. Today, 9,000 associates contribute to the success of NMG’s brands: Neiman Marcus, Bergdorf Goodman, Last Call, and Horchow. There are 38 full-line Neiman Marcus stores in cosmopolitan markets across the United States and a sophisticated digital platform that attracts shoppers worldwide. Bergdorf Goodman operates two stores in landmark locations on Fifth Avenue in New York City and BergdorfGoodman.com, catering to loyal luxury customers globally. NMG also owns five Last Call stores and Horchow.com, an e-commerce site that offers premium furniture and home decor.

 

As an organization, NMG is on a transformational journey to become the preeminent luxury customer platform. NMG continues to deliver the best integrated customer experience and has evolved the business to succeed in the ever-changing retail landscape. NMG is a relationship business. What differentiates the organization from other luxury retailers are its unique assets: a strong store footprint, the most knowledgeable associates, an engaging online experience, solid brand partnerships, innovative digital and in-store experiences, the most loyal luxury customer base, and a strong balance sheet.

 

Our customers will always be at the center of everything NMG does. The company continues to reinvest in new technologies that enhance the customer experience. NMG meets customers where they are. NMG’s goal is to offer customers a seamless experience across its stores, online, and remote digital selling.

 

NMG’s priority is to develop a highly engaged and high-performing team where everyone belongs. The business attracts and retains best-in-class talent through unique offerings provided to associates in addition to standard employer benefits. These include an innovative way of working, associate discounts on merchandise, tuition reimbursement, associate hardship fund, and paid time off to volunteer, to name a few. 

 

As part of NMG’s Environmental, Social, Governance (ESG) work, the organization is focused on driving its core value of being “All Heart.” NMG is also assessing its current environmental and social impact while developing a three-year plan to lead the luxury industry in its commitment and transparency to environmental and social sustainability. NMG strives to become an employer of choice, driven by a culture of Belonging. A dedicated team focuses on this journey, directly impacting how NMG conducts business throughout the workforce, workplace, and marketplace dimensions.

 

NMG has incredibly passionate and committed corporate and store associates. NMG offers associates an environment where everyone feels welcomed, nurtured, and empowered. Our associates are the heart of NMG. As an organization, NMG leads with love – love for customers, love for associates, and love for brand partners.

 

This is an exciting opportunity to be part of the Data & Analytics Delivery Organization at Neiman Marcus.  Neiman Marcus is going through a digital transformation and insights from our data are driving the transformation of Neiman Marcus Group into a Luxury Customer Platform and providing the best customer experience across all our brands.

 

We are looking for a Senior Data Engineer that will have the unique combination of business acumen needed to interface directly with key stakeholders to understand the problem along with the skills and vision to translate the need into a world-class technical solution using the latest technologies.  You will be in a hands-on role and responsible for building data engineering solutions for NMG Enterprise using cloud-based data platform. You will provide day-to-day technical deliverables and participate in technical design, development, and support for data engineering workloads.

 

Job Requirements

  • Understand and Analyze data from multiple data sources and develop technology to integrate the enterprise data layer
  • Create robust and automated pipelines to ingest and process structured and unstructured data from source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
  • Work activity includes processing complex data sets, leveraging technologies used to process these disparate data sets and understanding the correlations as well as patterns that exist between these different data sets
  • Implement orchestrations of data pipelines and environment using Airflow
  • Implement custom applications using the Kinesis, Lambda and other AWS toolset as required to address streaming use cases
  • Implement automation to optimize data platform compute and storage resources
  • Develop and enhance end to end monitoring capability of cloud data platforms
  • Participate in educating and cross training other team members
  • Provide regular updates to all relevant stakeholders
  • Participate in daily scrum calls and provide clear visibility to work products

 

Job Requirements

  • BS in Computer Science or related field
  • 6+ years of experience in the data engineering and analytic space
  • 5+ years of Python experience. Solid programing experience in Python - needs to be an expert in this 4/5 level. (Must have strong Python skills, along with lambdas and Airflow Dag processing.)
  • 5+ years of RDBMS concepts with strong data analysis and SQL experience
  • 4+ years of Linux OS command line tools and bash scripting proficiency
  • 1+ year of experience working on Big Data Processing Frameworks and Tools
  • Exposure to software engineering such as parallel data processing, data flows, REST

APIs, JSON, XML, and micro service architectures

  • Certification –preferably AWS Certified Big Data or any other cloud data platforms, big data platforms

 

Nice to have:

  • Kubernetes and Docker experience a plus
  • Prior working experience on data science work bench
  • Knowledge of machine learning pipelines (e.g., train/test splitting, scoring process, etc.)

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Los Angeles and San Francisco Applicants: Neiman Marcus will consider for employment qualified applicants with criminal history as required by applicable law.
If you have a disability under the Americans with Disabilities Act or similar law, and you need assistance in accessing our Career Center or wish to discuss potential accommodations related to applying for employment at our Company, please contact ApplicantSupport@NeimanMarcus.com.
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