Senior Data Engineer, E-Commerce & Consumer Data Domain

JOB DESCRIPTION

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.

At Levi Strauss & Co, we revolutionizing the apparel industry and redefining the way denim is made. We are propelling one of the world’s most iconic brands into the future by using technologies such as machine learning-powered denim finishes and advanced algorithms to better meet consumer needs and improve our supply chain. 

Join our Data & AI Platform Engineering organization and lead the charge in transforming the fashion industry. As a Senior Data Engineer, you will develop groundbreaking solutions that grow our global business forward while being part of a dynamic, cross-continental data community.  

You will be a necessary member of the Ecommerce & Consumer Data Domain team. You will work on a cloud native and modern data platform, building data pipelines to building data models and transformations to delivering data products and dashboards to our partners. You will provide technical expertise and operational support to meet the data needs for our businesses. From migrating existing workloads to building advanced cloud solutions, you will help shape and build strategies to increase agility, improve security, reduce costs, and meet use targets. 

You will collaborate with teams including Analysts, Data Scientists, SREs, and other engineers, focusing on delivering high-quality data products that foster a culture of engineering excellence. We are excited by someone who brings thoughtful perspective, empathy, creativity, and a positive attitude to solve problems at scale. 

About the Job

• Architect and build scalable data pipelines to ingest, process, and transform large-scale clickstream and event-based data from multiple sources. 
• Design and improve data models for behavioral analytics, ensuring efficient querying and storage for reporting and ML-driven insights. 
• Develop ELT processes for structured and semi-structured data using modern data frameworks. 
• Ensure data quality, governance, and observability by implementing validation and monitoring mechanisms to maintain trust in analytical outputs. 
• Work closely with teams—including Data Scientists, Product Managers, and Marketing Analysts—to deliver applicable insights for user journey analysis, A/B testing, and personalization strategies. 
• Improve cloud infrastructure for cost, security, and performance in handling web-scale analytics workloads. 
• Lead junior engineers, promoting best practices in data engineering, coding, and architectural design. 
• You will report to the Senior Solutions Architect.
• This role can be fully remote.

About You

• 8+ years of experience in Data Engineering, specializing in Web Analytics and Clickstream Data processing. 
• Hands-on experience with either Segment, Adobe, Amplitude and Google Analytics data is plus 
• Knowledge of data warehousing, dimensional modeling, and ETL best practices for large-scale analytics. 
• Proficiency in SQL and a programming language such as Python or Java for data transformation. 
• Hands-on experience with cloud-based data platforms (GCP, AWS, or Azure) Google Cloud (BigQuery, Dataflow, Pub/Sub, Cloud Functions). 
• Experience with modern data transformation tools such as DBT, PySpark, or Snowpark. 
• Familiarity with data visualization tools (Looker, Tableau) and marketing analytics platforms (Google Analytics, Adobe Analytics). 
• Expertise in event-driven architectures, data streaming, and real-time processing using technologies like Pub/Sub, Kafka, Spark streaming. 
• Experience with A/B testing, attribution modeling, Consumer analytics and user segmentation. 
• Experience working with CI/CD, GitHub, and Agile development methodologies. 
• Experience in solving complex problems and delivering scalable data solutions. 

The expected starting salary range for this role is $128,300 - $183,500 per year. We may pay more or less than the posted range based on the location of the role. The amount a employee will earn within the salary range will be based on factors such as relevant education, qualifications, performance and our needs.

Levi Strauss & Co. (LS&Co.) offers a total rewards package that includes base pay, incentive plans, 401(k) matching, paid leave, health insurance, product discounts, and more designed to help you and your family stay healthy, meet your financial goals, and balance the demands of your work and personal life. Available benefits and incentive compensation vary depending upon the specifics of the role; details relating to a specific role will be made available upon request. Read more about our benefits here.

LS&Co. is an affirmative action and equal employment opportunity employer. We welcome and value people from diverse cultures, backgrounds, and experiences to make LS&Co. a collective success.

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EOE M/F/Disability/Vets

LOCATION

FULL TIME/PART TIME

Current LS&Co Employees, apply via your Workday account.