Senior Data Engineer, E-Commerce & Consumer Data Domain

Levi Strauss & Co.; United States; Remote; USD 128,000 - 184,000; Full time

Job summary

An innovative company is seeking a Senior Data Engineer to revolutionize the fashion industry through advanced data solutions. This role involves building a cloud-native data platform, developing data pipelines, and collaborating with a dynamic team to deliver high-quality data products. You will play a crucial role in shaping strategies that improve security, reduce costs, and enhance agility. If you're passionate about data engineering and want to make a significant impact in a forward-thinking environment, this opportunity is perfect for you. Join us in transforming the apparel industry and creating a better future.

Benefits

401(k) matching

Paid leave

Health insurance

Product discounts

Qualifications

• 8+ years of experience in Data Engineering with a focus on Web Analytics.
• Proficiency in SQL and programming languages like Python or Java.
• Experience with cloud platforms, especially Google Cloud.

Responsibilities

• Architect and build scalable data pipelines for large-scale clickstream data.
• Collaborate with Data Scientists and Product Managers for user insights.
• Lead junior engineers and promote best practices in data engineering.

Skills

Data Engineering

Web Analytics

Clickstream Data Processing

SQL

Python

Java

Cloud Platforms (GCP, AWS, Azure)

Data Transformation Tools (DBT, PySpark, Snowpark)

Data Visualization Tools (Looker, Tableau)

Event-Driven Architectures

Tools

Google Cloud (BigQuery, Dataflow, Pub/Sub, Cloud Functions)

GitHub

Job description

Senior Data Engineer, E-Commerce & Consumer Data Domain

Join to apply for the Senior Data Engineer, E-Commerce & Consumer Data Domain role at Levi Strauss & Co.

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 are 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 while being part of a dynamic, cross-continental data community.

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

You will collaborate with Analysts, Data Scientists, SREs, and other engineers, focusing on delivering high-quality data products that foster a culture of engineering excellence. We value thoughtful perspectives, empathy, creativity, and a positive attitude in problem-solving at scale.

Responsibilities

• 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.
• Collaborate with Data Scientists, Product Managers, and Marketing Analysts to deliver insights for user journey analysis, A/B testing, and personalization strategies.
• Enhance cloud infrastructure for cost efficiency, security, and performance in handling web-scale analytics workloads.
• Lead junior engineers, promoting best practices in data engineering, coding, and architectural design.
• This role reports to the Senior Solutions Architect and can be fully remote.

Qualifications

• 8+ years of experience in Data Engineering, with a focus on Web Analytics and Clickstream Data processing.
• Hands-on experience with Segment, Adobe, Amplitude, or Google Analytics data is a plus.
• Knowledge of data warehousing, dimensional modeling, and ETL best practices for large-scale analytics.
• Proficiency in SQL and programming languages such as Python or Java.
• Experience with cloud platforms (GCP, AWS, Azure), especially Google Cloud (BigQuery, Dataflow, Pub/Sub, Cloud Functions).
• Experience with modern data transformation tools like 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 (Pub/Sub, Kafka, Spark Streaming).
• Experience with A/B testing, attribution modeling, consumer analytics, and user segmentation.
• Experience with CI/CD, GitHub, and Agile methodologies.
• Strong problem-solving skills and ability to deliver scalable data solutions.

The expected starting salary range for this role is $128,300 - $183,500 per year. Compensation may vary based on location, education, qualifications, performance, and company needs.

Levi Strauss & Co. offers a comprehensive benefits package, including base pay, incentives, 401(k) matching, paid leave, health insurance, product discounts, and more. Benefits vary by role and location.

We are an equal opportunity employer and value diversity. We welcome applicants from all backgrounds.

Additional Details

• Location: Remote - USA
• Employment Type: Full-time