Sr. Data Engineer

About the role

The Senior Data Engineer will design and optimize scalable data pipelines and models that power the business insights driving Fabletics' growth. They will work closely with teams across Product, Marketing, Finance, and Data Science to deliver robust technical solutions that improve data accessibility, performance, and governance.

Responsibilities

• Design and build scalable data pipelines and models using Databricks, PySpark, and SQL to support Fabletics' commerce, membership, and marketing data needs.
• Integrate and transform data from multiple sources — including e-commerce platforms, CRM, logistics, and third-party tools — with strong quality, observability, and governance standards.
• Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions.
• Develop and maintain infrastructure using Terraform and support DevOps tasks including deployments, monitoring, and environment management.
• Optimize pipelines for reliability, performance, and cost efficiency across cloud environments.
• Collaborate closely with Product, Data Science, Marketing Analytics, and Engineering teams to deliver scalable, efficient data solutions that support Fabletics' pace of business.

Requirements

• 6+ years of relevant development experience—in data platform or data engineering—in fast-paced environments.
• Extensive experience in data engineering, including scalable pipeline development, data integration, and data modeling.
• Strong proficiency in SQL, Python, PySpark, Databricks, Snowflake, and workflow orchestration with Airflow.
• Hands-on experience with CI/CD using GitHub Actions and infrastructure automation with Terraform.
• Strong grounding in data governance, data quality, and compliance best practices.
• Ability to design resilient data architectures across warehouses, lakes, and streaming systems.
• Proven skill in translating complex business requirements into effective, maintainable data solutions.
• Experience with machine learning concepts and how they integrate with data engineering workflows.
• Genuine interest in integrating AI and LLMs into daily engineering work, including agentic development patterns — building autonomous, multi-step AI workflows that enhance data pipelines and engineering productivity — without sacrificing simplicity or code maintainability.
• Familiarity with foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.

Qualifications

• Foundational AI literacy, including experience using generative AI tools.
• A proactive mindset to experiment with new technologies to drive productivity and innovation.

Skills

• SQL
• Python
• PySpark
• Databricks
• Snowflake
• Airflow
• Terraform
• CI/CD with GitHub Actions

Benefits

At Fabletics, we offer a hybrid work schedule, discretionary paid time off, summer Fridays, healthcare plans, employee discounts, 401k, an annual bonus program, and equity program. The annual base salary range for this position is from $140,000-$150,000.

Pay

The annual base salary range for this position is from $140,000-$150,000.

Schedule

This role is based in our El Segundo Headquarters.

Company Info

Fabletics, Inc. is an equal opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable law. At Fabletics, Inc., we champion a vibrant workplace culture that thrives on diversity and inclusivity. We encourage you to apply regardless of meeting all qualifications and/or requirements.