Note: The job is a remote job and is open to candidates in USA. Fabletics is currently looking for a Senior Data Engineer. In this role, you will design and optimize scalable data pipelines and models that drive business insights and support various teams across the company. Your work will enhance data accessibility, performance, and governance, contributing to Fabletics' growth as a data-informed organization.
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
Skills
- 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
- Familiarity with machine learning concepts and how they integrate with data engineering workflows
- A 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
- Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation
- Bonus: experience in retail, e-commerce, or subscription/membership business models
Benefits
- Hybrid Work Schedule*
- Discretionary Paid Time Off*
- Summer Fridays*
- Healthcare Plans
- Employee Discounts
- 401k
- Annual Bonus Program
- Equity Program*
Company Overview
Company H1B Sponsorship