Fabletics is looking for a Senior Data Engineer to design and optimize scalable data pipelines and models. The role involves leveraging cloud technologies, automation, and modern data engineering practices to transform complex datasets into reliable, high-quality assets.
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.
- Familiarity with machine learning concepts and how they integrate with data engineering workflows.
- 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.
Benefits
- Hybrid Work Schedule
- Discretionary Paid Time Off
- Summer Fridays
- Healthcare Plans
- Employee Discounts
- 401k
- Annual Bonus Program
- Equity Program