At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And thats exactly how we like it. Whether you're welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you're not expected to fit a mold. You're encouraged to break it and create something better.
Overview
The Senior Data Engineer at Crocs, Inc. will design, build, and scale our next-generation cloud data platform. This role will play a critical part in developing a modern Snowflake-based data ecosystem, leveraging dbt for transformation, managed Airflow (Astronomer) for orchestration, and emerging AI/ML tooling to unlock advanced analytics and intelligent data products. This role will partner closely with analytics, data science, and business stakeholders to deliver reliable, scalable, and well-governed data solutions that power enterprise decision-making.
What Youll Do
Design and implement scalable data pipelines using ELT patterns in Snowflake.
Build and maintain transformation workflows using DBT, ensuring modular, testable, and reusable models.
Develop and orchestrate pipelines using managed Airflow (Astronomer) with production-grade DAG design.
Support a medallion architecture (Bronze, Silver, Gold) with clear data contracts and domain ownership.
Define and implement scalable data models using dimensional modeling (Kimball) and modern analytics engineering practices.
Partner with domain teams to design business-aligned data models and curated data products.
Contribute to data architecture decisions around domain-oriented design and data sharing strategies.
Apply software engineering best practices including:
CI/CD pipelines (GitHub Actions, Azure DevOps)
Automated testing (dbt tests, data quality frameworks)
Code reviews and version control
Optimize performance and cost across Snowflake (warehouses, query tuning, storage optimization).
Design robust, scalable workflows in Airflow (Astronomer), including dependency management, retries, and observability.
Automate ingestion and transformation processes using event-driven or scheduled patterns.
Improve reliability and reduce manual intervention through proactive monitoring and alerting.
Enable data for AI/ML use cases, including feature engineering and model-ready datasets.
Integrate modern AI tooling such as:
LLM-powered data workflows (e.g., metadata generation, query generation, documentation)
Data quality anomaly detection
AI-assisted development (e.g., code generation, testing acceleration)
Collaborate with data science teams to operationalize ML models and pipelines.
Implement data quality checks, lineage tracking, and monitoring across pipelines.
Ensure compliance with data governance standards and secure data access patterns.
Contribute to cataloging and documentation (e.g., Collibra, Alation, or similar tools).
Partner with analytics, product, and business stakeholders to translate requirements into scalable solutions.
Mentor junior and offshore engineers and promote best practices across the team.
Drive continuous improvement and adoption of modern data engineering standards.
What Youll Bring to the Table
#LI-AE1
The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment. We accept applications on an ongoing basis.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.
Title: Sr. Data Engineer
Salary or Pay Range: $115,000 - $125,000
Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities.
At Crocs, Inc. we believe in the power of a blend of in-person and virtual collaboration to drive creativity and strengthen relationships. Your participation in this flexible schedule plays a key role in building a connected and successful team. In-office requirements vary by our work personas: Resident (5 days), Collaborator (4 days), Connector (2-3 days), Explorer (fully remote). This role has been aligned to the Collaborator persona.
This organization participates in E-Verify.
This position is eligible to participate in a company incentive program.
This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.
The application window is 45 days, but applicants are encouraged to apply as soon as possible after the posting date in order to ensure optimal consideration. The posting will be removed if the job is filled before the application window deadline.
Job Category: Corporate