Crumbl
Data Engineer
Provo, UT
Sponsorship not specifiedDetected 43 days ago
PythonCode ReviewGitSQLSnowflakeAWSTerraformMachine LearningdbtData EngineeringData ScienceBrand StrategyCommunicationProblem Solving
About the role
- Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team.
- It is now the fastest-growing cookie company in the nation with over 1000 locations in the USA and Canada.
- Crumbl is powered by cutting-edge technology, iconic branding, delicious desserts, and passionate people.
Responsibilities
- Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality
- Develop and maintain documentation, including data dictionaries, workflow diagrams, and data flow diagrams
- Optimize and tune data pipelines to ensure efficient processing and query performance
- Implement and maintain data security policies and procedures, including access controls, encryption, and data masking
- Develop and maintain data ingestion processes to bring data from external sources into the organization's data environment
- Identify and address performance issues with data pipelines, and work with infrastructure and operations teams to optimize system performance
- The successful candidate will be responsible for building and maintaining data pipelines using dbt and Prefect to support data-driven decision-making across the organization.
- Crumbl HQ doesn't typically partner with 3rd party recruitment resources.
- If we require assistance on this search we will contact selected partners directly; we do not accept unsolicited candidate submissions.
Requirements
- Bachelor's or Master's degree in Data Science, Information Systems, or a related field
- 3+ years building and maintaining production data pipelines (degree in a related field or equivalent experience)
Benefits
- Design and implement data processing workflows using dbt and Prefect to support data science and machine learning applications
This listing is sourced directly from Crumbl's careers page and normalized into a canonical job model.