Data Engineer

On-site opportunity in Provo, Utah with Crumbl, offering a collaborative, growth-oriented culture where data informs every decision. This role sits at the headquarters and provides ample room for career advancement within a hyper-growth environment, all while working with modern tooling and a team that values data quality and security.

Responsibilities

• Design, build, and maintain scalable data pipelines using ELT/ETL methods to securely extract, load, and process data across sources.
• Partner with data scientists, analysts, and stakeholders to translate data needs into reliable, high-quality data assets.
• Create and sustain thorough documentation, including data dictionaries, workflow diagrams, and data flow diagrams.
• Protect data integrity and security by implementing appropriate controls and continuous monitoring.
• Optimize pipelines for performance and efficiency, tuning for faster queries on large datasets.
• Implement data security policies and procedures, covering access controls, encryption, and data masking.
• Design and implement data processing workflows with dbt and Prefect to support data science and machine learning use cases.
• Develop and maintain ingestion processes to bring external data into the organization’s data environment.
• Identify performance bottlenecks and collaborate with infrastructure and operations teams to optimize system performance.
• Test and validate data pipelines to ensure they meet business requirements and operate reliably.
• Participate in code reviews and contribute to data engineering best practices.
• Stay current with emerging data engineering and data science technologies to identify practical opportunities for adoption.

Requirements

• Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field.
• Minimum of 3 years building and maintaining production data pipelines, or equivalent experience with a related degree.
• Advanced SQL skills, including window functions, CTEs, and performance tuning on large datasets.
• Strong Python for data engineering with modular, testable pipeline code.
• Hands-on dbt experience covering models, tests, macros, and incremental materializations.
• Production Snowflake experience focusing on schema design, performance tuning, and warehouse/cost optimization.
• Experience with AWS data services such as S3, Glue, and Lambda.
• Data quality and observability using dbt and Elementary.
• Infrastructure as code using Terraform and version control with Git.
• Dimensional modeling concepts (star/snowflake schemas, SCDs) and lakehouse ideas.
• Strong problem-solving abilities and clear communication with analysts, scientists, and stakeholders.

Technologies

• dbt
• Prefect
• SQL
• Python
• Snowflake
• AWS S3
• AWS Glue
• AWS Lambda
• Terraform
• Git
• Elementary

Benefits

• Medical, dental, and vision coverage
• 15 days of paid time off per year
• 10 paid holidays
• Paid parental leave
• Personal cell phone bill reimbursement
• Gym reimbursement
• Corporate DoorDash DashPass membership
• Regular company and team activities
• 401(k) with competitive matching
• Strong opportunities for career growth
• Work within a hyper-growth company