Data Engineer

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. 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. 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. Ensure the integrity and security of data by implementing appropriate controls and monitoring. 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. Design and implement data processing workflows using dbt and Prefect to support data science and machine learning applications. 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. Conduct testing and validation of data pipelines to ensure they are functioning correctly and meeting business requirements. Participate in code reviews and contribute to the development of best practices for data engineering. Stay current with emerging technologies and trends in data engineering and data science, and identify opportunities to leverage them within the organization. Qualifications 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). Advanced SQL: window functions, CTEs, and query/performance tuning on large datasets. Hands‑on dbt experience: models, tests, macros, and incremental materializations. Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization. AWS data services (e.g., S3, Glue, Lambda). Data quality and observability with dbt + Elementary. Infrastructure‑as‑code with Terraform and version control with Git. Dimensional data modeling (star/snowflake schemas, SCDs) and lakehouse concepts. Strong problem‑solving skills and clear communication with analysts, scientists, and stakeholders. Benefits Medical, dental, and vision benefits 15 days PTO/year 10 paid holidays Paid parental leave Personal phone bill reimbursement Gym reimbursement Regular company and team activities 401k with competitive matching contribution plan Excellent opportunities for career growth Work in a hyper‑growth company Crumbl HQ and franchisees provide employment for over 26,000 people across the United States, and all of our franchises are owned and operated by independent members of the local community. Crumbl is an equal opportunity employer. Crumbl provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status. Recruitment Agencies: 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. #J-18808-Ljbffr