Senior Data Engineer at Jobber
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Summary
Senior Data Engineer on Jobber's Data Platform team, designing scalable batch and real-time data pipelines while mentoring junior engineers and setting standards for data reliability, governance, and disaster recovery. Core stack is Snowflake and AWS with ETL/ELT frameworks.
Elevate data integration with Jobber as a Senior Data Engineer on the Data Platform team. You'll design scalable solutions, lead projects, and ensure data reliability in a remote environment.
Jobber is seeking a Senior Data Engineer who excels in creating data pipelines and has expertise in Snowflake and AWS. You’ll combine technical leadership with hands-on engineering to mentor a team while addressing complex challenges. Your contributions will directly impact business growth through data integrity and governance.
Key Responsibilities: • Design and build scalable batch and real-time data pipelines • Lead technical initiatives and mentor junior engineers • Establish standards for data reliability and disaster recovery • Develop self-service tools for improved data access • Collaborate across teams to enhance data processes
Requirements: • Proven experience as a Data Engineer, specifically with Snowflake • Core expertise in ETL/ELT frameworks and data governance • Strong AWS services knowledge for data solutions • Familiarity with Observability and CI/CD practices • Effective communication skills and adaptability
Contribute your data engineering skills to empower teams at Jobber, enhancing business value through trustworthy data.
Jobber is seeking a Senior Data Engineer who excels in creating data pipelines and has expertise in Snowflake and AWS. You’ll combine technical leadership with hands-on engineering to mentor a team while addressing complex challenges. Your contributions will directly impact business growth through data integrity and governance.
Key Responsibilities: • Design and build scalable batch and real-time data pipelines • Lead technical initiatives and mentor junior engineers • Establish standards for data reliability and disaster recovery • Develop self-service tools for improved data access • Collaborate across teams to enhance data processes
Requirements: • Proven experience as a Data Engineer, specifically with Snowflake • Core expertise in ETL/ELT frameworks and data governance • Strong AWS services knowledge for data solutions • Familiarity with Observability and CI/CD practices • Effective communication skills and adaptability
Contribute your data engineering skills to empower teams at Jobber, enhancing business value through trustworthy data.