At a Glance
- Tasks: Design and build scalable data pipelines while leading projects and mentoring a team.
- Company: Join Jobber, a forward-thinking company focused on data integration and growth.
- Benefits: Remote work, competitive salary, and opportunities for professional development.
- Other info: Dynamic remote environment with excellent career advancement opportunities.
- Why this job: Make a real impact on business growth through data integrity and governance.
- Qualifications: Experience with Snowflake, ETL/ELT frameworks, and AWS services required.
The predicted salary is between 108000 - 132000 $ per year.
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. #J-18808-Ljbffr
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