Junior Field Data Engineer
Jobright.ai
Join to apply for the Junior Field Data Engineer role at Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the Junior Field Data Engineer role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Ascend is a company focused on making data engineering delightful through its Agentic Data Engineering platform. As a Field Data Engineer, you will provide enterprise-level guidance and support to customers, resolving technical issues and enhancing customer success. Responsibilities:
- Drive Customer Success and Technical Excellence: Act as a trusted advisor and subject matter expert for customers, prospects, and internal teams—collaborating with Sales, Engineering, and Product to resolve technical obstacles and improve the platform
- Resolve Complex Technical Issues: Take a hands-on approach to diagnose, troubleshoot, and resolve data pipeline and infrastructure issues, ensuring timely support for global customers across time zones.
- Onboard and Enable Prospects During Trials: Deliver onboarding, technical guidance, and hands-on support throughout the trial period to ensure prospects are set up for success and can independently explore key capabilities.
- Bridge Customer Feedback and Product Innovation: Capture and prioritize customer feedback and feature requests, partnering with Product and Engineering to influence roadmap decisions and ensure the platform evolves to meet real-world needs.
- Manage Escalations with Precision: Partner with engineering to drive resolution of high-priority incidents and deeply technical escalations, ensuring customer impact is minimized and root causes are addressed.
- Empower Customers Through Enablement: Proactively contribute to and maintain up-to-date customer-facing documentation and internal knowledge bases to promote self-service and accelerate time-to-value.
- Two to four years in a support role working directly with customers or as a data engineer
- Experience with technical support implementing proven techniques that both resolve issues and increase customer satisfaction
- Strong written and oral communication, critical thinking, flexibility, self-direction and a team mindset
- Experience building complex data pipelines
- Experience designing and building cloud-based data solutions including Data Lake, Data Warehouse and/or Lakehouse implementations (ex. S3/GCS/ADLS, Snowflake and/or Databricks)
- Deep experience with at least one cloud platform (AWS, GCP, Azure)
- Hands-on development experience with Python
- Bachelor's degree in computer science, software engineering, data engineering, information technology or relevant experience
- Experience in a start-up technology product company
- Hands-on with at least one additional programming language (Java, Scala, etc)
- Experience with software development processes
Vacancy posted 3 days ago
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