Junior Field Data Engineer
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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.
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Unified Data Engineering and Analytics Engineering with the Data Automation Cloud Founded in 2015, the company is headquartered in Palo Alto, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Ascend.io has a track record of offering H1B sponsorships.
Seniority level
Seniority level
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Employment type
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Full-time
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