Junior Field Data Engineer

Jobright.ai; Palo Alto (CA); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

An AI-powered career platform is seeking a Junior Field Data Engineer to provide enterprise-level guidance and support. The ideal candidate will have a background in data engineering and customer support, with experience in cloud solutions and Python programming. This role focuses on resolving technical issues, onboarding prospects, and enhancing customer success. Competitive salary offered in Palo Alto, California.

Qualifications

• 2-4 years in a support role or as a data engineer.
• Proficient in building complex data pipelines.
• Experience with cloud-based solutions like Data Lake or Data Warehouse.

Responsibilities

• Act as a trusted advisor for customers and internal teams.
• Diagnose and resolve technical issues effectively.
• Deliver onboarding and technical guidance during trials.
• Capture customer feedback for product innovation.
• Manage escalations with engineering teams.

Skills

Customer support experience

Data pipeline building

Cloud platform experience (AWS, GCP, Azure)

Python programming

Strong communication skills

Education

Bachelor's degree in computer science or related field

Tools

Technical support tools

Job description

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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

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Medical insurance

Vision insurance

401(k)

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