Full-Time

Field Data Engineer

Posted on 12/2/2025

Ascend.io

Ascend.io

11-50 employees

Automates data ingestion, transformation, orchestration

Compensation Overview

$110k - $150k/yr

+ Equity

Palo Alto, CA, USA

In Person

Category
Data & Analytics (1)
Requirements
  • 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
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.
Desired Qualifications
  • 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

Ascend.io provides a unified automation platform for data engineering and analytics. It handles data ingestion, transformation, delivery, and orchestration. It helps data teams work faster by reducing code and downtime through an all-in-one, automated pipeline solution. Its business model is subscription-based with tiered plans and a global partner program, and its goal is to help teams manage growing data volumes reliably with less manual coding.

Company Size

11-50

Company Stage

Series B

Total Funding

$69M

Headquarters

Menlo Park, California

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • Wizeline partnership accelerates AI-powered data architectures and digital transformation value.
  • Jeremy Poon's APAC sales leadership drives 300% adoption growth amid cloud cost pressures.
  • Databricks integration offers free developer tier and Unity Catalog auto-cataloging.

What critics are saying

  • Databricks Unity Catalog natively automates pipelines, diverting customers in 6-12 months.
  • dbt Labs Cloud expansions commoditize Ascend's dbt integration for 80% users in 3-6 months.
  • Microsoft Fabric unifies Azure orchestration, locking enterprises from multi-cloud in 6-12 months.

What makes Ascend.io unique

  • Ascend.io unifies AI-powered ingestion, transformation, orchestration, and observability in Agentic Data Engineering.
  • Ascend for dbt automates dbt Core model orchestration with single-command production scaling.
  • DataAware intelligence auto-detects code and data changes across multiple dbt projects.

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Benefits

Medical/Dental/Vision

Long-term & Short-term disability

Life Insurance

Stock options

401(k)

Flexible PTO

Remote Friendly

Growth & Insights and Company News

Headcount

6 month growth

-4%

1 year growth

0%

2 year growth

-8%
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