Full-Time

Field Data Engineer

Ascend.io

Ascend.io

11-50 employees

Data engineering automation platform

Data & Analytics

$88,500 - $150,000

Junior, Mid

Remote

Required Skills
Redshift
Python
JavaScript
Ruby
BigQuery
Google Cloud Platform
Requirements
  • 1-3 years of Software Engineering experience
  • Some Experience with public cloud infrastructure and data services such as Athena, EMR, Redshift, S3, BigQuery, GCP, etc
  • Hands-on with at least 1 scripting language (such as Python, Ruby, Javascript)
  • Deep desire to learn/improve and be part of a winning team
Responsibilities
  • With the help of a Solution Architect, you will design cutting-edge data solutions specific to customer requirements
  • Implement aspects of the solutions while providing support and guidance to customer developers on the team
  • Help our customer developers become raving fans of Ascend
  • Provide feedback to the product team on new features that will drive adoption and create raving fans
  • Assist/drive POC's with new potential customers
  • Research and implement technologies that are adjacent to and complementary to Ascend
  • Research and implement competitive technologies
  • Generate content that will accelerate customer learnings and promote self-sufficiency
  • Assist other customers as time permits
  • Build additional features / extensions for the Ascend platform

Ascend.io’s mission is to give data teams a unified and automated platform to ingest, transform, and orchestrate their entire data engineering and analytics engineering workloads. The company has created the only unified platform for data pipelines with 10x faster build velocity and automated velocity to enable engineers to dynamically adapt to any environment.

Company Stage

Series B

Total Funding

$69M

Headquarters

Menlo Park, California

Founded

2015

Growth & Insights
Headcount

6 month growth

-22%

1 year growth

-15%

2 year growth

40%

Benefits

Medical/Dental/Vision

Long-term & Short-term disability

Life Insurance

Stock options

401(k)

Flexible PTO

Remote Friendly

INACTIVE