Data Engineer

Hybrid Full TimeCalifornia, United StatesCornerstone OnDemand

Role Overview

We are seeking a talented Data Engineer with strong communication skills, passion for solving business problems with data, and domain knowledge in Finance, Human Resources, and Customer Success. The right candidate has empathy, curiosity, and a desire to improve and constantly learn.

What You Will Do

Design, build, and maintain batch or real-time data pipelines in production, develop ETL processes, automate data workflows, prepare raw data in Data Warehouses, and build, maintain, and deploy data products for analytics and data science teams.

Why It Might Be a Fit

The ideal candidate has 3+ years of SQL skills, experience with relational databases and database design, and experience working with cloud Data Warehouse solutions, data ingestion tools, and machine learning models.

Requirements

  • 3+ years of SQL skills and experience with relational databases and database design
  • Experience working with cloud Data Warehouse solutions – Databricks, Apache Spark
  • Experience working with data ingestion tools such as Fivetran, stitch, or Matillion
  • Working knowledge of Cloud-based solutions (e.g. AWS, Azure, GCP)
  • Experience building and deploying machine learning models in production
  • Strong proficiency in object-oriented languages: Python, Java, C++, Scala
  • Strong proficiency in scripting languages like Bash
  • Strong proficiency in data pipeline and workflow management tools (e.g., Airflow)
  • Strong project management and organizational skills
  • Excellent problem-solving, communication, and organizational skills
  • Proven ability to work independently and with a team

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To apply for this job please visit cornerstone.csod.com.


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