Full-Time

Data Engineer

Confirmed live in the last 24 hours

Ensign College

Ensign College

Compensation Overview

$120k - $155k/yr

Mid, Senior

No H1B Sponsorship

Utah, USA

Candidate must reside in Utah.

Category
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Python
Git
SQL
AWS
Databricks
Snowflake
Google Cloud Platform
Requirements
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. A Master’s degree is preferred.
  • Minimum of 3 years of experience in data engineering, with hands-on expertise in Snowflake or similar cloud-based data warehouse platforms.
  • Experience with Databricks in addition to Snowflake a strong plus.
  • Proven experience and comfortability designing and implementing ETL processes and data pipelines, especially extracting from diverse sources using Python, APIs, or other methods.
  • Strong proficiency in SQL, and performance tuning.
  • Strong proficiency in the data modeling process, especially using the Kimball method.
  • Proficiency in Python.
  • Experience and comfortability with cloud-based infrastructure (e.g., AWS, Azure, or Google Cloud Platform) including AWS Lambda, S3, IAM, and events.
  • Strong background in Git and GitHub
  • 2 years of experience using DBT
Responsibilities
  • Design and implement robust, scalable, and high-performance data architectures to support analytics and reporting needs.
  • Manage and optimize data pipelines and ETL processes to integrate, transform, and deliver data from various sources into Snowflake and Databricks.
  • Ensure data accuracy, quality, and integrity through the development of automated data validation and monitoring processes.
  • Develop and maintain comprehensive documentation for data processes, workflows, and system architectures.
  • Monitor and troubleshoot data infrastructure issues, ensuring optimal performance and reliability.
  • Work closely with data analysts, institutional research, and other teams to understand data needs and deliver actionable data solutions.
  • Collaborate with IT and other departments to ensure data infrastructure aligns with organizational objectives and future growth plans.
  • Provide support for ad-hoc data analysis and reporting requests, leveraging data engineering expertise to deliver insights.
  • Stay current with best practices in data security and work to implement measures that safeguard sensitive information.
Desired Qualifications
  • Knowledge of data governance frameworks and the ability to implement security best practices.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A