Senior Data Engineer: Azure Databricks & AI-Ready Pipelines

IDR, Inc.; Denver (CO); On-site; USD 105,000 - 115,000; Full time

Benefits offered by this job

Competitive pay

Full benefits

Employee stock ownership

Award-winning company

Job summary

IDR, Inc. in Denver, CO is seeking a Data Engineer to help build modern data pipelines and architectures for analytics and ML. You will translate business needs into scalable data solutions and support governance and integration in Azure Databricks.

The role requires 5+ years in data engineering, 4+ years with Azure Databricks, and strong Python/SQL skills. Join a team driving AI-ready data preparation and collaboration with stakeholders for impactful analytics.

Qualifications

• 5+ years of experience in data engineering and/or data warehousing.
• 4+ years of hands-on experience with Azure Databricks.
• Experience supporting AI-ready data solutions, including data preparation and transformation for analytics, machine learning, and generative AI.
• Proficiency in Python for data-related tasks and system integration.
• Mastery of TSQL and ANSI SQL, with experience using version control platforms like Git.

Responsibilities

• Assist in developing modern data pipelines and architectures to support analytics and machine learning initiatives.
• Collaborate with stakeholders to translate business requirements into technical data solutions.
• Support data governance, transformation, and integration efforts in a cloud environment, primarily using Azure Databricks.
• Develop and monitor metrics for data quality and system performance.
• Contribute to evolving enterprise data strategies and best practices.

Skills

Data engineering

Data warehousing

Azure Databricks

Python

SQL

Git

Tools

Git

Azure Databricks

Job description

IDR, Inc. in Denver, CO is seeking a Data Engineer to help build modern data pipelines and architectures for analytics and ML. You will translate business needs into scalable data solutions and support governance and integration in Azure Databricks.

The role requires 5+ years in data engineering, 4+ years with Azure Databricks, and strong Python/SQL skills. Join a team driving AI-ready data preparation and collaboration with stakeholders for impactful analytics.