Overview
On Site
107k - 142k
Full Time
Skills
Retail
Logistics
IT Strategy
Data Analysis
Creative Problem Solving
Data Engineering
Python
Scripting
Transact-SQL
Microsoft SSIS
Version Control
Continuous Integration
Continuous Delivery
Microsoft Power BI
Modeling
Microsoft Azure
DevOps
Databricks
PySpark
SQL
Business Intelligence
Reporting
Architectural Design
Collaboration
Insurance
SAP BASIS
Job Details
A well-established organization based in Tulsa, Oklahoma is looking for a Data Engineer II to join its team full-time, on-site. With a strong presence in retail and logistics, the company is advancing its technology strategy through Azure, Databricks, and DevOps-based development to support data analytics, modeling, and business performance.
The ideal candidate is someone who loves optimizing performance and building scalable data pipelines. You'll join a team that values cross-functional collaboration, continuous learning, and creative problem solving. The company is committed to providing a great work environment and professional growth, all while working on some of the most important data systems in the organization.
Required Skills & Experience
At least 3 years of professional data engineering experience
Hands-on experience with Databricks SQL and PySpark
Advanced Python scripting skills
Strong command of T-SQL
Practical use of Azure Data Factory and SSIS
Desired Skills & Experience
Version control and CI/CD with Azure DevOps
Familiarity with Azure Synapse
Knowledge of Power BI modeling techniques
What You Will Be Doing
Tech Breakdown
35% Azure & DevOps Tools
30% Databricks / PySpark
25% SQL
10% BI & Reporting Tools
Daily Responsibilities
75% Hands On
15% Architectural Design & Improvements
10% Cross-Team Collaboration
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Paid Vacation
Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
The ideal candidate is someone who loves optimizing performance and building scalable data pipelines. You'll join a team that values cross-functional collaboration, continuous learning, and creative problem solving. The company is committed to providing a great work environment and professional growth, all while working on some of the most important data systems in the organization.
Required Skills & Experience
At least 3 years of professional data engineering experience
Hands-on experience with Databricks SQL and PySpark
Advanced Python scripting skills
Strong command of T-SQL
Practical use of Azure Data Factory and SSIS
Desired Skills & Experience
Version control and CI/CD with Azure DevOps
Familiarity with Azure Synapse
Knowledge of Power BI modeling techniques
What You Will Be Doing
Tech Breakdown
35% Azure & DevOps Tools
30% Databricks / PySpark
25% SQL
10% BI & Reporting Tools
Daily Responsibilities
75% Hands On
15% Architectural Design & Improvements
10% Cross-Team Collaboration
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Paid Vacation
Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.