Overview
On Site
107k - 142k
Full Time
Skills
Retail
Decision-making
Operational Efficiency
Use Cases
Data Engineering
SQL
Communication
Data Warehouse
Python
PySpark
Databricks
Transact-SQL
Microsoft SSIS
Microsoft Azure
DevOps
Microsoft Power BI
Modeling
Collaboration
Insurance
SAP BASIS
Job Details
An exciting opportunity is available in Tulsa, OK for a full-time Data Engineer II to join a highly successful and fast-growing privately held company with over 800 locations across the U.S. This organization, a leader in the convenience retail and fuel industry, is investing heavily in modern data technologies, including Azure, Databricks, and Python, to streamline decision-making and drive operational efficiency across the business.
Here's your chance to work for a company that's consistently ranked as one of the top privately held businesses in the country. You'll be part of a collaborative data team working with modern tech like Databricks and Azure, helping to expand data pipelines and optimize existing solutions. This role is ideal for someone who's motivated by challenging work, loves to innovate, and wants to see their impact across a billion-dollar business. The team supports critical business functions, and you'll get exposure to a wide array of use cases-making this a career move that offers both technical growth and high visibility.
Required Skills & Experience
3+ years of professional experience in Data Engineering
Strong experience with Python and PySpark
Proficiency with Databricks and Databricks SQL
Solid experience with Azure Data Factory and T-SQL
Experience with SSIS and Azure DevOps Pipelines
Desired Skills & Experience
Exposure to Azure Synapse and/or Power BI modeling
Strong communication and team collaboration skills
Familiarity with enterprise data warehousing concepts
What You Will Be Doing
Tech Breakdown
50% Python, PySpark, and Databricks
30% Azure Data Factory, T-SQL, and SSIS
20% Azure DevOps and Power BI Modeling
Daily Responsibilities
70% Hands-On Development
10% Team Collaboration
20% Enhancing Performance and Data Delivery
The Offer
Bonus Eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Here's your chance to work for a company that's consistently ranked as one of the top privately held businesses in the country. You'll be part of a collaborative data team working with modern tech like Databricks and Azure, helping to expand data pipelines and optimize existing solutions. This role is ideal for someone who's motivated by challenging work, loves to innovate, and wants to see their impact across a billion-dollar business. The team supports critical business functions, and you'll get exposure to a wide array of use cases-making this a career move that offers both technical growth and high visibility.
Required Skills & Experience
3+ years of professional experience in Data Engineering
Strong experience with Python and PySpark
Proficiency with Databricks and Databricks SQL
Solid experience with Azure Data Factory and T-SQL
Experience with SSIS and Azure DevOps Pipelines
Desired Skills & Experience
Exposure to Azure Synapse and/or Power BI modeling
Strong communication and team collaboration skills
Familiarity with enterprise data warehousing concepts
What You Will Be Doing
Tech Breakdown
50% Python, PySpark, and Databricks
30% Azure Data Factory, T-SQL, and SSIS
20% Azure DevOps and Power BI Modeling
Daily Responsibilities
70% Hands-On Development
10% Team Collaboration
20% Enhancing Performance and Data Delivery
The Offer
Bonus Eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
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.