The Intersect Group
Data Engineer II
Tulsa, Oklahoma, USA · Mid · full-time
Sponsorship not specifiedDetected 117 days ago
PythonSQLDatabricksAzureDevOpsData EngineeringCommunicationProblem Solving
About the role
- Team members enjoy a collaborative environment where innovation, continuous learning, and technical craftsmanship are valued.
Responsibilities
- Develop, enhance, and troubleshoot automated ETL/ELT pipelines using Azure Data Factory, Databricks, SSIS, and related tools.
- Build and maintain data transformation logic using T?SQL, Python, and PySpark within Azure and SQL Server environments.
- Consolidate multiple data sources into unified, trusted datasets to support enterprise reporting, analytics, and master data initiatives.
- Implement data quality monitoring, validation rules, and automated alerting processes.
- Support production environments by diagnosing issues, identifying root causes, and implementing long?term solutions.
- Document processes, create internal support materials, and contribute to knowledge sharing across the team.
- Background in building ETL processes using SSIS, Informatica Cloud, or similar tools.
- Experience creating build and release pipelines for data projects using Azure DevOps, including SQL deployments, SSIS packages, and SSAS models.
- Strong analytical thinking, communication skills, and the ability to collaborate effectively in an Agile environment.
- Call to Action If youre a data engineer who enjoys building scalable cloud?based solutions and contributing to a high?impact data environment, wed love to speak with you.
Nice to have
- Data Engineer Company Overview Our client is a respected leader in the retail and consumer services industry, recognized for its commitment to operational excellence and data?driven decision?making.
- Analyze and profile data from diverse sources to determine integration requirements and data quality considerations.
- Key Requirements 35+ years of experience in data engineering, ETL/ELT development, or cloud data integration.
- Strong proficiency with Azure Data Factory, Databricks, T?SQL, and Python
- experience with PySpark preferred.
- Hands?on experience with SQL Server, Azure Synapse, DB2, and enterprise data warehousing concepts.
- Familiarity with data profiling, data governance principles, and master data management practices.
Skills
- Commitment to continuous learning and staying current with emerging cloud and data engineering technologies.
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This listing is sourced directly from The Intersect Group's careers page and normalized into a canonical job model.