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# Senior Data Engineer

- **Company:** VDart, Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $105,400.0 - $115,900.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Power BI, Microsoft SharePoint, Microsoft Power Automate, Azure Data Factory, Snowflake, Scikit Learn, Information Technology, Collibra, Azure Synapse Analytics, Data Pipelines, Devsecops, Atlassian Bamboo, Databricks
- **Published:** August 7, 2026
- **Apply:** https://www.careerjet.com/jobad/us122ae305b0c91c45beb40282c6ce609a

## About the Role

* Snowflake certifications (SnowPro Core/Advanced), Azure Data Engineer Associate (DP-203)
 * Python ML libraries (scikit-learn), dbt for transformations, Azure DevSecOps

Education

 * Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field

## Description

Looking for a versatile Senior Data Engineer to develop end-to-end data solutions for automotive and fleet management platforms. You'll deliver Azure pipelines, Snowflake data warehousing, Python automation, Power BI analytics, and Power Automate workflows for our client, * Design and implement hybrid data pipelines across Azure Data Factory, Synapse, Databricks, Snowflake, and ADLS

 * Build Python automation scripts for data quality validation, API orchestration, and custom ETL processes
 * Develop Snowflake data models (star schemas, materialized views, streams/tasks) with Snowpark Python UDFs for complex transformations.
 * Create enterprise Power BI semantic models, DAX measures, and paginated reports with Fabric integration and row-level security.
 * Implement Power Automate flows for workflow automation across Service Bus, Teams, SharePoint, and vendor APIs.
 * Deploy Python-based data quality frameworks and monitoring solutions integrated with Snowflake streams and Azure Purview.


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