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Data Engineer + Power Automate

CloudiousDallas, TX🇺🇸United StatesPosted 14 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Senior Data Engineer - Power BI, Power Automate, Snowflake & Python Specialist

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

Key Responsibilities

  • 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.

Required Qualifications

Category

Details

Experience

6+ years data engineering; 2+ years Snowflake; 3+ years Power BI/Automate; Python automation delivery, C# or Python is needed must have

Core Technical Skills

Snowflake (Snowpark, Streams, Tasks), Python (pandas, Airflow, dbt), Azure Data Factory/Synapse, Power BI Premium, Power Automate, & Databricks

Data Platforms

ADLS Gen2, Service Bus Topics/Queues, PostgreSQL; real-time streaming (Kafka/Event Hubs equivalent)

Visualization & Automation

DAX, Power Query, Fabric, Power Automate RPA/API connectors, paginated reports

Preferred Skills

  • 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

Skills

ETL
Scikit-learn
Snowflake
Airflow
Azure
C#
Databricks
Kafka
Pandas
PostgreSQL
Power BI
Python
dbt

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