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Data Engineer

TechniPros, LLC
San Antonio, TX, United States
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence Microsoft Azure Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Power BI Standard Sql Azure Data Lake Data Ingestion Azure Data Factory
+5 more
Apache Spark HybridCloud Microsoft Fabric Azure Synapse Analytics Data Pipelines

Job description

We are hiring an Azure Data Engineer with strong expertise in Microsoft Fabric, Azure Data Factory, Synapse Analytics, and enterprise cloud data engineering. The ideal candidate will build scalable analytics platforms and AI-ready data pipelines., * Build enterprise data pipelines using Azure Data Factory.

  • Develop Lakehouse solutions using Microsoft Fabric.
  • Design data warehouses using Synapse Analytics.
  • Develop Spark notebooks.
  • Build real-time ingestion pipelines.
  • Implement data governance using Microsoft Purview.
  • Optimize Power BI semantic models.
  • Develop scalable ETL pipelines.
  • Collaborate with AI and analytics teams.

Requirements

  • Microsoft Fabric
  • Azure Data Factory
  • Azure Synapse
  • Azure Data Lake
  • Spark
  • Python
  • SQL
  • Power BI
  • Microsoft Purview
  • Azure DevOps
  • ETL

Mandatory Skills:

  • Microsoft Fabric
  • Azure Data Factory
  • Synapse Analytics
  • Azure Data Lake
  • Spark
  • SQL
  • Python
  • Power BI
  • ETL

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

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PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • about 1 month ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • 12 months ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

REST, GraphQL, gRPC, and more: A comparison of modern API styles thumbnail
30:16
World Congress 2026 Europe • about 1 month ago

REST, GraphQL, gRPC, and more: A comparison of modern API styles

Florian Bader

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