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Azure Data Engineer

Robotics Technologies · Austin, TX, US

Spotted 14h ago

Job details

Posted
Nov 5, 2026
Last confirmed open
Nov 5, 2026
Job description

About this role

  • Job ID:

J53923

  • Job Title:

Azure Data Engineer

  • Location:

Austin, TX

  • Duration:

12 Months + Extension

  • Domain Exposure:

Utilities/ Energy

  • Client:

To Be Discussed Later

  • Employment Type:

W-2, 1099, C2C

  • Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Description:

Role- Azure Data Engineer

Contract

Must-Have Technical Skills:

  • Strong experience in Microsoft Azure cloud data services.
  • Hands-on experience with Azure Data Factory (ADF).
  • Strong experience with Azure Databricks.
  • Good programming experience in Python and PySpark.
  • Strong SQL skills and query optimization.
  • Experience developing ETL/ELT data pipelines.
  • Experience with Azure Synapse Analytics.
  • Knowledge of Azure Data Lake Storage Gen2 (ADLS).
  • Experience with data warehousing and data modeling concepts.
  • Hands-on experience with data integration and transformation.
  • Experience with Azure DevOps, Git, and CI/CD pipelines.
  • Knowledge of data security, governance, and data quality.

Roles & Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory.
  • Build and optimize data processing solutions using Azure Databricks and PySpark.
  • Develop data transformation workflows using Python and SQL.
  • Implement data ingestion from multiple sources, including databases, APIs, files, and cloud platforms.
  • Build and maintain data lake and data warehouse solutions using ADLS Gen2 and Azure Synapse.
  • Optimize Spark jobs, SQL queries, and data processing performance.
  • Implement data validation, data quality checks, and error-handling mechanisms.
  • Work with Delta Lake for reliable and scalable data storage.
  • Implement CI/CD pipelines and deployment automation using Azure DevOps.
  • Ensure data security, governance, and compliance standards.
  • Collaborate with data architects, analysts, and business stakeholders.
  • Troubleshoot production data pipeline issues and ensure operational stability.

Equal Opportunity

Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.

We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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