Azure Data Engineer

Overview

Remote
$60 - $65
Contract - W2
Contract - Independent
Contract - 3 Year(s)
No Travel Required

Skills

Agile
Analytical Skill
Analytics
Apache Avro
Apache Parquet
Apache Spark
Big Data
Computerized System Validation
Continuous Delivery
Continuous Integration
Data Engineering
ADF
Business Intelligence
Collaboration
Communication
Conflict Resolution
Extract
Transform
Load
Git
Information Security Governance
JSON
Management
Data Storage
Data Validation
Data Warehouse
Databricks
ELT
Mentorship
Data Lake
Data Modeling
Data Processing
Data Quality
Data Security
DevOps
RBAC
Regulatory Compliance
Reporting
SQL
Scalability
Scrum
Snow Flake Schema

Job Details

Azure Data Engineer
Location: Remote

Employment Type: Contract/Full Time
Any Visa will work

Job Summary

We are looking for an experienced Azure Data Engineer with 5 6 years of hands-on experience in designing, building, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate will work closely with data architects, analysts, and business stakeholders to deliver reliable, high-performance data pipelines and analytics platforms.

Roles & Responsibilities

  • Design, develop, and maintain end-to-end data pipelines using Azure services

  • Build and optimize ETL/ELT processes using Azure Data Factory (ADF)

  • Implement data storage solutions using Azure Data Lake Storage Gen2, Azure Blob Storage, and Azure SQL

  • Develop and manage data warehousing solutions using Azure Synapse Analytics

  • Perform data transformations using Azure Databricks (PySpark / Spark SQL)

  • Ensure data quality, data validation, and monitoring of pipelines

  • Optimize performance, cost, and scalability of Azure data solutions

  • Implement CI/CD pipelines for data engineering workflows using Azure DevOps or GitHub

  • Work with structured and semi-structured data (CSV, JSON, Parquet, Avro)

  • Collaborate with BI teams to support reporting tools like Power BI

  • Implement security, governance, and compliance using Azure RBAC, Key Vault, and data encryption

  • Troubleshoot production issues and provide operational support

Required Skills & Qualifications

  • 5 6 years of overall experience in Data Engineering / Data Warehousing

  • Strong experience with Microsoft Azure data services, including:

    • Azure Data Factory

    • Azure Data Lake Storage (ADLS Gen2)

    • Azure Synapse Analytics

    • Azure Databricks

  • Strong proficiency in SQL and Python (PySpark preferred)

  • Experience with data modeling (star/snowflake schema)

  • Hands-on experience with ETL/ELT frameworks

  • Experience with CI/CD, version control (Git), and DevOps practices

  • Good understanding of data security, governance, and compliance

  • Experience working in Agile/Scrum environments

Good to Have

  • Azure certifications such as DP-203 (Azure Data Engineer Associate)

  • Experience with Power BI, DAX

  • Knowledge of Streaming technologies (Azure Event Hubs, Stream Analytics)

  • Exposure to Azure Purview / Microsoft Purview

  • Experience with Big Data concepts and performance tuning

Soft Skills

  • Strong analytical and problem-solving skills

  • Excellent communication and stakeholder management

  • Ability to work independently and mentor junior engineers

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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