Data Engineer

Overview

On Site
Full Time

Skills

FOCUS
Business Operations
Cloud Computing
Optimization
Business Intelligence
Data Processing
Data Flow
Scalability
Stored Procedures
Data Extraction
Reporting
Migration
Data Management
PySpark
Programming Languages
Workflow
Computer Science
Information Technology
Mathematics
Data Engineering
SQL Azure
Analytics
Microsoft SQL Server
SQL
Python
Scala
Microsoft
Data Architecture
Extract
Transform
Load
Parallel Computing
Communication
Microsoft Azure
Storage
Conflict Resolution
Problem Solving

Job Details

Position: Data Engineer (Azure Cloud Focus)

We are currently seeking a Data Engineer to join a growing IT team supporting a wide range of business operations across the United States. This role offers the opportunity to design and build modern data pipelines and analytics solutions in a cloud-based environment. The ideal candidate will be responsible for data ingestion, transformation, optimization, and building scalable solutions to support business intelligence initiatives.

Key Responsibilities:

Develop and maintain data processing pipelines using Azure Data Factory and related services.

Perform data transformations using data flows and compute services within Azure.

Monitor, troubleshoot, and optimize ETL processes for efficiency, reliability, and scalability.

Partner with business analysts and stakeholders to translate business requirements into technical solutions.

Write and maintain complex SQL queries, views, and stored procedures for data extraction and reporting.

Assist in migrating data workflows and processes into Microsoft Fabric for enhanced data management.

Utilize Python, PySpark, or other programming languages for data engineering tasks.

Integrate systems and automate workflows using Azure Logic Apps, Azure Storage, and REST APIs.

Qualifications:

Bachelor?s degree in Computer Science, Information Technology, Mathematics, or a related field.

Minimum of 3 years of experience in data engineering, analytics, or a similar technical role.

Proficient in Azure Data Factory, Azure SQL Analytics, and SQL Server.

Hands-on experience with SQL, Python, and/or Scala.

Familiarity with Microsoft Fabric is a strong plus.

Solid understanding of data architecture, ETL best practices, and parallel processing.

Strong communication skills with the ability to work collaboratively across technical and business teams.

Must be 18 years of age or older.

Preferred Skills:

Experience with Azure Logic Apps, Azure Storage solutions, and integration with REST APIs.

Strong problem-solving mindset and ability to troubleshoot complex data issues.

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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