Overview
On Site
130k - 160k
Full Time
Skills
Cloud Computing
Business Strategy
Innovation
Data Engineering
SQL
Python
Apache Spark
Management
ELT
RBAC
Encryption
HIPAA
Version Control
Data Modeling
Real-time
Streaming
Apache Kafka
IoT
Microsoft Power BI
Tableau
Meta-data Management
Quality Assurance
Manufacturing
Databricks
Data Lake
SQL Azure
Git
Terraform
Continuous Integration
Continuous Delivery
Business Intelligence
Artificial Intelligence
Microsoft Azure
Machine Learning (ML)
Extract
Transform
Load
Cloud Architecture
Performance Tuning
Data Governance
Collaboration
DevOps
Job Details
We're searching for a Data Engineer with deep Azure expertise to help power a growing enterprise's digital transformation. You'll work with modern Azure tools-Data Factory, Synapse, Databricks, Data Lake, and Azure SQL-to build large-scale, cloud-native data pipelines and infrastructure. This is a full-time opportunity to design the architecture that supports everything from business intelligence to advanced AI and RAG-based applications.
This role is about more than just building data pipelines-it's about solving hard problems at scale and working at the intersection of data, AI, and business strategy. You'll be part of a collaborative digital technology team, partnering closely with analysts, data scientists, and DevOps engineers to unlock smarter decisions. If you're excited by the chance to lead Azure-driven data innovation, streamline performance, and help drive machine learning initiatives-this is your kind of challenge.
Contract Duration:
Required Skills & Experience
What You Will Be Doing
Tech Breakdown
This role is about more than just building data pipelines-it's about solving hard problems at scale and working at the intersection of data, AI, and business strategy. You'll be part of a collaborative digital technology team, partnering closely with analysts, data scientists, and DevOps engineers to unlock smarter decisions. If you're excited by the chance to lead Azure-driven data innovation, streamline performance, and help drive machine learning initiatives-this is your kind of challenge.
Contract Duration:
Required Skills & Experience
- 3-5 years of professional data engineering experience
- Proven hands-on work with Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL
- Strong SQL, Python, and/or Spark skills
- Experience building and managing robust ETL/ELT pipelines
- Familiarity with Azure RBAC, encryption, and regulatory frameworks like GDPR or HIPAA
- Experience with CI/CD, version control (Git), and tools like Azure DevOps
- Strong data modeling, transformation, and performance optimization skills
- Experience with real-time streaming (e.g., Event Hubs, Kafka, IoT Hub)
- Exposure to Azure ML, OpenAI, or other AI/ML frameworks
- Background in BI tools like Power BI or Tableau
- Familiarity with data governance, metadata management, and quality assurance
- Bonus points for experience in manufacturing or service industries
What You Will Be Doing
Tech Breakdown
- 60% - Azure Data Factory, Synapse, Databricks, Data Lake, Azure SQL
- 20% - Azure DevOps, Git, Terraform, CI/CD pipelines
- 20% - BI and AI enablement, including integration with RAG and Azure ML
- 60% - Data pipeline development and cloud architecture
- 20% - Performance tuning, data governance, and security
- 20% - Collaboration with data scientists, DevOps, and business stakeholders
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.