Data Engineer

Inspyr Solutions
Spring, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 177K

Job location

Spring, United States of America

Tech stack

Automation of Tests
Azure
Business Intelligence
Continuous Delivery
Continuous Integration
Data Architecture
Data Validation
Information Engineering
Data Infrastructure
Data Integration
ETL
Data Transformation
Data Systems
Data Visualization
Data Warehousing
DevOps
Dimensional Modeling
Hive
Microsoft SQL Server
Power BI
Standard Sql
DataOps
Azure
System Availability
GIT
Data Layers
Data Lake
Azure
Software Version Control
Data Pipelines
Databricks

Job description

We are looking for a highly motivated Data Engineer with a passion for data modeling, data architecture patterns, and modern engineering practices. In this role, you will be instrumental in designing and building scalable, reliable, and high-performance data solutions that power our analytics and business intelligence platforms.

You will work closely with senior data engineers and cross-functional teams to implement robust data models and pipelines using cutting-edge tools in the Azure ecosystem. This is a unique opportunity to shape the foundation of our data infrastructure and contribute to the evolution of our data products., 1. Design & Implement Data Models: Develop and maintain dimensional data models and semantic layers that support enterprise reporting and analytics. Apply best practices in data warehousing and data architecture.

  1. Build Scalable Data Pipelines: Create modular, reusable, and pattern-driven ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
  2. Transform & Structure Data: Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready formats. Implement data quality checks and schema evolution strategies.
  3. Leverage Azure Technologies: Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines
  4. Enable CI/CD & DevOps: Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
  5. Support Reporting & Visualization: Collaborate with analysts and BI developers to ensure data models are optimized for tools like Power BI.
  6. Troubleshoot & Optimize: Monitor and resolve issues in data pipelines and models. Ensure high availability and performance of data systems.
  7. Stay Ahead of the Curve: Continuously learn and apply the latest in data engineering best practices, tools, and technologies.

Requirements

  • 5-7 years of experience in data engineering or related roles.
  • Proven expertise in data modeling (especially dimensional modeling) and data warehouse design.
  • Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT.
  • Strong SQL and Spark SQL skills.
  • Experience with CI/CD, DevOps, and version control (Git, Azure DevOps).
  • Familiarity with Power BI or similar visualization tools.
  • Solid understanding of data integration, data quality, and data transformation best practices.
  • Strong problem-solving skills and a collaborative mindset.

Benefits & conditions

Our benefits package includes:

  • Comprehensive medical benefits
  • Competitive pay, 401(k)
  • Retirement plan
  • …and much more!

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