Job Summary

We are seeking a highly motivated and experienced Data Engineer design and implement enterprise-scale data analytics solutions on Microsoft Azure and Microsoft Fabric. This role will play a key part in building and maintaining our data platform, ensuring data quality and accessibility for data-driven decision making across the organization. 

This position will report to the Somerset NJ (HQ) or Austin TX office.

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $14 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 6,000 of them. If you join our team, you’ll enjoy:

• Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
• Continuous professional growth and leadership opportunities.
• Health, wellness, and financial benefits to offer peace of mind to you and your family.
• World-class facilities and the technology you need to thrive – in our offices or yours. 

Responsibilities

Include but not limited to:

• Collaborate with stakeholders, including data engineers, data scientists, and AI engineers, to design and deploy enterprise-scale data analytics solutions on Azure and MS Fabric. 
• Design and develop scalable data pipelines and API integrations for efficient data ingestion and processing. 
• Transform raw data into reusable analytics assets using Microsoft Fabric components, including data lakes, warehouses, notebooks, dataflows, data pipelines, semantic models, and reports. 
• Implement best practices for analytics within the Fabric platform, including version control and deployment. 
• Partner with solution architects to ensure seamless integration of analytics solutions into broader architectural designs. 
• Develop and maintain data quality frameworks and processes to ensure data accuracy and availability. 
• Perform data analysis to troubleshoot data-related issues and assist in resolution. 
• Define data models, design data integrations, and evaluate open source and vendor tools for data lineage. 
• Work closely with business units and engineering teams to develop a long-term data platform architecture strategy. 
• Write unit/integration tests, contribute to engineering documentation, and document work effectively. 
• Analyze and organize raw data, build data systems and pipelines, and prepare data for advanced analytics. 
• Collaborate with data scientists and architects on various projects to interpret trends, conduct complex data analysis, and build prototypes. 

Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical field or equivalent experience. 
• 4 years of experience in data architecture, data engineering, or a similar role. 
• Proven experience designing, building, and maintaining data solutions on cloud platforms like Azure. 

Required Skills

• In-depth knowledge of Microsoft Azure services and tools, especially related to data analytics (Data Lakes, Data Warehouses, Data Factory, etc.). 
• Strong proficiency in Microsoft Fabric components, including data lakes, warehouses, notebooks, and data pipelines. 
• Solid understanding of data modeling principles and ETL (Extract, Transform, Load) processes. 
• Experience with schema design, dimensional data modeling, and managing data warehouse plans. 
• Expertise in data governance, security, and compliance best practices. 
• Strong programming skills in Python and SQL. 
• Excellent communication, collaboration, and problem-solving skills. 
• Experience with API Management (preferred). 

Additional Information

• The estimated annual pay range for this position is $100,000 - $170,000. The compensation for this position is dependent on job-related knowledge, skills, and experience, therefore, will vary from individual to individual. Benefits may include but are not limited to, medical, vision, dental, 401K, and flexible spending. 
• Equal Employment Opportunity – M/F/Disability/Protected Veteran Status

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