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US - TX - Home Office

US - Remote

Full time

JR3645

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 $16 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 7,000 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.

Job Summary

The SHI Services Solutions Engineer, Data Engineering is a key contributor within our Microsoft Data and AI practice. This role is responsible for designing, building, and delivering enterprise scale data engineering solutions using the Microsoft Azure and Microsoft Fabric ecosystems. The Solutions Engineer works closely with Solution Engineers, Principal Engineers, Project Managers, and client stakeholders to implement secure, scalable, and compliant data platforms and pipelines that support analytics, reporting, and AI driven use cases.

This role is hands on and delivery focused. Associate Solutions Engineers are expected to execute technical designs, own discrete data engineering workstreams, and contribute directly to successful client outcomes. Initial focus areas include state level public sector and regulated industry projects such as large scale data lakehouse implementations.

This role reflects SHI's commitment to delivering enterprise-grade data platforms that power analytics, insights, and AI at scale. Candidates who are motivated by hands-on engineering, Microsoft cloud innovation, and delivering high-impact solutions in regulated and complex environments will find this role both challenging and rewarding.

This position is primarily remote, with a home office setup provided in accordance with company policy.

Role Description

+ Design, develop, and implement data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and related Azure data services

+ Build and optimize data lakehouse and warehouse solutions in Azure and Microsoft Fabric, ensuring scalability, reliability, security, and cost effectiveness

+ Develop and maintain data models, ETL and ELT processes, and historical data versioning logic to support complex multi source datasets

+ Configure and manage Azure Data Lake Storage Gen2 environments, including data organization, lifecycle management, and archival strategies

+ Implement data validation, cleansing, reconciliation, and quality controls to ensure trusted and auditable data platforms

+ Collaborate with BI and analytics teams to prepare data for downstream reporting, analytics, and AI consumption

+ Apply security best practices including encryption, identity based access control, and compliance with standards such as HIPAA, PII handling, and NIST 800 53

+ Support data governance practices including lineage, access patterns, and operational readiness

+ Implement monitoring and operational reporting for pipelines and data platforms to support production support models

+ Work with structured, semi structured, and unstructured data sources across cloud and on premises environments

+ Participate in technical workshops, discovery sessions, and requirements gathering with clients and internal teams

+ Translate business requirements into actionable technical solutions focused on client outcomes

+ Produce high quality technical documentation including design artifacts, migration plans, and operational runbooks

+ Contribute to reusable frameworks, templates, and engineering best practices within the Data and AI practice

+ Participate in code reviews, testing, and quality assurance processes

+ Follow modern engineering practices including source control, CI CD, and environment promotion strategies

+ Support post implementation activities including troubleshooting, optimization, and client enablement

+ Demonstrate ownership and accountability for assigned deliverables and proactively address delivery risks

Behaviors and Competencies

+ Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium.

+ Negotiation: Can proactively seek out negotiation opportunities, initiate discussions, and contribute to conflict resolution.

+ Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.

+ Detail-Oriented: Can manage complex tasks or projects, identifying errors or inconsistencies, and ensuring all details are addressed, necessary corrections are made, and quality is maintained.

+ Organization: Can effectively coordinate multiple projects, delegate tasks where appropriate, and employ advanced organizational tools and methods.

+ Follow-Up: Can proactively identify tasks that require follow-up, initiate necessary actions, and contribute to efficient workflow management.

+ Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.

+ Relationship Building: Can proactively seek out opportunities to expand networks, initiate collaborations, and contribute to team cohesion.

+ Documentation: Can develop comprehensive documentation standards, implement best practices, and ensure documentation supports operational efficiency.

+ Results Orientation: Can set challenging goals for their team and lead them to achieve these goals, demonstrating a consistent track record of results.

Skill Level Requirements

+ Proven hands-on experience delivering modern data engineering solutions on Microsoft Azure and or Microsoft Fabric, including data ingestion, transformation, storage, and analytics enablement

+ Strong engineering foundation across data pipelines, Lakehouse or warehouse architectures, and relational data platforms, with practical experience using services such as Azure Data Factory, Azure Synapse, Databricks, SQL Server, Azure SQL, ADLS Gen2, and Microsoft Fabric

+ Experience designing and operating production data platforms, including data modeling, incremental processing, historical retention, monitoring, and operational support

+ Solid understanding of data security, governance, and compliance concepts, including identity-based access, encryption, and working with sensitive or regulated data

+ Experience working in consulting or project-based delivery environments, collaborating with engineers, project managers, a...

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Solutions Engineer - Data Engineering

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