Wintrio LLC Senior Data Engineer (Azure Data Platform & Cloud Analytics) Remote · Full time Company website

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WINTrio is an 8(a) and HUBZone organization with a successful record of delivering high-quality technical and professional services to federal and commercial customers including USCIS and Walmart. WINTrio manages and improves overall performance through IT Modernization practices. Our team of seasoned Cyber Security, Cloud/DevSecOps, software, and Support Experts helps your organization secure its digital environment with innovative and bleeding-edge technology solutions based on best practices and approved industry standards. We deliver a 360-degree spectrum of Systems Integration services from Inception to Project Delivery. At WINTrio we provide tailored customized services to meet all your business needs.

Position Title: Senior Data Engineer (Azure Data Platform & Cloud Analytics) 

Location: Remote (U.S.) with Occasional Travel 

Client: Federal Government Programs 

Employment Type: Full-Time | Contract 

Work Authorization: U.S. Citizenship required. Candidates must be eligible to obtain and maintain a Public Trust clearance. 

How to Apply 

Email your resume: [email protected] 

Apply online through the WINTrio Careers Portal: 

https://www.wintrio.com/careers/senior-data-engineer-azure-data-platform-cloud-analytics/  

Job Summary 

WINTrio LLC is seeking an experienced Senior Data Engineer to support Federal agencies in designing, developing, and maintaining modern cloud-based data platforms that enable advanced analytics, machine learning, fraud detection, and mission-critical decision making. The successful candidate will architect scalable Azure data solutions, develop high-performance ELT/ETL pipelines, optimize enterprise databases, and collaborate with Data Scientists to support AI and machine learning initiatives. This role requires strong expertise in Azure data services, SQL, Python, cloud-native engineering, and modern data architecture. 

 

Job Responsibilities 

• Design, implement, and maintain scalable cloud-based data architectures supporting enterprise analytics and machine learning. 
• Develop, optimize, and maintain ELT and ETL pipelines for structured, semi-structured, and unstructured datasets. 
• Design and support Azure Synapse Analytics, Azure Machine Learning, and Azure Data Lake Storage (ADLS) environments. 
• Develop reusable, modular Python code for data engineering, automation, and data processing. 
• Build, optimize, and maintain SQL Server and PostgreSQL databases, including advanced SQL and T-SQL operations. 
• Optimize data ingestion, processing, transformation, and storage using modern data engineering best practices. 
• Design and maintain data models, data dictionaries, ER diagrams, metadata, and technical documentation. 
• Implement source control, CI/CD pipelines, version control, logging, monitoring, validation, and error handling across all data assets. 
• Develop and maintain infrastructure using code-first approaches including Python SDK, CLI, REST APIs, and Infrastructure as Code (IaC). 
• Collaborate with Data Scientists to develop scalable machine learning data pipelines and analytics environments. 
• Develop Standard Operating Procedures (SOPs) governing the development, deployment, validation, monitoring, and maintenance of enterprise data pipelines. 
• Evaluate and implement emerging AI technologies, AI coding assistants, and LLM-enabled data engineering capabilities to improve engineering productivity and automation. 

 

Required Qualifications 

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related discipline. 
• Minimum five (5) years of hands-on experience maintaining SQL databases and performing advanced SQL and T-SQL development. 
• Minimum five (5) years of experience designing, implementing, and maintaining ELT/ETL pipelines in cloud-based data analytics environments. 
• Minimum three (3) years of experience with Azure Synapse Analytics and Azure Machine Learning using modern Azure data services. 
• Minimum three (3) years of professional Python development experience with Pandas. Experience with PySpark and Polars is preferred. 
• Experience developing reusable, modular, maintainable Python code. 
• Experience designing cloud-native data architectures using Azure Data Lake Storage (ADLS), Azure Synapse, and Azure Machine Learning. 
• Experience implementing source control, Git workflows, and CI/CD pipelines. 
• Experience developing infrastructure using Python SDK, CLI, REST APIs, and Infrastructure as Code (IaC) tools. 
• Strong analytical, documentation, communication, and problem-solving skills. 

 

Technical Areas 

Data Engineering 

• Data Engineering 
• ELT 
• ETL 
• Data Pipelines 
• Data Architecture 
• Data Integration 
• Data Transformation 

Azure Data Platform 

• Azure Synapse Analytics 
• Azure Machine Learning 
• Azure Data Lake Storage (ADLS) 
• Modern Data Stack 
• Cloud Data Architecture 

Database Engineering 

• SQL Server 
• PostgreSQL 
• SQL 
• T-SQL 
• Data Modeling 
• Query Optimization 
• Performance Tuning 
• Data Dictionaries 
• ER Diagrams 

Automation & Cloud Engineering 

• Python SDK 
• CLI 
• REST APIs 
• Infrastructure as Code (IaC) 
• Source Control 
• CI/CD 
• Version Control 
• Logging & Monitoring 

 

Tools & Platforms 

Platforms 

• Microsoft Azure 
• Azure Synapse Analytics 
• Azure Machine Learning 
• Azure Data Lake Storage (ADLS) 

Programming Languages 

• Python 
• SQL 
• T-SQL 

Frameworks & Libraries 

• Pandas 
• PySpark 
• Polars 

Databases 

• SQL Server 
• PostgreSQL 

Cloud Platforms 

• Microsoft Azure 

DevSecOps & Automation 

• Git 
• Azure DevOps 
• GitHub 
• GitHub Actions 
• GitLab CI/CD 
• CI/CD Pipelines 
• Infrastructure as Code (IaC) 

Monitoring & Reporting 

• Azure Monitor 
• Power BI 
• Grafana 
• Microsoft Excel 

 

Preferred Certifications 

• Microsoft Certified: Azure Data Engineer Associate (DP-203) 
• Microsoft Certified: Azure Administrator Associate 
• Microsoft Certified: Azure Solutions Architect Expert 
• Microsoft Certified: Azure AI Engineer Associate 

 

Preferred Qualifications 

• Experience supporting Federal Government agencies. 
• Experience designing enterprise Azure data platforms and analytics environments. 
• Experience supporting AI, machine learning, and cloud-native analytics solutions. 
• Experience implementing source-controlled, code-first data engineering practices. 
• Familiarity with AI coding assistants and Large Language Model (LLM) integration patterns. 
• Experience working within Agile development environments. 

 

Work Environment 

• Full-time position. 
• Remote within the United States. 
• Standard business hours Monday through Friday. 
• Occasional travel may be required to support customer meetings, workshops, and program activities. 

 

WINTrio Benefits 

• Healthcare (Medical, Dental, and Vision) 
• Flexible Spending Account (FSA) and Health Savings Account (HSA) 
• 401(k) and Retirement Savings Plan 
• Annual Bonus and Profit Sharing Opportunities 
• Paid Time Off (PTO) and Vacation 
• Employee Assistance Program (EAP) 
• Life, Personal, and Voluntary Disability Insurance 

 

Growth Opportunities 

This position provides opportunities to work on enterprise-scale Azure data platforms, Artificial Intelligence, Machine Learning, cloud modernization, advanced analytics, automation, and mission-critical Federal technology programs. WINTrio is an employee-driven company where innovation, technical excellence, and continuous learning drive our success. 

 

Equal Opportunity Employer 

WINTrio LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.