Data Engineer I

US Citizenship Required.

Position Summary

We are seeking an experienced, self-motivated Data Engineer to design, develop, and maintain scalable data pipelines and data platforms supporting enterprise analytics, artificial intelligence (AI), and manufacturing operations.

This individual will work closely with data scientists, data analysts, IT teams, and business stakeholders to build reliable data solutions across cloud and on-premises environments.

The ideal candidate will have hands-on experience with Python, SQL, Azure Synapse or Microsoft Fabric, ETL/ELT development, and Azure DevOps. Strong communication skills and the ability to manage projects independently or within a collaborative team are essential.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines supporting Data Lakes, Lakehouses, Data Warehouses, and AI-driven platforms.

• Build and optimize ETL/ELT pipelines using Azure Data Factory, Azure Synapse, Microsoft Fabric, and related technologies.

• Develop Python scripts and SQL queries for data extraction, transformation, integration, and automation.

• Use Azure DevOps to streamline pipeline deployments, version control, and development processes.

• Design scalable data models to support enterprise reporting, analytics, and AI initiatives.

• Integrate data from manufacturing systems, enterprise applications, and cloud-based platforms.

• Develop batch, streaming, event-driven, and API-based data integration solutions.

• Implement data validation, monitoring, quality controls, and governance practices.

• Optimize SQL queries, data processing, and pipeline performance.

• Support Power BI reporting through data modeling, query optimization, and efficient data refresh processes.

• Collaborate with business stakeholders to understand reporting requirements, KPIs, and analytics needs.

• Troubleshoot data integration issues and improve existing data workflows.

• Evaluate new data technologies and recommend improvements to business processes.

Required Qualifications

Education and Experience

Candidates must meet one of the following:

• Bachelor's degree with at least 3 years of relevant experience.

• High school diploma with at least 6 years of relevant experience.

Technical Requirements

• Hands-on experience writing and developing Python scripts.

• Strong SQL skills, including query development and optimization.

• Experience with Azure Synapse or Microsoft Fabric for ETL/ELT development.

• Experience using Azure DevOps to streamline and deploy data pipelines.

• Experience designing, building, and maintaining scalable data pipelines.

• Knowledge of data warehousing, data lakes, and data integration concepts.

• Experience troubleshooting data processing and pipeline performance issues.

Soft Skills

• Strong verbal and written communication skills.

• Ability to explain technical concepts to nontechnical audiences.

• Comfortable working independently and collaboratively.

• Strong analytical and problem-solving abilities.

• Self-motivated, organized, and capable of managing projects.

• Passion for technology and continuous improvement.

Additional Technical Experience Relevant to the Role

The following technologies and capabilities appear in the responsibilities but are not explicitly identified as mandatory screening requirements:

• Azure Data Factory

• Power BI, including Row-Level Security (RLS)

• Lakehouse architecture

• Data governance and semantic modeling

• API-based integrations

• Streaming and event-driven data processing

• Manufacturing data integration

• AI-enabled data platforms