Data Engineer I

Data Automation Engineer – Azure / AI / Data Platforms

Clearance Requirement: ability to obtain Public Trust

Position Overview

We are seeking a highly motivated Data Automation Engineer to design and implement modern, AI‑driven data solutions within a Microsoft Azure-based analytics ecosystem. This role focuses on building scalable pipelines, automating workflows, and integrating advanced analytics and AI capabilities across enterprise data platforms.

The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance.

Key Responsibilities

Data Engineering & Pipeline Development

• Design and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and Python
• Build and maintain ETL/ELT workflows across structured and unstructured data sources
• Support data ingestion, transformation, and integration for enterprise analytics platforms

Automation & AI Integration

• Develop automation solutions to improve efficiency, scalability, and reliability of data workflows
• Research and implement AI/ML and Generative AI tools to enhance data processing and insights
• Eliminate bottlenecks through intelligent automation and workflow optimization

Data Quality, Governance & Performance

• Implement data quality, integrity, and metadata management practices
• Monitor and troubleshoot pipelines to ensure high availability and performance
• Perform performance testing, tuning (query optimization, indexing), and pipeline benchmarking

Collaboration & Delivery

• Partner with engineering, DevOps, and business stakeholders to develop solutions
• Participate in Agile/DevOps processes and continuous delivery cycles
• Document pipeline performance, test results, and system improvements

Qualifications:

Required Qualifications

• Bachelor’s degree in Computer Science or related field
• 2+ years of experience in data engineering, automation, or cloud development
• Strong experience with SQL, Python, PySpark, or related scripting tools
• Experience with Azure services (Data Factory, Synapse, Data Lake)
• Experience building and maintaining ETL/data pipelines
• Familiarity with Azure DevOps, GitHub, or CI/CD pipelines
• Strong troubleshooting and performance optimization skills
• ability to obtain Public Trust clearance

•Preferred Qualifications

• Experience with Generative AI or AI-driven data automation
• Microsoft Azure or data engineering certifications
• Experience with Power BI, SSIS, SSRS, SSAS
• Knowledge of data lineage, governance, and security frameworks
• Experience with Infrastructure-as-Code (ARM, Bicep)
• Exposure to performance tuning and advanced query optimization

Additional Details

• Opportunity to work on mission-critical, enterprise-level data platforms
• Strong focus on automation, scalability, and AI innovation
• Ideal for candidates seeking federal/regulated environment experience

Compensation

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