Data Engineer

Role Overview

Design, develop, and maintain data ingestion, transformation, and integration processes supporting modern cloud-based data platforms.

What You Will Do

Develop data pipelines, implement medallion architecture layers, extract, transform, and load data from enterprise source systems, and develop Ed-Fi REST API integrations.

Why It Might Be a Fit

Strong SQL proficiency, experience with cloud data platforms, and ability to document data flows and pipeline configurations.

Requirements

• Experience developing data pipelines, ETL/ELT processes, and data integrations
• Experience with Microsoft Fabric, Azure Data Factory, or comparable cloud data platforms
• Strong SQL proficiency, including querying, transformation, validation, and troubleshooting
• Experience with Python and/or PySpark for data engineering workloads
• Experience working with structured and semi-structured enterprise data
• Understanding of cloud-based data lake, lakehouse, or data warehouse architectures
• Experience with data mapping, data profiling, reconciliation testing, and data quality processes
• Experience integrating systems through REST APIs or similar application interfaces
• Ability to document data flows, pipeline configurations, mappings, and technical processes
• Strong troubleshooting, analytical, and communication skills
• Active Secret clearance

Benefits

• Company-supported certifications
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support
• Fitness and wellness reimbursement
• Weekly pay schedule