Data Engineer

Founded in 2007, Initiate Government Solutions (IGS) is a Woman-Owned Small Business and a fully remote IT services provider supporting federal partners nationwide. We deliver innovative Enterprise IT and Health Services solutions with a strong focus on data analytics, health informatics, cloud migration, AI, and the modernization of federal information systems.

Our vision is to be a health IT trendsetter, continuing to solve the nation’s most challenging healthcare IT issues by conceiving, designing, and building solid, creative, and innovative open-source solutions.

Our mission is to innovate, design, and deliver tailored solutions that balance technical advancement with cost-awareness while providing exceptional service.

IGS is currently recruiting a remote Data Engineer to support our work with a federal customer.

Assignment of Work and Travel:

This is a remote access assignment. The Candidate will work remotely daily and will remotely access customer systems and therein use approved customer provided communications systems. Travel is not required; however, the candidate may be required to attend onsite client meetings as requested.

The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines, ingestion frameworks, and cloud-native data solutions that support advanced analytics, reporting, AI/ML initiatives, and operational decision-making. The ideal candidate will possess hands-on experience with Azure Data Factory (ADF), Azure Databricks, and Apache Kafka, along with expertise in modern data engineering methodologies, DevSecOps practices, and cloud-based data platforms.

Responsibilities and Duties (Included but not limited to):

• Design, develop, and maintain enterprise-scale data ingestion and transformation pipelines using Azure Data Factory, Databricks, and Apache Kafka.
• Build and optimize ELT/ETL processes for data sources.
• Develop scalable data solutions supporting analytics, reporting, AI/ML, and operational business use cases.
• Implement data ingestion frameworks for batch, streaming, and real-time data processing workloads.
• Design and maintain data models, semantic layers, conformed dimensions, and consumption-ready datasets.
• Support the modernization and migration of enterprise data assets into cloud-based Lakehouse architectures.
• Develop and optimize data solutions leveraging Azure cloud services and distributed data processing frameworks.
• Integrate data assets across enterprise systems while maintaining data lineage and governance standards.
• Implement automated data quality validation, reconciliation, and monitoring processes.
• Establish data freshness, accuracy, and completeness controls aligned with platform governance requirements.
• Develop Infrastructure as Code (IaC) and automated deployment pipelines for data engineering solutions.
• Implement CI/CD processes for data pipelines and platform services.
• Other duties as assigned