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Data Engineer at Initiate Government Solutions
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
ATS provider: Paylocity.