Data Engineer

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Logo of Initiate Government Solutions, LLC.

Initiate Government Solutions, LLC.

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏛️ Government

Consulting • Healthcare • Government

Initiate Government Solutions, LLC is an IT services provider specializing in offering comprehensive Enterprise IT and Health Services solutions primarily for the federal sector. They focus on data analytics, health informatics, cloud migration, and the modernization of federal information systems using best practices including ISO and CMMI standards. As a certified women-owned small business, Initiate Government Solutions has been serving the industry, as well as federal, state, and local governments since 2007. Their expertise extends to healthcare informatics, data analytics, migration of data solutions, applications and operations, and management consulting. They aim to address the most challenging healthcare IT issues with creative and innovative open-source solutions.

📋 Description

• 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 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 • Perform other duties as assigned • Remotely access customer systems and use approved customer-provided communications systems • Attend onsite client meetings as requested

🎯 Requirements

• 5+ years of experience developing enterprise data engineering solutions • Hands-on experience with Azure Data Factory (ADF), Azure Databricks, Apache Kafka, Python and/or PySpark, SQL and relational database technologies, and Azure cloud services • Experience building and maintaining large-scale ETL/ELT pipelines • Strong understanding of data warehousing, Lakehouse architecture, and distributed data processing • Experience implementing data quality, monitoring, and operational support processes • Experience with source control tools such as Git and Azure DevOps • Strong knowledge of Agile software development methodologies • Ability to obtain and maintain a Public Trust • Ability to work in the United States without sponsorship • Azure Data Engineer Associate Certification or equivalent cloud certification highly desired • Strong analytical, troubleshooting, and problem-solving skills • Excellent verbal and written communication skills • Ability to work independently and collaboratively within cross-functional Agile teams • Experience supporting large-scale cloud modernization and digital transformation initiatives • Active Public Trust preferred

🏖️ Benefits

• Comprehensive medical, dental, and vision care • Matching 401K and profit sharing • Paid time off • Training time for personal development • Flexible spending accounts • Employer-paid life insurance • Employer-paid short and long term disability coverage • Education assistance program with potential merit increases for obtaining a work-related certification • Employee recognition programs • Referral programs • Spot bonuses • Other benefits that help provide financial protection for the employee and their family

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