Senior Data Engineer

Job Title - Senior Data Engineer Location - Remote (Continental United States Only) Employment Type - Contract (18 Months) Reference ID: 5666 Interview Mode: Virtual Interview About the Role We are seeking an experienced Senior Data Engineer to design, develop, and support enterprise-scale cloud and hybrid data solutions that enable advanced analytics, enterprise reporting, financial data analysis, and healthcare network adequacy initiatives. This role requires a highly skilled data engineering professional with strong expertise in Azure Data Engineering, ETL/ELT pipeline development, Microsoft Fabric, Azure Synapse, Power BI, SQL, Python, API integrations, dimensional data modeling, and enterprise data architecture. The ideal candidate will have extensive experience building scalable, fault-tolerant, analytics-ready data ecosystems that support enterprise decision-making and near real-time data processing across both cloud and on-prem environments. Key Responsibilities Enterprise Data Engineering & Architecture • Design, architect, develop, deploy, and support scalable enterprise data platforms and analytics solutions • Develop enterprise data warehouse and data mart architectures using dimensional and analytical data modeling approaches • Build scalable, fault-tolerant data ecosystems supporting enterprise reporting and decision-making initiatives ETL / ELT Pipeline Engineering • Architect, design, develop, test, deploy, monitor, and maintain enterprise ETL/ELT pipelines using: – Microsoft SQL Server SSIS – Azure Data Factory – Azure SQL – Azure Synapse – Microsoft Fabric • Support both scheduled and near real-time data integration workflows between on-prem and cloud platforms • Ensure data quality, reliability, scalability, and operational resilience across enterprise data pipelines Cloud Data Platform Development • Design and support modern Azure-based data solutions leveraging: – Azure SQL – SQL Managed Instance (SQL MI) – Azure Synapse Analytics – Microsoft Fabric • Support enterprise cloud modernization and analytics transformation initiatives • Develop highly available and secure cloud-native data architectures Analytics, Reporting & Visualization • Develop enterprise analytics dashboards, KPIs, and reports using Microsoft Power BI • Build analytics-ready datasets and support executive reporting initiatives • Support advanced business intelligence and enterprise analytics programs API & Integration Engineering • Develop and support API-driven bulk data integrations using Azure API Manager • Build scalable enterprise integration solutions connecting cloud and on-prem systems • Support secure and high-volume data exchange frameworks Financial & Healthcare Analytics Solutions • Design and support financial data analysis platforms and enterprise reporting solutions • Support Healthcare Provider Network Adequacy analysis and analytics initiatives • Build scalable analytical models supporting compliance, operational reporting, and decision intelligence Automation & Development • Develop data engineering solutions using SQL scripting and Python components • Support automated monitoring, orchestration, testing, and deployment processes • Collaborate with technical and business teams within Agile delivery environments Mandatory Skills & Qualifications Education & Experience • Bachelor’s, Master’s, or PhD in: – Computer Science – Engineering – Information Systems – Mathematics – Technology-related discipline OR equivalent qualifying experience • Minimum 5+ years of experience as a Senior Data Engineer in a lead role supporting enterprise data architecture and analytics initiatives Azure Data Engineering & Cloud Expertise • 5+ years of experience designing and supporting solutions within: – Azure SQL – SQL MI – Azure Synapse Analytics – Microsoft Fabric ETL / ELT & Data Pipeline Development • 4+ years of experience architecting and supporting scalable ETL/ELT pipelines using: – Microsoft SQL Server SSIS – Azure Data Factory SQL, Reporting & Analytics • 5+ years of experience with SQL scripting and enterprise database development • 3+ years of experience developing analytics dashboards and reports using Microsoft Power BI Python & API Integration • 3+ years of experience developing solutions using Python • 3+ years of experience supporting API-driven bulk data integrations using Azure API Manager Financial & Healthcare Analytics • 3+ years of experience developing financial data analysis solutions • 3+ years of experience supporting Healthcare Provider Network Adequacy analytics solutions Required Certifications Candidates must possess: Minimum Two Current Microsoft Certifications Examples include: • Microsoft Azure Data Engineer • Microsoft Fabric Analytics Engineer • Microsoft Fabric Data Engineer • Microsoft Power BI Data Analyst Minimum One Current Data Modeling Certification Examples include: • CDMP Data Modeling Specialist (DMBOK) • DMI Data Modeling Certification (DMC) • TDWI Certified Business Intelligence Professional (CBIP) • Microsoft Data Modeling in Power BI Preferred Skills • Experience supporting enterprise healthcare analytics environments • Strong dimensional data modeling expertise • Experience supporting large-scale enterprise cloud modernization initiatives • Experience with fault-tolerant, high-availability enterprise data architectures • Familiarity with Agile, DevOps, and CI/CD-based data engineering practices Submission Requirements Candidates must provide the following at submission stage: • Updated Resume • PDF Copy of Degree/Diploma • PDF Copies of Certifications • Three Client References from projects completed within the last 5 years What We’re Looking For ✔ Senior-level Azure Data Engineering expertise ✔ Strong ETL/ELT and enterprise pipeline architecture experience ✔ Hands-on Microsoft Fabric, Synapse, and Power BI experience ✔ Strong financial and healthcare analytics background ✔ Experience building scalable, enterprise-grade cloud data solutions Why Join Us • Opportunity to work on enterprise-scale cloud data modernization initiatives • Collaborate with highly technical data engineering and analytics teams • Build scalable analytics and integration solutions supporting critical business operations • Work with cutting-edge Microsoft Azure and Microsoft Fabric technologies About NetworkPedia NetworkPedia is a certified women-owned technology and talent solutions company delivering IT infrastructure, cloud, cybersecurity, ERP, AI/ML, and staffing solutions across North America and beyond. We specialize in helping organizations build scalable, secure, and modern technology ecosystems while connecting top-tier professionals with transformative career opportunities. NetworkPedia is committed to diversity, equity, and inclusion (DEI) and encourages applications from all qualified professionals regardless of gender, race, ethnicity, religion, disability, or background. How to Apply Apply directly via LinkedIn Easy Apply or send your updated resume, certifications, and degree copies to recruitment@networkpedia.com