[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. NetworkPedia is a technology and talent solutions company providing IT infrastructure, cybersecurity, managed services, and specialized recruitment. The Senior Data Engineer will lead the architecture, development, deployment, monitoring, and support of scalable enterprise data solutions across cloud and on-premises environments, with a focus on Azure, ETL/ELT, analytics, healthcare provider networks, financial data, geospatial systems, and API integrations.
Responsibilities
- Lead the architecture, development, testing, deployment, and support of scalable and fault-tolerant enterprise data solutions
- Design and maintain dimensional data models supporting data warehouses, data marts, and enterprise analytics
- Build and monitor ETL/ELT pipelines using Microsoft SQL Server SSIS and Azure Data Factory
- Develop data pipelines supporting both scheduled and near-real-time data movement between on-premises and cloud environments
- Design and support data solutions using Azure SQL, SQL Managed Instance, Azure Synapse, and/or Microsoft Fabric
- Develop complex SQL scripts for data transformation, processing, and analytics
- Create and maintain Power BI dashboards and reports for business and analytical use cases
- Develop data engineering solutions incorporating Python
- Design and support financial data analysis solutions
- Develop and support Healthcare Provider Network Adequacy analysis solutions
- Design, manage, and optimize data systems within the ArcGIS environment
- Use ArcGIS tools and Power BI to explore, clean, prepare, and analyze data for mapping and visualization
- Develop API-driven bulk data integrations using Azure API Management
- Ensure data solutions are scalable, reliable, fault-tolerant, and support enterprise decision-making
- Monitor production pipelines and troubleshoot data processing, integration, and performance issues
- Collaborate with business, technical, and data stakeholders throughout the solution lifecycle
Skills
- • Minimum 10+ years of overall experience as a Data Engineer
- • 5+ years of experience as a Senior Data Engineer in a lead capacity
- • 4+ years of experience designing and developing ETL/ELT solutions using SSIS and Azure Data Factory
- • 5+ years of experience with Azure SQL, SQL MI, Azure Synapse, and/or Microsoft Fabric
- • 5+ years of experience developing solutions using SQL scripting
- • 3+ years of experience developing Power BI dashboards and reports
- • 3+ years of experience developing solutions incorporating Python
- • 3+ years of experience developing financial data analysis solutions
- • 3+ years of experience developing Healthcare Provider Network Adequacy analysis solutions
- • 2+ years of experience as an ArcGIS Data Engineer , including designing, managing, and optimizing ArcGIS-based data systems
- • 3+ years of experience developing API-driven bulk data integrations using Azure API Management
- • Strong experience with data warehouse/data mart architecture and dimensional data modeling
- • Bachelor's or advanced degree in Computer Science, Engineering, Information Systems, Mathematics, or another technology-related field
- • Equivalent qualifying experience may be substituted for education on a year-for-year basis
- • A completed data engineering bootcamp plus one additional year of experience may also be considered as an alternative to the degree requirement
- • Microsoft Azure Data Engineer
- • Microsoft Fabric Data Engineer
- • Microsoft Fabric Analytics Engineer
- • Microsoft Power BI Data Analyst
- • Certified Data Management Professional (CDMP) – Data Modeling
- • Data Modeling Institute (DMI) Data Modeling Certification
- • TDWI Certified Business Intelligence Professional (CBIP)
- • Microsoft Power BI Data Modeling certification/training
Benefits
- W2 role
- Remote – Continental USA
- Work on large-scale enterprise data engineering and analytics initiatives.
- Utilize modern Microsoft Azure and Fabric data technologies.
- Contribute to financial, healthcare, and geospatial analytics solutions.
- Opportunity to work across cloud, data engineering, BI, and API integration technologies.
- Remote engagement within the Continental United States.
Company Overview