Senior Data Engineer

Role Overview

Location: Remote (Continental United States Only)

Employment Type: Contract (18 Months)

Reference ID: 5666

Interview Mode: Virtual Interview

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.

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, or a 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, and Microsoft Fabric.

ETL / ELT & Data Pipeline Development

• 4 years of experience architecting and supporting scalable ETL/ELT pipelines using Microsoft SQL Server SSIS and 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: (e.g., Azure Data Engineer, Fabric Analytics/Data Engineer, Power BI Data Analyst).
• Minimum One Current Data Modeling Certification: (e.g., CDMP, DMI, TDWI, or 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:

1. Updated Resume
2. PDF Copy of Degree/Diploma
3. PDF Copies of Certifications
4. Three Client References from projects completed within the last 5 years

How to Apply

Apply directly via LinkedIn Easy Apply or send your updated resume, certifications, and degree copies to [email protected].