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Data & Analytics Engineer
Job in
Bristol, Washington County, Virginia, 24202, USA
Listed on 2026-09-03
Listing for:
Electro-Mechanical Corporation
Full Time
position Listed on 2026-09-03
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst
Job Description & How to Apply Below
This role is ideal for a professional who enjoys building modern data ecosystems, enabling data-driven decision-making, and creating scalable analytics capabilities that support enterprise growth and digital transformation. Additionally, this role will partner closely with business stakeholders, IT teams, and data consumers to enable self-service analytics, data governance, and enterprise reporting
PRIMARY RESPONSIBILITIES:
Data Platform & Architecture
Design, develop, and maintain a scalable enterprise data platform leveraging Microsoft Fabric capabilities, including:
One Lake
Data Factory
Data Engineering
Data Warehouse
Real-Time Analytics
Lakehouse architecture
Establish and manage data ingestion, transformation, and orchestration pipelines from multiple internal and external data sources.
Develop and implement data models that support enterprise reporting, analytics, AI, and operational decision-making.
Build reusable data products and semantic models that promote consistency and scalability across the organization.
Data Engineering & Integration
Design and implement ETL/ELT processes using Microsoft Fabric and related Azure technologies.
Integrate ERP, CRM, operational systems, cloud applications, APIs, and third-party data sources.
Ensure data quality, reliability, and performance through monitoring, validation, and optimization.
Implement data governance, metadata management, lineage, and security controls.
Business Intelligence & Analytics
Develop enterprise dashboards, scorecards, and analytical solutions using Power BI and Tableau.
Create scalable semantic models and datasets that support self-service analytics.
Optimize visualization performance and user experience.
Establish reporting standards, KPIs, and data definitions across business functions.
Collaborate with business stakeholders to translate requirements into actionable analytics solutions.
Data Governance & Security
Establish best practices for data management, access controls, privacy, and compliance.
Define and maintain enterprise data standards and governance frameworks.
Implement role-based security and data access policies within Microsoft Fabric and reporting platforms.
Support audit, compliance, and regulatory requirements.
Continuous Improvement & Innovation
Evaluate emerging technologies and best practices in cloud analytics, data engineering, and AI.
Drive adoption of modern data architecture principles and analytics capabilities.
Mentor team members and promote data literacy across the organization.
Contribute to roadmap planning and strategic data initiatives.
Technical Skills
Microsoft Fabric architecture and services
Data warehousing and dimensional modeling
SQL and advanced query optimization
ETL/ELT design and implementation
Power BI development and administration
Power Platform (Power Apps, Power Automate, Dataverse)
Data integration and API development
Data governance and master data management
Git/version control and CI/CD practices
EDUCATION AND EXPERIENCE REQUIREMENTS:
Bachelor s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field. Equivalent combination of education and relevant experience may be considered.
3-5 years of experience in data engineering, analytics engineering, business intelligence, or related roles.
Experience designing, developing, and supporting data pipelines and analytical solutions in a production environment.
Strong SQL skills with experience developing complex queries, views, stored procedures, and data transformations.
Experience building and maintaining ETL/ELT pipelines.
Experience with modern cloud data platforms such as Fabric, Snowflake, Databricks or Azure Synapse.
Knowledge of data warehousing concepts, dimensional modeling, and data architecture best practices.
Experience with enterprise…
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