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Data & Analytics Engineer

Electro-Mechanical Corporation Bristol, VA

Bristol, VA

Today

$85k - $110k/yr Full time Analytics Azure Data Factory Azure Platform

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Job Description

Data & Analytics Engineer responsible for designing, building, and maintaining a scalable enterprise data platform using Microsoft Fabric, Power Platform, and leading visualization tools (Power BI and Tableau), based in Bristol, VA.

Responsibilities

Build and sustain a scalable enterprise data platform using Microsoft Fabric components, including OneLake, Data Factory, Data Engineering, Data Warehouse, Real-Time Analytics, and Lakehouse architecture.
Create and operate data ingestion, transformation, and orchestration pipelines from diverse internal and external sources.
Design data models to support enterprise reporting, analytics, AI, and operational decision-making.
Develop reusable data products and semantic models to ensure consistency and scalability across the organization.
Architect and deploy ETL and ELT workflows using Microsoft Fabric and related Azure technologies.
Integrate ERP, CRM, operational systems, cloud applications, APIs, and third-party data sources.
Maintain data quality, reliability, and performance through monitoring, validation, and optimization.
Establish data governance, metadata management, lineage, and security controls.
Develop enterprise dashboards, scorecards, and analytics solutions using Power BI and Tableau.
Build scalable semantic models and datasets that enable self-service analytics.
Improve visualization performance and user experience.
Set reporting standards, KPIs, and data definitions across business functions.
Partner with stakeholders to translate requirements into actionable analytics solutions.
Define best practices for data management, access controls, privacy, and compliance.
Define and maintain enterprise data standards and governance frameworks.
Enforce role-based security and data access policies within Microsoft Fabric and reporting platforms.
Support audit, compliance, and regulatory requirements.
Assess emerging technologies and best practices in cloud analytics, data engineering, and AI.
Promote adoption of modern data architecture principles and analytics capabilities.
Mentor team members and advance data literacy across the organization.
Contribute to roadmap planning and strategic data initiatives.

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 the ability to develop 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 integrations, middleware, APIs, and data migration methodologies.
Experience with Microsoft Azure, AWS, or Google Cloud Platform.
Understanding of data quality frameworks, monitoring, and validation processes.
Experience implementing data governance, metadata management, and master data practices.
Knowledge of security, privacy, and compliance considerations related to enterprise data.
Experience supporting Finance, Supply Chain, Manufacturing, or Commercial analytics.
Experience in manufacturing, distribution, industrial, private equity-backed, or multi-site organizations.

Technologies

Microsoft Fabric, OneLake, Data Factory, Data Warehouse
Power BI, Tableau, Power Apps, Power Automate, Dataverse
Git, SQL, Snowflake, Databricks, Azure Synapse
Microsoft Azure, AWS, Google Cloud Platform
Python, Spark, PySpark
Azure DevOps, Power Platform, API development

Preferred Skills

Microsoft Azure Data Services
Python, Spark, or PySpark
Azure DevOps
DataOps and MLOps concepts
Real-time analytics and streaming architectures
AI/ML integration within Microsoft Fabric
Enterprise ERP and CRM integrations

Preferred Certifications

Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft Certified: Power BI Data Analyst Associate
Microsoft Certified: Azure Data Engineer Associate

Compensation

Salary: USD 85,000 - 110,000 per year

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