Onelake Engineer Jobs

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1d ago

Data & Analytics Engineer

Electro-Mechanical Corporation Bristol, VA

Bristol, VA

1d ago

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

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Job Description

Electro-Mechanical Corporation offers an onsite Data & Analytics Engineer opportunity in Bristol, VA with a competitive salary range of $85,000–$110,000 per year. This role places you at the forefront of our data strategy, enabling you to design, build, and maintain a scalable enterprise data platform using Microsoft Fabric, Power Platform, and industry-leading visualization tools. Expect a collaborative environment that values mentorship, governance, and strategic impact as you partner with stakeholders to unlock data-driven decisions across the organization.

Responsibilities

Design, develop, and sustain a scalable enterprise data platform leveraging Microsoft Fabric capabilities including OneLake, Data Factory, Data Engineering, Data Warehouse, Real-Time Analytics, and Lakehouse architecture.
Establish and manage data ingestion, transformation, and orchestration pipelines from multiple internal and external sources.
Develop data models supporting enterprise reporting, analytics, AI, and operational decision making.
Build reusable data products and semantic models to promote consistency and scalability across the organization.
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.
Develop enterprise dashboards, scorecards, and analytical solutions with Power BI and Tableau.
Create scalable semantic models and datasets to 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.
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.
Evaluate 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 combinations of education and experience considered.
3–5 years of experience in data engineering, analytics engineering, business intelligence, or related roles.
Proven track record designing, developing, and supporting data pipelines and analytical solutions in production.
Strong SQL skills with experience crafting 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, 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

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