Senior Data Engineer - 100% Remote

ConsultNet Technology Services and Solutions; Springville (UT); On-site; USD 130,000 - 190,000; Full time

Job summary

ConsultNet Technology Services and Solutions seeks a Senior Data Engineer to design, build, and operate an Azure- and Fabric-based enterprise data platform. You will lead hands-on development, establish scalable data pipelines, and mature Bronze/Silver/Gold data layers to support analytics and AI initiatives.

You will partner with stakeholders across Finance, Operations, Quality, and Sales to translate requirements into reliable data products, drive data quality, and enable governed self-service

Qualifications

• 7+ years of data engineering experience building/maturing enterprise data platforms.
• Strong SQL, Python, ETL/ELT design, data modeling, and integration pattern expertise.
• Experience with Microsoft Azure data services and enterprise BI reporting.

Responsibilities

• Design, build, and operate scalable data pipelines on Azure and Fabric.
• Mature Bronze/Silver/Gold data layers with reusable engineering practices.
• Improve platform reliability, observability, and performance.
• Lead data integration across ERP/CRM/HRIS and other systems.

Skills

SQL

Python

ETL/ELT design

Data modeling

Enterprise integration

Azure Data Factory

Azure Data Lake

Synapse Analytics

Microsoft Fabric

CI/CD

DataOps

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or related field

Tools

Azure DevOps

Job description

The organization is building a modern Microsoft Azure and Fabric-based enterprise data platform to become the digital backbone for operational, financial, quality, commercial, and executive decision-making. The Senior Data Engineer will be the hands-on technical leader responsible for designing, building, and operating this foundation.

This role is more than traditional ETL development. The successful candidate will establish scalable data pipelines, mature the organization's Bronze/Silver/Gold data architecture, integrate critical business systems, implement data quality controls, and enable analytics, automation, and AI initiatives across the organization's global operations.

Why this role matters: You will help create the organization's internal data engineering capability, reduce reliance on manually maintained Excel-based reporting, and provide trusted data foundations for executive reporting, operational KPIs, and future AI use cases.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and data integration patterns using Microsoft Azure and Microsoft Fabric.
• Develop ingestion, transformation, orchestration, monitoring, and deployment standards for enterprise data workloads.
• Build and mature the Bronze, Silver, and Gold data layers with reusable, well-documented engineering practices.
• Drive platform reliability, observability, performance optimization, and operational support practices.

Business System Integration

• Integrate data from ERP, HRIS, CAD/PLM, CRM, collaboration platforms, manufacturing systems, and future enterprise platforms.
• Develop API-based and connector-based integrations where appropriate.
• Partner with application owners and business stakeholders to understand source system logic, data definitions, and integration requirements.
• Monitor pipeline health and proactively resolve data integration issues.

Data Modeling & Analytics Enablement

• Design curated datasets and analytical models for Power BI and enterprise reporting.
• Support dimensional modeling and business logic for certified data assets.
• Partner with Finance, Operations, Quality, Engineering, Sales, and leadership teams to translate business needs into reliable data products.
• Enable governed self-service analytics by delivering trusted, consistent, and reusable data assets.

Data Quality, Governance & Compliance

• Implement data quality checks, reconciliation controls, lineage, metadata, documentation, and issue resolution practices.
• Support master data and data governance initiatives in partnership with business data owners and stewards.
• Design data solutions that support a regulated environment, including quality, privacy, security, and compliance considerations.
• Promote DataOps practices including source control, testing, CI/CD, and release discipline.

AI & Automation Enablement

• Create reliable data foundations for AI, Copilot, automation, and advanced analytics initiatives.
• Identify opportunities to automate manual reporting and operational data processes.
• Support future predictive analytics and machine learning use cases through well-structured, governed data assets.

Technical Leadership

• Serve as a senior hands-on technical leader for the enterprise data platform.
• Partner with external consulting partners while building long-term internal capability.
• Mentor future data engineering team members and help establish standards for the data engineering discipline.
• Influence architecture, tooling, and roadmap decisions with a practical business-outcome mindset.

Qualifications

• 7+ years of data engineering experience, including experience building or significantly maturing enterprise data platforms.
• Strong hands-on experience with SQL, Python, ETL/ELT design, data modeling, and enterprise integration patterns.
• Experience with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake, Synapse Analytics and/or Microsoft Fabric.
• Experience supporting global, multi-site organizations and working directly with business stakeholders.
• Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences.
• Demonstrated ability to operate independently, make sound technical decisions, and connect platform work to business outcomes.

Experience

• Required: data pipeline development, orchestration, monitoring, performance tuning, and data quality implementation.
• Required: Git-based source control and CI/CD or DataOps practices using Azure DevOps or similar tooling.
• Preferred: ERP integration experience (e.g., Infor CSI/Syteline or similar).
• Preferred: manufacturing, medical device, life sciences, or regulated industry experience.
• Preferred: Power BI semantic models, dimensional modeling, Kimball methodology, Microsoft Purview, MDM, or data cataloging experience.
• Preferred: experience enabling AI, machine learning, or Copilot use cases through trusted enterprise data.

Education

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field preferred.
• Equivalent practical experience will be considered in lieu of a degree.
• Microsoft Fabric Analytics Engineer Associate preferred.
• Relevant Azure, Power BI, data governance, or cloud architecture certifications are a plus.

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.