Sr. Azure Data Engineer

Nesco Resource; Austin (TX); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company seeks a Sr. Data Engineer to design, build, and manage data pipelines in Azure. This role requires expertise in tools such as PySpark and Power BI and involves collaborating with multiple stakeholders to optimize data reporting. The ideal candidate will have strong data governance knowledge and experience in cloud data architecture, ensuring data security and efficient workflows.

Benefits

Comprehensive benefits package including Medical, Vision, Dental

401K

Employee Assistance Program

Qualifications

• 8+ years of experience in data engineering or business intelligence.
• Hands-on experience with Azure Data Factory and PySpark.
• Strong understanding of data governance frameworks.

Responsibilities

• Design and manage data pipelines in Azure for analytics.
• Collaborate with stakeholders on data models and reporting.
• Migrate reports from SSRS to Power BI.

Skills

Data Engineering

Business Intelligence

Cloud Data Architecture

Data Governance

Problem Solving

Collaboration

Tools

Azure Data Factory

PySpark

Power BI

Azure Data Pipelines

SQL Server

ETL/ELT Pipelines

Microsoft Fabric

Job description

Summary: As a Sr. Data Engineer, you will design, build, and manage large-scale data pipelines in Azure to support enterprise analytics and reporting. The ideal candidate will work with tools like PySpark, Azure Data Factory, Microsoft Fabric, and Power BI to transform raw data into structured, usable insights while ensuring data security and governance.

Responsibilities:

• Collaborate with Power BI Report Developers to build and optimize data models that meet evolving business needs.
• Support the migration of existing reports from SSRS to Power BI as part of a broader modernization effort.
• Work with Azure Data Lake and Microsoft Fabric to structure, store, and model data; deliver dashboards that are functional and clean, even if not highly visualized or modern.
• Participate in sunsetting legacy reporting systems and replacing them with Power BI-based solutions by firm deadlines.
• Help design a consolidated data store to aggregate data from disconnected systems and enable cross-client analytics.
• Assist with building a new FP&A Data Store as part of an ERP transition
• Support the establishment of secure data tunnels between two corporate entities for data exchange.
• Collaborate directly with multiple stakeholders including Finance leadership, Azure engineers, BI developers, and offshore teams.

Must-Have Requirements:

• 8+ years of experience in data engineering, business intelligence, or cloud data architecture
• Hands-on experience with Azure Data Factory and Azure Data Pipelines
• Strong proficiency in PySpark for data processing and transformation
• Experience building and automating ETL/ELT pipelines
• Expertise in data orchestration and workflow automation
• Experience creating and managing data lakes, SQL Server databases, and data warehouses in Azure
• Strong understanding of Microsoft Fabric, Power BI, and data modeling (DAX, Power Query)
• Working knowledge of data governance frameworks (lineage, cataloging, RBAC)
• Excellent problem-solving and collaboration skills

Preferred Requirements:

• Experience creating ER diagrams and designing star-schema data marts
• Prior involvement in systems/data consolidation projects or ERP transitions is a strong plus.
• Exposure to enterprise data architecture spanning multiple organizations or secure data tunneling is a bonus.
• Certifications such as DP-600 (Microsoft Fabric Analytics) and DP-700 (Data Analyst Associate) are preferred.
• Experience with turbo processing engines a plus

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Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.

Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.