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Evening Lead Data Engineer Jobs in Utah (NOW HIRING)

Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of modern data and analytics solutions for client engagements. In this ...

Data Architect

Lehi, UT · On-site

$59.75 - $77/hr

Lead platform decisions across our data stack, built primarily on Databricks * Architect governed ... Partner with engineering leadership and business stakeholders to translate reporting and analytics ...

You will be the lead architect and manager of the Sales Operations Data Center. Your mission is to ... Skills: Advanced Excel VBA programming, data modeling, and professional English communication ...

Showing results 21-40

Evening Lead Data Engineer information

What is the difference between Evening Lead Data Engineer vs Data Engineer?

AspectEvening Lead Data EngineerData Engineer
ResponsibilitiesOversees data pipelines, manages team, ensures data quality during evening shiftsDevelops and maintains data pipelines, implements data models
CredentialsBachelor's in CS or related, experience in data engineering, leadership skillsBachelor's in CS or related, experience in data engineering
Work EnvironmentLeads evening shift, collaborative team setting, often in tech or finance industriesDaytime hours, individual or team-based tasks, in tech or data-driven industries

The main difference is that the Evening Lead Data Engineer manages data operations during evening hours and leads a team, while a Data Engineer focuses on building and maintaining data systems during regular hours. The lead role involves additional responsibilities like team oversight and shift management.

What cities in Utah are hiring for Evening Lead Data Engineer jobs?

Cities in Utah with the most Evening Lead Data Engineer job openings:

Solutions Engineer - Microsoft Data

CompuNet, Inc.

Cottonwood Heights, UT • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


CompuNet Clinical Laboratories rating

6.8

Company rating: 6.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

89th of 120 rated laboratories


Job description

Why join CompuNet?
CompuNet values its people more than any other asset-and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer.
We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more.
As a Microsoft Data Engineer at CompuNet, you will design, build, optimize, and modernize enterprise data platforms using Microsoft Azure Data Services, Microsoft Fabric, Power BI, SQL Server, and related technologies.
Role Expectations
Technical Expertise: Serve as a subject matter expert in Microsoft Data and Analytics technologies including Microsoft Fabric, Azure Data Factory, Synapse, Databricks, SQL and Power BI.
Consulting & Engagement: Deliver customer-focused consulting engagements and guide data modernization initiatives.
Solution Architecture: Architect secure, scalable, governed data platforms.
Communication & Leadership: Partner with business and technical stakeholders.
Core Duties and Responsibilities
  • Design and support modern Microsoft data platforms in Azure and Microsoft Fabric.
  • Build enterprise data warehouses, data lakes, and lakehouse solutions.
  • Develop ETL/ELT pipelines using Azure Data Factory, Fabric Data Factory, Synapse Pipelines, and Databricks.
  • Create scalable data models and analytics solutions.
  • Implement governance, lineage, security, and compliance controls.
  • Optimize performance, scalability, reliability, and cost.
  • Support Power BI, analytics, and AI initiatives.
  • Implement DevOps, Git, and CI/CD practices.

Key Expectations
Serve as a Microsoft Data subject matter expert, lead customer engagements, develop Statements of Work, and maintain relevant certifications.
Minimum Requirements
  • 5+ years designing enterprise data solutions.
  • 3+ years working with Azure Data Services.
  • Expertise in Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, SQL Server, and Power BI.
  • Advanced SQL and data modeling experience.
  • Experience with data warehouses, data lakes, lakehouses, ETL/ELT, governance, Python, Spark, and DataOps.
  • Experience implementing and optimizing a Medallion Architecture.
  • Strong consulting and stakeholder management skills.

Preferred Requirements
  • Bachelor's degree in related field.
  • Preferred Certifications: DP-203, DP-600, PL-300, DP-300, AI-102, AZ-305.
  • Hands-on experience with Snowflake and Databricks at scale.
  • Experience working with data architectures specifically for LLM use-cases.

Compensation and Benefits
We offer a full and comprehensive compensation package, including:
  • Medical, dental, vision, Employee Assistance Program, and Flexible Spending Accounts
  • Life and AD&D insurance, disability coverage, critical illness, and accident insurance
  • Paid Time Off (PTO) and paid holidays
  • Company-matching 401(k) and profit sharing
  • Competitive salary, with eligibility for variable compensation such as commission, bonuses, and profit sharing included

Who we are
CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

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