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Azure Data Engineer Jobs in Lubbock, TX (NOW HIRING)

Munich Re

Sr. Solution Architect

Lubbock, TX · On-site

... Engineering, Information Systems, Mathematics, or Business (or equivalent). * Strong experience with cloud platforms and services , including: * Azure (e.g.; Azure AI Studio, Azure Data Services and ...

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Lubbock, TX

Azure Data Engineer information

See Lubbock, TX salary details

$38.2K

$111.4K

$152.4K

How much do azure data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for azure data engineer in Lubbock, TX is $111,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $118,100.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are popular job titles related to Azure Data Engineer jobs in Lubbock, TX?

For Azure Data Engineer jobs in Lubbock, TX, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Lubbock, TX look for?

The top searched job categories for Azure Data Engineer jobs in Lubbock, TX are:

What cities near Lubbock, TX are hiring for Azure Data Engineer jobs?

Cities near Lubbock, TX with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Lubbock, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,393 per year, or $53.6 per hour.

Financial Data Analyst: Data, Cloud & Client Success

Tyler Technologies, Inc.

Lubbock, TX • On-site

Other

Posted 2 days ago

New

Tyler Technologies rating

9.3

Company rating: 9.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

14th of 247 rated software companies

Job description

Overview and scope: A collection of Tyler Technologies roles across product, engineering, operations, and client experience. This document contains multiple position descriptions including responsibilities, typical activities, and related notes. The content mixes several roles and locations, some entries are repeated or overlapping.

Note: Non-job-content such as application-process details and scam warnings have been removed in the refined version to focus on job-related information.

Responsibilities (illustrative)
  • Own end-to-end design and delivery for complex projects with emphasis on usability and accessibility where applicable.
  • Coordinate client engagements, implement solutions, facilitate training and go-live activities, and ensure customer success metrics.
  • Provide software development, testing, and documentation for moderately to highly complex application programs in line with standards.
  • Support data collection, property data accuracy, data conversion, testing, and stakeholder communications as part of solution lifecycles.
  • Lead or participate in cross-functional teams to deliver initiatives, manage risks, and communicate progress to stakeholders.
  • Provide level-appropriate technical support to clients, troubleshoot issues, and coordinate testing with teams.
  • Develop, configure, and optimize cloud-based solutions, automation, CI/CD, and IaC practices as part of platform improvements.
Qualifications (generic)
  • Experience relevant to the role (design, software development, DevOps, project management, or customer success) as described in the position.
  • Ability to work with cross-functional teams and communicate effectively with clients and internal stakeholders.
  • Understanding of cloud platforms (AWS/Azure), data management, and modern software development practices is desirable depending on the role.
Notes

This document consolidates multiple Tyler Technologies roles. For specific position details, responsibilities, qualifications, location(s), and application instructions, refer to the official job postings for each role.

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