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

Alliance Credit Union

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

The Data Engineer II plays an advanced individual contributor role in supporting these efforts by designing, building, and maintaining scalable data systems and developing software and tools that ...

Code Beacons Inc

DevOps Engineer

Lubbock, TX · On-site

$45.50 - $62.50/hr

... s Engineer Location: Onshore - : Lenexa, KS; Lubbock, TX; Colorado Springs, CO; Purchase, NY ... Strong Azure experience (preferred over AWS/Google Cloud Platform). .Net 8, Node JS, Delphi code ...

Texas Tech University

Enterprise Architect

Lubbock, TX · On-site

$59.25 - $76.50/hr

Experience with cloud platforms (AWS/Azure/GCP), hybrid architectures, and DevOps principles ... Data architecture -analytics platforms, data lakes, governance frameworks * Application ...

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 Aug 11, 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 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.

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 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.

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 management and analytics.
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 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $111,393 per year, or $53.6 per hour.

Data Engineer

Alliance Credit Union

Lubbock, TX • On-site

$78K - $90K/yr

Full-time

Re-posted 25 days ago

Job description

ALLIANCE is building a Data and Development Department to leverage Big Data and predictive analytics to strengthen our world-class analytics capabilities and deliver exceptional financial services to our members. The Data Engineer II plays an advanced individual contributor role in supporting these efforts by designing, building, and maintaining scalable data systems and developing software and tools that enable analytics, data science, and business intelligence across the organization.

This role contributes to the exploration, processing, and delivery of large and complex datasets, supporting both batch and real-time data use cases. Leveraging modern data platforms, engineering practices, and software development techniques, the Data Engineer II works closely with data scientists, analysts, software engineers, and DevOps to ensure data and analytical tooling are reliable, accessible, and well-structured for advanced analytics and machine learning initiatives.

In addition to hands-on technical contributions, the Data Engineer II provides guidance and mentorship to Software Developers, Software Engineer I’s, and Data Engineer I’s by sharing best practices in data engineering and software development, supporting design discussions, and helping elevate engineering standards. This role supports the organization’s ability to identify trends, uncover insights, and drive innovation through data while continuously improving data platforms, tools, and processes.

Role

You will be responsible for designing, developing, and maintaining scalable data infrastructure and software tools that support the collection, storage, processing, and analysis of data. You will work closely with data scientists, analysts, software engineers, and other stakeholders to ensure data and analytical tooling are accessible, reliable, and ready for use across a wide range of applications, including analytics platforms, APIs, and CRM systems.

In this role, you will also provide guidance and support to Software Developers, Software Engineer I’s, and Data Engineer I’s by sharing best practices, reviewing designs, and contributing to the continuous improvement of data engineering and software development standards.