1

Azure Data Engineer Jobs in Texas (NOW HIRING)

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Azure Data Engineer Location: Dallas, TX ( 4 days WFO) Day 1 onsite Full Time Candidates should good in Python and SQL Top Mandatory Skills: 4 -7 years of hands-on experience in Data Engineering ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Lead/ Senior Azure Data Engineer Location : Dallas, TX Rate : On C2C Job Summary: The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and ...

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Engineer Job Location: Fort Worth, TX (100% Onsite) Job Duration: Long Term Note: Final Round will be in person. Note: Need 12+ years of experience resumes. Key Responsibilities: * Design ...

Sr. Data Engineer-Azure

Fort Worth, TX · On-site

$52.75 - $65.25/hr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos ...

Azure Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Role: Sr Azure Data Engineer Location: Frisco, TX 3 days onsite in a week Duration: Long term contract Job Summary We are seeking a Senior Data Engineer to design, build, and operate highly scalable ...

Azure Data Engineer in Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

We are Hiring for Azure Data Engineer (Senior) in Dallas, TX Location : Dallas, TX Onsite Only [No Remote Option] Title : Azure Data Engineer (Senior) Need 12 years experience Azure Data Engineer ...

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX Experience;- 10+ Years Responsibilities * Perform ETL, ELT operations and administration using modern ...

Data Engineer - Azure Data Factory

Addison, TX · Hybrid

$110K - $133K/yr

Required Skills & Qualifications * 3-6 years of professional Data Engineering experience. * Strong hands-on expertise with Azure Data Factory (ADF) and building ETL/ELT pipelines . * Experience with ...

Sr. Data Engineer - Azure

Bedford, TX · Remote

$101K - $121K/yr

Sr. Data Engineer - Azure Overview Want to build the kind of data platforms that teams actually trust and use every day? In this Sr. Data Engineer role, you'll design & develop solutions for their ...

Azure Data Engineer

Dallas, TX

$54.50 - $67.50/hr

* Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services * Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault * Ability to design Azure Data Factory (ADF ...

Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Engr Location : Houston Duration : Long term contract Job Overview : Design and Build the integration jobs that move data from existing SoR applications into and throughout the Microsoft ...

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Azure Data Engineer Houston TX - Onsite from day 1 Project Overview: New project- credit card settlement system ( CCSS) to support P66 retail gas stations. CCSS is an app is on prem and we are moving ...

Be Seen First

Sr. Data Engineer - Azure Overview Want to build the kind of data platforms that teams actually trust and use every day? In this Sr. Data Engineer role, you'll design & develop solutions for their ...

next page

Showing results 1-20

Azure Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do azure data engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for azure data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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, and why are they important?

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 engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

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 most commonly searched types of Azure Data Engineer jobs in Texas? The most popular types of Azure Data Engineer jobs in Texas are:
What are popular job titles related to Azure Data Engineer jobs in Texas? For Azure Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Texas look for? The top searched job categories for Azure Data Engineer jobs in Texas are:
What cities in Texas are hiring for Azure Data Engineer jobs? Cities in Texas with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Texas as of June 2026, with employment types broken down into 79% Full Time, 13% Part Time, 4% Temporary, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

$113K - $136K/yr

Full-time

Posted 7 days ago


Job description

Role : Azure Data Engineer
Location : Dallas, TX / Tulsa, OK ( Onsite & In-Person Interview )

Top Mandatory Skills:
4 -7 years of hands-on experience in Data Engineering
Azure Databricks/Azure Data Factory (Primary Skillset)
Azure Data Lake (secondary skillset)
Teradata
Nice to have:
Databricks Certification
Minimum Requirements:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
5+ years of experience in software development (Agile, DevOps), designing, developing, and implementing large-scale applications or data engineering solutions.
5+ years of data analytics experience using SQL and working with data platforms like Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer.
5+ years of cloud development and data lake experience, primarily in Microsoft Azure (EventHub, Data Factory, Databricks, Blob Storage, Power BI, Azure Functions, etc.)