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

Azure Data Engineer

Dallas, TX · On-site

$90 - $130/hr

Preferred Skill and Experience Azure Databricks, Pyspark, SQL, Machine Learning, Data warehousing Additional Required Qualifications * Bachelor's degree or foreign equivalent required from an ...

New

Azure Data / Search Engineer

Irving, TX · On-site

$109K - $132K/yr

Role:Azure Data / Search Engineer (Databricks / ElasticSearch / Python) Experience: - Min8+ Years Location: - Irving, TX (Hybrid 3 days Work from Office) Looking for a strong Azure Data Engineer ...

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance ... Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Azure Data Solutions Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data Solutions Architect Remote Xebia is in need of a leading technical contributor who can ... This lead should demonstrate core engineering knowledge/experience of industry technologies ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools Perform ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain data pipelines.

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Data Architect (Dallas)

Dallas, TX · On-site

$165K - $185K/yr

Requirements: 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks. Proficient in Apache Spark, SQL, and Python. Experience working with Azure Data ...

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ... Guide best practices for Azure Synapse, Spark, Delta Lake, data lake storage, and related cloud ...

SQL Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Experience with Azure DevOps, Git, or comparable version control and deployment tools. * Experience with database administration concepts, including performance monitoring, indexing strategies ...

New

Showing results 21-40

Azure Data Engineer information

See Dallas, TX salary details

$41.1K

$119.7K

$163.8K

How much do azure data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for azure data engineer in Dallas, TX is $119,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $126,900.00 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 the most commonly searched types of Azure Data Engineer jobs in Dallas, TX? The most popular types of Azure Data Engineer jobs in Dallas, TX are:
What job categories do people searching Azure Data Engineer jobs in Dallas, TX look for? The top searched job categories for Azure Data Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Azure Data Engineer jobs? Cities near Dallas, TX with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,727 per year, or $57.6 per hour.

Azure Data Engineer

Infosys Limited

Dallas, TX • On-site

$90 - $130/hr

Other

Medical, Retirement

Posted 2 days ago

New


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

151st of 223 rated it services


Job description

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting‑edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Area Of Responsibility
  • Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
  • Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
  • Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
  • Conduct code reviews, do changes to the codebase and maintain code repositories
  • Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
  • Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
  • Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
  • Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Your contribution to the team
  • A collaborative spirit and excellent communication skills.
  • The ability to handle end-to-end SDLC phases from requirement gathering to implementation.
  • A knack for translating complex requirements into actionable development tasks.
  • A passion for design and hands-on coding experience.
  • A proactive approach to testing, troubleshooting, and refining our applications.
  • The ability to work with cross-functional teams and do software integration.
Preferred Skill and Experience

Azure Databricks, Pyspark, SQL, Machine Learning, Data warehousing

Additional Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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