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

talentmovers inc

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 ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Azure Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines utilizing modern cloud technologies, with a strong focus on Microsoft Azure. This role ...

talentmovers inc

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 ...

Cognowiz

Senior Azure Data Engineer

Addison, TX · On-site

$118K - $156K/yr

Addison, Texas (Need Locals) Sr. Data Engineer Contract to Hire Onsite (Tuesday - Thurs) - Remote on Monday & Friday Skill set: Sr. Data Engineer, MS Fabric, Azure Data Factory, Azure Synapse ...

Sogeti

Senior Azure Data Engineer

Addison, TX · On-site

$102K - $139K/yr

Required Skills 5+ years of hands-on data engineering experience in the Microsoft Azure ecosystem. Strong SQL and data modeling fundamentals. Production experience with Azure Data Factory, Azure ...

Noblesoft Technologies

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data/Ops Architect Location: Dallas TX or San Francisco CA Role/Responsibilities We are ... This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient ...

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/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 ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

... using Azure Databricks for data processing, transformation, and reporting Data Engineering ... Collaborate with data scientists, analysts, and other stakeholders to understand business ...

Programmers.io

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Support the development of data engineering solutions on Azure with foundational skills in SQL and cloud platforms. Ideal for candidates ready to grow into a specialist role. Responsibilities: · ...

Siri InfoSolutions Inc

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Design and build robust data pipelines using Azure Data Factory (ADF) * Build and optimize data ...

ADDSOURCE

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 ...

New

GEI Consultants

Data Engineer

Dallas, TX

$90K - $150K/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 ...

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Showing results 1-20

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

Azure Data Engineer information

See Prosper, TX salary details

$40.8K

$118.8K

$162.6K

How much do azure data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for azure data engineer in Prosper, TX is $118,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $125,900.00 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, 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 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 Prosper, TX? The most popular types of Azure Data Engineer jobs in Prosper, TX are:
What are popular job titles related to Azure Data Engineer jobs in Prosper, TX? For Azure Data Engineer jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Prosper, TX look for? The top searched job categories for Azure Data Engineer jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Azure Data Engineer jobs? Cities near Prosper, TX with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Prosper, TX as of July 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $118,793 per year, or $57.1 per hour.

Azure Data Engineer

talentmovers inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 5 days ago

Job description

Title : 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 maintenance of large-scale, complex data processing systems on the Azure platform. They work with data architects, data scientists, and other stakeholders to ensure data solutions are scalable, reliable, and secure.

Job Description:

Job Responsibilities

·       Design and implement Data Ingestion from multiple sources to Azure Data Storage services.

·       Implement Azure data services and tools to ingest, egress, and transform data from multiple sources.

·       Responsible for creating an ETL pipeline with Azure Ecosystem like Azure Data Bricks, Azure Data Factory.

·       Build simple to complex pipelines, activities, Datasets & data flows

·       Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement transformation logic and stage transformed data.

·       Design data ingestion into data modelling services to create cross domain data models for end user consumption.

·       Implement ETL, related jobs to curate, transform and aggregate data to create source models for end user analytics use cases.

·       Scheduling automation and monitoring instrumentation for data movement jobs.

·       Working experience with Azure monitor and Azure log Analytics.

·       Background work on legacy data warehouses and Big Data will be plus.

·       Should have fair knowledge of the consumption layer (BI) and the business processes.

·       Implement/Support Azure DBaaS infrastructure and services

·       Experience working in Agile/Scrum/Kanban team environments

Candidate Profile / Qualification

·       A Minimum of a Bachelor’s degree in Computer Science or related software engineering discipline, or equivalent

·       9-12 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

·       Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

·       Experience with message ingestion systems like Kafka / Azure Event Hub.

·       Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

·       Experience in PySpark and data factory is must

·       Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

·       Excellent oral and written communication skills.

·       Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level