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

Staffingine LLC

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 ...

IT America Inc

"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.

Paul Hastings

Senior Data Engineer

Dallas, TX · On-site

$194K/yr

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 ...

Inficare Technologies

Lead Data Engineer

Lake Dallas, TX · On-site

$111K - $133K/yr

Lead Data Engineer Location: Dallas, TX (Onsite) Job Type: Contract Duration: 12 Months Experience ... Azure OpenAI, Microsoft Fabric, Databricks, Amazon Bedrock, Anthropic Claude, OpenAI * RAG ...

BravoTech

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 ...

Allworth Financial

Sr. Data Engineer

Dallas, TX

$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 ...

Pwc

Data Engineer - Manager

Dallas, TX · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Wissen Infotech

Data Architect - Locals only

Irving, TX · On-site

This position is for an experienced Azure Data Engineer / Microsoft Fabric Data Engineer with expertise in ADF, Automated Testing, Cloud Computing, Data Engineering, Data Modeling, Data Quality, ELT ...

New

Dlapiper

Data Engineer

Dallas, TX

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

DPR Construction

PCA Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

MPOWERHealth

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data ... Design and optimize complex ETL/ELT data pipelines using Azure Data Factory, other Azure services ...

MPOWERHealth

Data Engineer

Addison, TX · On-site

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data ... Design and optimize complex ETL/ELT data pipelines using Azure Data Factory, other Azure services ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the ...

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Showing results 21-40

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 Aug 20, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,793 per year, or $57.1 per hour.

Data Engineer & Big Data ML Engineer

Argyllinfotech

Plano, TX • On-site

$65/hr

Contractor

Posted 22 days ago

Job description

 
Hiring: Data Engineer / Big Data ML Engineer | Plano, TX (100% Onsite) | Capital One

Location: Plano, TX (100% Onsite)
End Client: Capital One Financial Corporation
Employment Type: Contract (09/08/2026 – 03/31/2027)
Our Rate: $65/hr C2C | $61/hr W2
‍ Experience: 8+ Years

We are looking for an experienced Data Engineer / Big Data ML Engineer to build scalable, high-performance data platforms supporting enterprise analytics and Machine Learning initiatives. If you're passionate about Big Data, distributed computing, cloud technologies, and real-time data engineering, we'd love to hear from you!

Key Responsibilities

✅ Design, build, and maintain scalable batch and real-time data pipelines.
✅ Develop distributed data processing solutions using Apache Spark, Kafka, Hadoop, and Amazon EMR.
✅ Build robust ETL/ELT frameworks for enterprise-scale data processing.
✅ Design cloud-native data solutions on AWS, Azure, or GCP.
✅ Develop data engineering solutions using Java, Python, and SQL.
✅ Implement event-driven architectures and real-time data processing.
✅ Build workflow orchestration solutions using Airflow, AWS Step Functions, Azure Data Factory, or Prefect.
✅ Optimize pipeline performance, scalability, monitoring, and data quality.
✅ Collaborate with Data Scientists, ML Engineers, DevOps, and Product Teams.
✅ Support production environments, troubleshoot pipeline issues, and drive continuous improvements.

Required Skills

✔️ 8+ years of Data Engineering / Big Data experience.
✔️ Strong expertise in Java, Python, and SQL.
✔️ Hands-on experience with Apache Spark, Apache Kafka, Hadoop, and Amazon EMR.
✔️ Strong knowledge of ETL/ELT, Data Pipelines, and Distributed Computing.
✔️ Experience building Real-Time Data Processing and Event-Driven Architectures.
✔️ Experience with AWS, Azure, or Google Cloud Platform (GCP).
✔️ Knowledge of Snowflake, Redshift, BigQuery, Azure Synapse, or similar cloud data warehouses.
✔️ Experience with Agile, Git, CI/CD, and DevOps collaboration.

⭐ Preferred Skills

✅ Machine Learning data pipelines & Feature Engineering.
✅ Airflow, Prefect, AWS Step Functions, or Azure Data Factory.
✅ Data Lake / Lakehouse technologies (Delta Lake, Apache Iceberg, Apache Hudi).
✅ Data Quality Frameworks and Monitoring/Observability tools.
✅ Financial Services or other regulated industry experience.

Interested candidates, please share your updated resume