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Azure Big Data Engineer Jobs in Addison, TX (NOW HIRING)

Incedo Inc

Data Engineer with Devops

Dallas, TX · On-site

$113K - $136K/yr

... Engineering or Big Data development. * Hands-on experience with Python, PySpark, Java, Kafka ... Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Knowledge of Spark ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$70K - $80K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure ...

Tata Consultancy Service Limited

Engineer

Dallas, TX · On-site

$70K - $80K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure ...

Dexian DISYS

Big Data Engineer - Sr

Plano, TX · On-site

$53.50 - $71/hr

Data Engineer Location: Plano TX (3 Days/ Hybrid) Duration: 7 Months + Interview: 1 Round Role Summary * Large-scale enterprise migration initiative involving migration of existing data pipelines to ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$120K - $130K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure ...

Apex Informatics

Senior Big Data Engineer

Plano, TX · On-site

$53.25 - $70.50/hr

Looking for true software engineering skill set. Experience working with large data sets, ETL, or applications that do high-volume data collection. Spark or other large scale data processing AWS ...

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Big Data Technologies : * Proficiency in handling large-scale distributed data processing with ... Cloud & DevOps : * Strong understanding of Azure cloud services and architecture. * Familiarity ...

Capital One

Lead Data Engineer

Plano, TX

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure ...

Tata Consultancy Service Limited

Developer

Irving, TX · On-site

$100K - $130K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure ...

Sonsoft Inc

Big Data

Plano, TX

$50.75 - $65.75/hr

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Capital One

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure ...

Capital One

Lead Data Engineer

Plano, TX

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure ...

Capital One

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure ...

Sonsoft Inc

Azure With Big Data/Cloud Services

Plano, TX · On-site

$60.75 - $79.25/hr

Azure Virtual Machines, Blob Storage, Azure SQL Database, StorSimple, Azure DNS, Virtual Network, DocumentDB, Redis Cache, Azure App Service * Experience with Big Data Technology Stack: Hadoop/Spark ...

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All JobsAzure Big Data Engineer JobsAzure Big Data Engineer Jobs in Addison, TX

Azure Big Data Engineer information

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How much do azure big data engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for azure big data engineer in Addison, TX is $60.97, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $68.65 per hour, depending on experience, location, and employer.

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.
What are popular job titles related to Azure Big Data Engineer jobs in Addison, TX? For Azure Big Data Engineer jobs in Addison, TX, the most frequently searched job titles are:
What job categories do people searching Azure Big Data Engineer jobs in Addison, TX look for? The top searched job categories for Azure Big Data Engineer jobs in Addison, TX are:
What cities near Addison, TX are hiring for Azure Big Data Engineer jobs? Cities near Addison, TX with the most Azure Big Data Engineer job openings:
Azure Big Data Engineer jobs near you
Infographic showing various Azure Big Data Engineer job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,816 per year, or $61 per hour.

Data engineer (In person interview is required)

Stanley David and Associates

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 12 days ago

Job description

Job Description:
 
We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in designing, building, and optimizing our next-generation scalable data pipelines. This position requires expertise in processing massive datasets using cutting-edge technologies like Apache Spark, PySpark, and Hive within a dynamic cloud environment. Your primary objective will be to ensure the utmost data reliability, speed, and efficiency, providing a robust foundation for downstream business intelligence and advanced analytics initiatives.
 
Roles & Responsibilities:
• Data Pipeline Development & Maintenance: Design, build, and maintain highly scalable and efficient ETL/ELT data pipelines utilizing PySpark and Spark SQL for complex data transformations.
• Cloud Data Infrastructure Management: Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such as Amazon Web Services (AWS) (e.g., EMR, Glue), Microsoft Azure (e.g., Databricks, Synapse), or Google Cloud Platform (Google Cloud Platform).
• Data Warehousing & Storage Optimization: Strategically manage data layout, partitioning, and indexing within Apache Hive and various cloud data lake solutions to optimize performance and accessibility.
• Performance Tuning & Optimization: Proactively identify and resolve performance bottlenecks in Spark jobs, leveraging Spark UI for in-depth analysis, effectively managing data skewness, and optimizing memory utilization.
• Diverse Data Integration: Develop robust solutions for ingesting high-volume and diverse datasets from both structured relational databases and unstructured flat files into our data ecosystem.
• Automated Workflow Orchestration: Implement and manage automated data workflows using industry-standard scheduling tools like Apache Airflow or platform-native schedulers, ensuring timely and reliable data delivery.
• Strategic Collaboration: Partner closely with data scientists, business analysts, and cross-functional enterprise teams to translate complex business requirements into technically sound and efficient data solutions.
 
Qualifications:
 
• Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark architecture, including a deep understanding of drivers, executors, and Directed Acyclic Graphs (DAGs).
• Advanced Programming: Exceptional coding skills in Python and extensive experience with the PySpark API for developing intricate data transformations and processing logic.
• Querying & Schema Management: Strong command of HiveQL and ANSI SQL, coupled with expertise in data partitioning techniques and effective schema definition.
• Optimized Storage Formats: In-depth understanding and practical experience with optimized big data storage file formats such as Parquet, ORC, and Avro.
• Cloud Ecosystem Development: Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure Databricks) within major cloud platforms.
• Data Warehousing Fundamentals: Solid foundation in Dimensional Data Modeling, including Star and Snowflake schemas, and practical experience with Data Lakes concepts and implementation.
Preferred Qualifications
• CI/CD & DevOps Automation: Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and automation tools like Git, Jenkins, or Ansible.
• NoSQL Database Integration: Exposure to and experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
• Professional Cloud Certifications: Relevant professional cloud certifications (e.g., AWS Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly valued
 
 
 
 
 
 

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