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Azure Big Data Engineer Jobs in Texas (NOW HIRING)

Wise Skulls Corp.

Full Time Role: Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

We are looking for an experienced Big Data Engineer with 7-10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in an on-premises Big Data ...

K-Tek Resourcing LLC

Java/Scala Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Senior Java/Scala Big Data Engineer Location: Sunnyvale, CA or Austin, TX Candidate Type: Hands-on technical coder Core requirements * Strong hands-on Java and/or Scala development * Apache Spark ...

Xforia, Inc.

Sr. Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

... big data technologies on Azure Cloud Platform. • Design and implement scalable and efficient data ... engineers and data scientists. • Provide technical guidance and support to ensure the team ...

Qode

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Experience with cloud platforms (AWS / Azure / GCP) * Knowledge of Big Data technologies (Spark ...

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

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

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

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

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 ...

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All JobsAzure Big Data Engineer JobsAzure Big Data Engineer Jobs in Texas

Azure Big Data Engineer information

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 Texas? For Azure Big Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Azure Big Data Engineer jobs in Texas look for? The top searched job categories for Azure Big Data Engineer jobs in Texas are:
What cities in Texas are hiring for Azure Big Data Engineer jobs? Cities in Texas 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 Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full Time Role: Big Data Engineer

Wise Skulls Corp.

Dallas, TX • On-site

$55.50 - $73.25/hr

Other

Posted 5 days ago

Job description

Summary: It is a Full Time Role.

We are looking for an experienced Big Data Engineer with 7–10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in an on-premises Big Data environment. Beyond strong individual contribution, the ideal candidate will own architecture and design decisions, set technical direction, and mentor and support other developers on the team. The role works closely with cross-functional teams to deliver reliable, high-quality data solutions that support business and analytics needs.

Technical Skills

Must Have

  • 7–10 years of overall experience in data engineering, with a proven track record in technical leadership (design ownership, mentoring, guiding development teams).
  • Python – strong hands-on development experience building production-grade data solutions.
  • Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) – deep, hands-on experience in on-premises environments.
  • Apache Spark – solid experience developing and tuning large-scale distributed data processing jobs.
  • Job scheduling / orchestration – hands-on experience with CA7 or Control-M (or comparable enterprise schedulers).
  • Strong understanding of data structures, ETL processes, and SQL.
  • Extensive experience with large-scale data processing and distributed systems.
  • Demonstrated ability to make sound architecture/design decisions and to mentor and support other developers.
  • Exposure to AI/ML concepts or tools, with a strong willingness to learn and grow in this space.
  • Banking/Financial domain highly preferred

Roles & Responsibilities

  • Lead the design, development, and maintenance of robust, scalable data pipelines for ingestion, transformation, and processing of large datasets in an on-premises environment.
  • Own architectural and design decisions for data solutions, evaluating trade-offs and defining technical standards for the team.
  • Mentor, guide, and support other data engineers through code reviews, design reviews, technical coaching, and hands-on problem-solving.
  • Build and optimize data workflows using Python, Spark, and the Hadoop ecosystem.
  • Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large-scale data.
  • Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 or Control-M.
  • Ensure data quality, integrity, and performance across data platforms.
  • Collaborate with data analysts, data scientists, and business stakeholders to translate data requirements into sound technical designs.
  • Troubleshoot and resolve complex issues in data pipelines and production environments, acting as an escalation point for the team.
  • Champion best practices for coding standards, version control, testing, and documentation.
  • Stay current with emerging technologies, particularly AI/ML capabilities, and identify opportunities to apply them to data engineering workflows.
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