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

Nam Info Inc

Databricks Azure Consultant

Houston, TX · On-site

$52.50 - $65.25/hr

Databricks Azure Location: Houston, TX - Hybrid 2-3 days Duration: 6 months JD: Role Summary * We ... The ideal candidate will have strong expertise in data engineering, cloud platforms, Spark, and ...

Pwc

Data Engineer - Senior Associate

Houston, TX · On-site

$77K - $202K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

DPR Construction

Data Engineering Lead- Finance

Houston, TX

$109K - $131K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

ZipStaff Inc.

Azure Databricks Architect

Houston, TX · On-site

$65 - $67/hr

Azure Databricks Architect Location: Houston, TX (On-site) Employment Type: Contract (W2 through ... You will drive data engineering best practices, architect scalable Lakehouse solutions, mentor team ...

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

... AWS, Azure, or GCP Experience with distributed data processing technologies such as Spark or ... DevOps best practices Proven experience designing enterprise-scale data platforms and pipelines ...

mBridge Solutions

Sr. Data Engineer

Houston, TX · On-site

$105K - $127K/yr

... on Azure (Azure Data Factory, Databricks) \n \n \n \-Data extract, load and transformation ... engineering tools and methodologies (e.g. Agile, ADO, Ansible, GIT) \n \n \n

BakerHostetler

Data Solutions Engineer

Houston, TX · On-site

$109K - $131K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ...

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

Guidehouse

Data Engineer

Houston, TX

$53K - $88K/yr

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

USM

JB061810 - Senior Data Engineer - 1707

Houston, TX · On-site

$101K - $137K/yr

Skills Data Engineering, da.. Visa Types Green Card, US Citiz.. Job Title: Senior Data Engineer ... Experience with Azure Data Factory, Data Lake technologies, and ETL/ELT processes. * Familiarity ...

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

Experience with Azure, particularly in relation to data storage, integration, processing, and AI services. • Programming Languages: Proficiency in SQL and DAX; familiarity with Python or R for AI ...

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Showing results 21-40

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

Azure Data Engineer information

See Spring, TX salary details

$40.7K

$118.8K

$162.5K

How much do azure data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for azure data engineer in Spring, TX is $118,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 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 Spring, TX?

The most popular types of Azure Data Engineer jobs in Spring, TX are:

What are popular job titles related to Azure Data Engineer jobs in Spring, TX?

For Azure Data Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Spring, TX look for?

The top searched job categories for Azure Data Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Azure Data Engineer jobs?

Cities near Spring, TX with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,770 per year, or $57.1 per hour.

Databricks Azure Consultant

Nam Info Inc

Houston, TX • On-site

$52.50 - $65.25/hr

Other

Posted 4 days ago

Job description

Role: Databricks Azure

Location: Houston, TX - Hybrid 2-3 days

Duration: 6 months

JD:

Role Summary

  • We are seeking an experienced Databricks Consultant to design, develop, and implement scalable data solutions on the Databricks platform.
  • The ideal candidate will have strong expertise in data engineering, cloud platforms, Spark, and modern data architectures, with the ability to work closely with business and technical stakeholders.

Key Responsibilities

  • Design and develop data pipelines using Databricks, Apache Spark, and PySpark.
  • Build and maintain ETL/ELT processes for large-scale data ingestion and transformation.
  • Implement data lake and lakehouse architectures on Databricks.
  • Integrate data from multiple sources, including databases, APIs, and cloud storage.
  • Optimize Spark jobs and Databricks workloads for performance and cost efficiency.
  • Collaborate with business users, architects, and developers to understand requirements and deliver solutions.
  • Develop data models and support reporting, analytics, and AI/ML initiatives.
  • Implement data quality, governance, security, and monitoring standards.
  • Support production deployments, troubleshooting, and performance tuning.
  • Prepare technical documentation and provide knowledge transfer to project teams.

Required Skills

  • Strong hands-on experience with Databricks.
  • Expertise in Apache Spark, PySpark, and SQL.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Knowledge of Delta Lake, Unity Catalog, and Databricks Workflows.
  • Experience with data warehousing and data lake concepts.
  • Strong understanding of ETL/ELT frameworks and data modeling.
  • Familiarity with CI/CD, Git, and DevOps practices.
  • Excellent problem-solving and communication skills.

Preferred Skills

  • Experience with Azure Data Factory (ADF), Azure Synapse, or AWS Glue.
  • Knowledge of Machine Learning and MLOps on Databricks.
  • Experience with streaming technologies such as Kafka and Structured Streaming.
  • Databricks or Cloud Platform certifications.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • 5+ years of experience in Data Engineering/Big Data.
  • 2+ years of hands-on Databricks implementation experience.

Nice to Have

  • Databricks Certified Data Engineer Associate/Professional.
  • Experience in Utilities, Energy, Banking, Healthcare, or Retail domains.
  • Experience with Agile delivery methodologies.
  • Primary Technologies: Databricks, PySpark, Spark SQL, Delta Lake, Azure/AWS/Google Cloud Platform, ADF, Kafka, Git, CI/CD.

Experience: 7+ Years

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About NAM Info

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Edison, NJ, US

Year founded

2000

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