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

CEDENT

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/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 ...

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 ...

GEI Consultants

Data Engineer

Dallas, TX · On-site

$113K - $136K/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 ...

Exatech Inc

Azure Data Solutions Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data Solutions Architect Remote Xebia is in need of a leading technical contributor who can ... This lead should demonstrate core engineering knowledge/experience of industry technologies ...

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 ...

Infosys

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging ...

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.

The Intersect Group

Sr. Data Engineer

Addison, TX · On-site

$110K - $133K/yr

The ideal candidate will have hands-on experience with Microsoft SQL Server, Azure data ... Work closely with senior engineers to support enterprise data initiatives and continuously develop ...

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 ...

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 ...

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Showing results 21-40

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

Azure Data Engineer information

See Plano, TX salary details

$42.6K

$124.2K

$169.9K

How much do azure data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for azure data engineer in Plano, TX is $124,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $131,600.00 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 Plano, TX?

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

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

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

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

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

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

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

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Plano, TX as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 79% In-person, 6% Hybrid, and 15% Remote job distribution, with an average salary of $124,150 per year, or $59.7 per hour.

Azure Data / Search Engineer

VeeRteq Solutions Inc.

Irving, TX • On-site

$109K - $132K/yr

Contractor

Re-posted 7 days ago

Job description

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 / Senior Software Engineer with strong expertise in Python, Databricks, SQL, Elasticsearch, Kafka, and Azure, responsible for building scalable search platforms, REST APIs, event-driven data pipelines, and cloud-native distributed systems supporting high-volume enterprise applications.

Roles and Responsibilities: -

·       Resource will be responsible to design, build, and support client, our enterprise search and intelligent matching platform.

·       This role will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services supporting millions of transactions daily.

·       The consultant will work across Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.

·       The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing.

·       Design and develop scalable backend services using Python. Build and maintain REST APIs supporting enterprise applications. Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.

·       Develop intelligent search and matching capabilities for large-scale datasets. Build event-driven architectures using Kafka and Azure Event Hub. Design high-throughput data ingestion and indexing pipelines. Integrate applications with Databricks and enterprise data platforms.

·       Develop secure cloud-native applications on Microsoft Azure. Implement CI/CD pipelines and automated deployment processes.

·       Monitor application health, logging, observability, and production performance. Optimize API response time, indexing performance, and infrastructure utilization. Participate in architecture, design reviews, code reviews, and production support.

·       Collaborate with product managers, architects, data scientists, and engineering teams.

Educational Qualifications: -

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

 

Skills: -

Mandatory skills

·       Programming Python (required) SQL REST APIs JSON FastAPI (preferred) Async Python Cloud Microsoft Azure Azure App Services Azure Linux VMs Azure Container Apps / AKS (preferred) Azure Managed Identity Azure Key Vault Azure Storage Azure Monitor Azure Event Hub Search

·       Technologies Elasticsearch Query DSL Relevance tuning Mapping design Aggregations Multi-search (msearch) Bulk indexing Search optimization Index lifecycle management Event Streaming Apache Kafka Confluent Cloud Producers / Consumers Kafka Connect Schema Registry

·       Event-driven architecture Data Engineering Databricks PySpark Delta Lake Data ingestion pipelines ETL/ELT DevOps Git Azure DevOps Azure Pipelines CI/CD Docker Infrastructure as Code (Terraform or Pulumi preferred) Databases PostgreSQL SQL Server Relational Databases Required

·       ExperienceMin 8+ years of software engineering experience. Strong Python backend development experience. Experience designing and operating production REST APIs.

·       Strong experience with Elasticsearch in production environments. Experience building scalable search platforms. Experience with Kafka or enterprise event-streaming platforms. Experience deploying applications on Microsoft Azure. Experience with CI/CD pipelines and automated deployments.

·       Experience troubleshooting production systems and performance issues. Strong understanding of distributed systems and microservices.

Preferred Qualifications:

·       Experience with AI-assisted search or intelligent matching platforms. Experience with Databricks and Delta Lake.

·       Experience with machine learning integration. Experience with semantic search or vector search.

·       Experience with Azure OpenAI or LLM integration. Healthcare or supply chain experience. Experience using GitHub Copilot or Codex.

 VeeRteq Solutions is an Equal Opportunity Employer