1

Azure Data Engineering Jobs in Texas (NOW HIRING)

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Fujitsu Managing Technical Consultant The Azure Data Lake Engineer is responsible for designing, building, and maintaining scalable data ingestion, storage, and processing solutions on Microsoft ...

azure data architect

Winters, TX · On-site +1

$60.50 - $78.75/hr

This contract position offers a unique opportunity to work remotely in the rapidly evolving field of computer software and engineering. As an Azure Data Architect, you will play a critical role in ...

Data Engineer - Dynamics 365 exp

Houston, TX · On-site

$109K - $131K/yr

Experience creating and managing Microsoft Fabric data pipelines or Azure Data Factory , including orchestration, monitoring, and error handling. * Expertise in Python for data engineering, advanced ...

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX ... Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and ...

Azure Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Azure Data Engineer Houston TX - Onsite from day 1 Project Overview: New project- credit card settlement system ( CCSS) to support P66 retail gas stations. CCSS is an app is on prem and we are moving ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Systems Engineer

Austin, TX

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline development, data modeling, and platform optimization, within Central Health's Snowflake and Azure ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline development, data modeling, and platform optimization, within Central Health's Snowflake and Azure ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline development, data modeling, and platform optimization, within Central Health's Snowflake and Azure ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Showing results 21-40

Azure Data Engineering information

What is the salary of Azure Data Engineer in Azure?

The average salary for an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Entry-level positions may start lower, while experienced professionals with advanced skills can earn higher salaries.

Is Azure Data Engineer in demand?

Azure Data Engineer roles are in high demand due to the increasing adoption of cloud data solutions and the need for managing large-scale data pipelines using tools like Azure Data Factory, Databricks, and Synapse Analytics. Employers seek professionals with skills in cloud platforms, data modeling, and SQL, and certifications such as Microsoft Certified: Azure Data Engineer Associate can enhance job prospects.
What cities in Texas are hiring for Azure Data Engineering jobs? Cities in Texas with the most Azure Data Engineering job openings:
Infographic showing various Azure Data Engineering job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Azure Data / Search Engineer

VeeRteq Solutions Inc.

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 12 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