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

Phillips 66

Advisor II, Data Engineer

Houston, TX · On-site

$108K - $133K/yr

Experience with Databricks, Azure data services, Azure storage, or similar modern cloud data platforms * Experience with Azure DevOps or comparable tools for repositories, pipelines, release ...

Phillips 66

Advisor II, Data Engineer

Houston, TX · On-site

$108K - $133K/yr

Experience with Databricks, Azure data services, Azure storage, or similar modern cloud data platforms * Experience with Azure DevOps or comparable tools for repositories, pipelines, release ...

Lorven Technologies

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Our client is looking Data Engineer for Long Term project in Houston, TX (onsite only) Below is the ... Cloud Platforms (Azure/AWS) • Software Development fundamentals • System Design and ...

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Microsoft Fabric, Azure Data Factory, or similar tools. * Familiarity with ERP ...

Quanex

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Microsoft Fabric, Azure Data Factory, or similar tools. * Familiarity with ERP ...

DEXTER TECHNOLOGIES INC

Data Analytics Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a ... Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ... Experience with cloud platforms such as AWS, Azure, or GCP. * Strong knowledge of Data Warehousing ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Experience with cloud platforms such as AWS, Azure, or GCP. * Strong knowledge of Data Warehousing ... Certifications Databricks Certified Data Engineer Associate/Professional #J-18808-Ljbffr

Pwc

Data Strategy-Manager

Houston, TX · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

NAVA Software Solutions

Lead Data Engineer

Houston, TX · On-site

Lead Data Engineer /Integrations Location: Houston TX - 3 days onsite Duration: Full time /Direct ... Expert on integration technologies such as Azure Data Factory, Databricks, Logic Apps, sFTP, SSIS, ...

Guidehouse

Data Engineer

Houston, TX · On-site

$89K - $148K/yr

Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes). * Collaborate with DBAs and application developers to design and integrate data models ...

Pwc

Data Governance- Manager

Houston, TX · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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Showing results 41-60

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

Azure Data Engineer information

See Spring, TX salary details

$37.7K

$109.8K

$150.2K

How much do azure data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for azure data engineer in Spring, TX is $109,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $116,400.00 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $109,796 per year, or $52.8 per hour.

Sr Data Tech Lead - Trading and Supply Freight Data Platform

Houston, TX • On-site

Engineers and Constructors International Inc.
See more jobs at Engineers and Constructors International Inc.external

$130/hr

Contractor

Re-posted 28 days ago

Job description

Join the ECI Group's Professional Technical Services Network as a contract Sr Data Tech Lead - Trading and Supply Freight Data Platform.  This is a Houston based contract role with an anticipated 6-month duration with an estimated start date of July 1st.  Note: You must be a US Citizen or Permanent US Resident to qualify for this position. 
About the Role
As a Data Tech Lead, you will provide end-to-end leadership across architecture, engineering, governance, and capability development.
You will:
  • Deliver sustainable and innovative solutions to unlock value from data.
  • Lead the architecture, Design and implementation of on-premises/cloud-based application development and Data solutions.
  • Engage cross-functional teams to support project stakeholders in delivering data scope and operational excellence.
  • Drive governance, metadata management, Data Modelling, cost optimization, high-volume performance tuning and agility in delivery.
  • Engage effectively with senior leadership, resolve conflicts proactively, and represent the data organization with confidence and clarity.
Key Responsibilities
Leadership & Strategy
  • Drive the architecture, design, and delivery of Data ecosystems for futuristic data platform.
  • Define data product roadmaps and drive development of data solution using approved tech stack and related technologies.
  • Align data engineering initiatives with long-term business and technology strategies.
  • Provide technical leadership to ensure adherence to best practices, standards, and quality expectations.
Technical Oversight
  • Lead data modelling and architecture using tools such as SAP PowerDesigner and WizDesign.
  • Develop and optimize intelligent, AI‑augmented data pipelines across ADF, ADLS, Databricks, DLT, and Structured Streaming to enable high‑performance data delivery.
  • OLTP schema design, normalization, indexing strategy, Performance tuning for transactional systems
  • Transaction management, concurrency, deadlocks
  • PostgreSQL, MySQL, SQL Server expertise (depending on Shell standards)
  • Optimize Databricks workloads with a strong focus on performance and cost efficiency.
  • Implement robust security, governance, lineage, and metadata controls using Unity Catalog.
  • Troubleshoot pipeline issues, ensure high data quality, and enforce SLA compliance.
Governance & Quality Assurance
  • Establish data governance frameworks covering security, privacy, quality, and lifecycle management.
  • Monitor pipeline performance and lead root cause analysis for data and process issues.
  • Drive CI/CD and touchless change management frameworks to enable seamless deployments.
Stakeholder Management
  • Collaborate closely with PMs, BAs, Data Scientists, Architects, and business stakeholders.
  • Translate complex technical concepts into business terms for executive audiences.
  • Resolve conflicts and ensure alignment across strategic priorities.
  • Stakeholder management & executive communication
Required Skills & Experience
Technical Expertise
  • 12–17 years of experience in data engineering, data architecture, or analytics platforms.
  • Deep expertise in:
    • Azure Data Engineering (ADF, ADLS, Databricks, , DLT), AZURE Function, SQL, REST/FAST API, LogicApps
    • Databricks Delta Live Tables & Structured Streaming
    • Unity Catalog governance and lineage
  • Strong hands-on skills in SQL, Python, Spark/Scala.
  • Strong experience in data modeling, data architecture, and metadata management.
  • CI/CD for application delivery (Azure DevOps/GitHub Actions)
  • Containerization (Docker), Kubernetes basics
  • API gateway, reverse proxies, load balancing
  • Solution Data Architecture,  Data Modeling tools like SAP PowerDesigner, BiZ Design
AI & Future-Ready Skills
  • Working knowledge of AI/ML, GenAI, Agentic AI, and applying AI for data engineering automation.
  • Ability to envision and build future-ready, scalable data ecosystems.
Soft Skills / Leadership Competencies
  • Proven ability to lead mid-sized to large technical teams.
  • Strong decision-making capabilities backed by data.
  • Exceptional communication and executive presentation skills.
  • Conflict management and stakeholder alignment experience.
  • High accountability, ownership, and ability to drive independent outcomes.
  • Adaptability and continuous learning mindset.
Nice to Have
  • Experience with Kafka, Hadoop, Spark Streaming.
  • Experience with workflow tools like Airflow, Azkaban, Luigi.
  • Knowledge of PowerBI/QlikSense visualizations.
  • Certifications in Azure Data Engineer, Databricks, AI/ML, or Data Science.
  • Experience with GitHub/Azure DevOps, CI/CD, Agile/Kanban methodologies.
  • Understanding of Freight Domain like Voyage Management, Chartering, Freight Pricing, Demurrage, Laytime, Port calls, Vessel scheduling
  • Integration with RightAngle, Endur, Veson IMOS or internal Shell Freight systems
  • Knowledge of T&S business processes
Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice.

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