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Remote Azure Data Engineer Jobs in Houston, TX (NOW HIRING)

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

The Principal Data Engineer partners with technology, governance, analytics, and business ... Remote 100% within Texas only Why Us. UT MD Anderson offers the opportunity to lead transformative ...

Data Engineer - Snowflake

Houston, TX ยท On-site +1

$107K - $126K/yr

About The Role We are seeking a highly skilled hands-on Snowflake Data Engineer to help scale our modern Data platform. You will bridge the gap between raw data and actionable intelligence by ...

Azure Security Engineer

Spring, TX ยท On-site +1

$60 - $70/hr

REMOTE - Spring, TX USA Employment Type: Contact Role Pay Range: $60/hr - $70/hr - Role Overview/Job Responsibilities Looking for an Azure Security engineer. We recently upgraded to M365 E5 licensing ...

Strong Azure cloud experience. * Python/PySpark, Java programming. * Experience building UI with ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

Lead Engineer (Azure)

Houston, TX ยท On-site +1

$98K - $132K/yr

Data Protection : Purview, DLP, Sensitivity Labels, DSPM * Cloud Security : Azure Defender for ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

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Remote Azure Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do remote azure data engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote azure data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Azure Data Engineer jobs in Houston, TX? The most popular types of Azure Data Engineer jobs in Houston, TX are:
What are popular job titles related to Remote Azure Data Engineer jobs in Houston, TX? For Remote Azure Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Engineer jobs in Houston, TX look for? The top searched job categories for Remote Azure Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Azure Data Engineer jobs? Cities near Houston, TX with the most Remote Azure Data Engineer job openings:
Infographic showing various Remote Azure Data Engineer job openings in Houston, TX as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Cactus Wellhead - Data Engineer & Architect

Cactus Wellhead, LLC

Houston, TX โ€ข On-site, Remote

Full-time

Posted 8 days ago


Job description

This is a Cactus Wellhead position and is located in Houston, TX

Looking for local candidate

In office 4 days; work from home 1 day (option)ย 

JOB SUMMARY: The Senior Data Engineer / Data Architect is responsible for designing, building, and governing the enterprise data platform on Azure Databricks. This role owns both hands-on data engineering delivery and data architecture design, ensuring that enterprise data is reliable, scalable, secure, and ready to support analytics, reporting, and AI initiatives.

The position plays a critical role in transforming data from ERP, CRM, and other enterprise systems into trusted, reusable data products that enable business insights and future AI capabilities. The role operates with high ownership across the full lifecycle, from ingestion and transformation to data modeling, governance, and platform optimization, aligned with a modern Lakehouse architecture.

ESSENTIAL FUNCTIONS, ROLES AND RESPONSIBILITIES: Essential duties and responsibilities include the following:

  1. Data Engineering & Pipeline Development
    1. Design and build end-to-end data pipelines (batch and near real-time) using Databricks and Spark
    2. Implement and maintain Bronze / Silver / Gold data architecture layers
    3. Ingest data from ERP, SaaS applications, APIs, and legacy systems into Lakehouse
    4. Optimize pipelines for performance, scalability, and cost efficiency
    5. Implement CI/CD pipelines using GitHub
  2. Data Architecture & Modeling
    1. Define and maintain the enterprise data architecture and standards
    2. Design logical and physical data models across core business domains (finance, operations, field service)
    3. Establish consistent definitions for critical entities (customer, job, revenue, etc.)
    4. Ensure data structures support both analytics and AI/ML workloads
  3. Data Governance, Security & Quality
    1. Implement and manage Unity Catalogโ€“based governance (RBAC, lineage, auditability)
    2. Define and enforce data standards for naming, access control, and data quality
    3. Ensure compliance with security policies (e.g., sensitive HR and financial data protection)
    4. Establish monitoring, validation, and reconciliation processes to ensure data accuracy and reliability
  4. Platform & Integration Design
    1. Define scalable patterns for:
      1. Data ingestion
      2. Transformation pipelines
      3. Data access (BI tools, APIs, AI models)
    2. Integrate Databricks with Azure services (ADLS, APIs, enterprise systems)
    3. Ensure platform reliability, observability, and operational excellence
  5. AI & Advanced Analytics Enablement
    1. Prepare and structure data for AI/ML use cases and automation initiatives
    2. Partner with analytics and AI teams to deliver datasets supporting predictive models and AI-driven workflows
    3. Enable reusable datasets and feature-ready data pipelines
  6. Collaboration & Leadership
    1. Partner with business stakeholders, application teams, and analytics teams to translate requirements into scalable solutions
    2. Provide technical leadership for data engineering best practices and architecture decisions
    3. Mentor junior engineers or contractors as the platform scales

EDUCATION, TRAINING, EXPERIENCE:

Experience

  • 6โ€“10+ years of experience in data engineering, data architecture, or enterprise data platforms
  • Hands-on experience building and supporting data pipelines in cloud environments
  • Experience working with enterprise systems (ERP, CRM, or similar)

Technical Skills

Strong expertise in:

  • Azure Databricks / Apache Spark
  • Python / PySpark
  • SQL (advanced)

Experience with:

  • Azure Data Lake Storage (ADLS)
  • CI/CD with Github
  • API and data integration patterns

Strong understanding of:

  • Data modeling (dimensional and normalized)
  • Data governance and security (RBAC, lineage)

Preferred Qualifications

  • Experience with Delta Lake and Lakehouse architecture
  • Exposure to ML/AI pipelines or data science workflows
  • Experience in manufacturing, oil & gas, or ERP-heavy environments

CERTIFICATIONS, LICENSES, REGISTRATIONS:

  • None required

JOB KNOWLEDGE, SKILLS, ABILITIES:

  • Familiarity with modern programming languages and frameworks (C#, .NET, SQL, JavaScript).
  • Experience with DevOps, CI/CD, and source control for ERP development.
  • Knowledge of cloud-based ERP solutions and migration strategies.
  • Strong background in data integration, ETL, and reporting tools (Power BI, SSRS, Tableau).

SUPERVISORY RESPONSIBILITIES: NONE

  • Occasionally may be exposed to hazards such as loud noise, heavy equipment, temperature extremes, toxic or caustic chemicals; risk of electrical shock.
  • The noise level in the work environment is usually moderate.

Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this position. Duties, responsibilities, and activities may change at any time with or without notice.

Cactus Companies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, genetic information, or any other characteristic protected by law.

Safety is our top priority. All employees must comply with our comprehensive safety programs, participate in required safety training, and demonstrate commitment to our safety-first culture. This position may require working in potentially hazardous environments if you are traveling to a branch or plant location. Ensure that you follow all safety guidelines that are required when working in the field, branch or manufacturing facility.

This position generally operates in a professional office environment. The role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. While performing the duties of this job, the employee is regularly required to:

  • Sit for extended periods at a desk and work on a computer
  • Use hands to finger, handle, or feel objects, tools, or controls
  • Reach with hands and arms
  • Talk and hear
  • Occasionally lift and/or move up to 25 pounds
  • Walk or stand periodically throughout the day
  • Maintain sustained concentration on computer screens
  • Work under deadlines with frequent interruptions

The noise level in the work environment is usually moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Cactus Companies maintains a drug-free workplace and participates in E-Verify.