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Cloud Data Engineer Jobs in Texas (NOW HIRING)

Cloud Data Engineer

Austin, TX · Remote

$55.25 - $73.75/hr

Cloud Data Engineer The Location: Open for Remote We are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft ...

Cloud Data Engineer

Fort Worth, TX · On-site

$50 - $67/hr

The cloud data engineer is responsible for data engineering and analysis support to the contract management and tax applications. This position requires a proactive mindset, strong technical ...

Cloud Data Engineer

Dallas, TX · On-site

$55.25 - $73/hr

Overview: Omni's Cloud Data Engineer specializing in Microsoft Fabric is responsible for designing, building, and managing end-to-end data pipelines within the unified Microsoft Fabric SaaS ...

AWS Cloud Data Engineer

Boerne, TX · On-site

$107K - $129K/yr

We are seeking an experienced AWS Data Engineer to design, build, and maintain robust data pipelines, and data processing solutions in the AWS cloud environment. * This role will work closely with ...

AWS Cloud Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

We are seeking an experienced AWS Data Engineer to design, build, and maintain robust data pipelines, and data processing solutions in the AWS cloud environment. * This role will work closely with ...

AWS Cloud Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

We are seeking an experienced AWS Data Engineer to design, build, and maintain robust data pipelines, and data processing solutions in the AWS cloud environment. * This role will work closely with ...

Principal Cloud Data Engineer The Principal Cloud Data Engineer is a hands‑on role liaising with product organization and product owners to design, build, and maintain reliable, scalable data ...

New

The Principal Cloud Data Engineer is a hands-on role and will liaise with product org and PO/PM to design, build and maintain reliable, scalable data products/data pipelines and core data platform ...

GCP Data Engineer

Dallas, TX · On-site

$107K - $129K/yr

Professional Cloud Data Engineer Certification is a plus Requisite Abilities and/or Skills * Perform requirement gathering with the business users and SME and build a plan * Perform ETL and data ...

Cloud Data Platform Engineer

Irving, TX · On-site

$51.75 - $69.25/hr

Job Summary : eTeam is working with US Bank - TOS to find a Cloud Data Platform Engineer. The role involves supporting Azure & AWS Databricks from a DevOps perspective, focusing on cloud ...

Data Engineer

Westlake, TX · On-site

$60/hr

Data Engineer Target Pay Rate: Maximum USD $60.00/hr C2C * Location: Westlake, TX * Work Mode ... Familiarity with cloud data platforms (Snowflake, AWS, Azure, or Google Cloud Platform). Key ...

Cloud Big Data Software Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Cloud Big Data Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big ...

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Cloud Data Engineer information

See Texas salary details

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$58

$81

How much do cloud data engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for cloud data engineer in Texas is $58.59, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.73 per hour, depending on experience, location, and employer.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a cloud data engineer?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and storage solutions in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data security, and optimize data workflows to support analytics and business intelligence. Proficiency in programming, database management, and cloud services is essential for this role.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.
What are the most commonly searched types of Cloud Data Engineer jobs in Texas? The most popular types of Cloud Data Engineer jobs in Texas are:
What are popular job titles related to Cloud Data Engineer jobs in Texas? For Cloud Data Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Cloud Data Engineer jobs? Cities in Texas with the most Cloud Data Engineer job openings:
Infographic showing various Cloud Data Engineer job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 5% Temporary, and 10% Contract. Highlights an 83% In-person, 7% Hybrid, and 10% Remote job distribution, with an average salary of $121,863 per year, or $58.6 per hour.

$55.25 - $73.75/hr

Full-time

Re-posted 16 days ago


Job description

Description

The Position: Cloud Data Engineer

The Location: Open for Remote


We are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft Cloud experience, including Azure, and deep exposure with tools such as Snowflake and/or Databricks. 


We are a company with multiple Gold Competencies based in Austin, TX, and we specialize in Microsoft Cloud consulting and licensing. 


You will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure).


Requirements

What do we need?


Bachelor's Degree

More than two years of data engineering and architecture experience

More than two years of experience cloud analytics (GCP, AWS or Azure)

More than two years of experience with Snowflake and/or Databricks

Active Secret or above government security clearance is required

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future


Bonus Qualifications:


2+ years of prior professional services or federal consulting experience

Creativity and innovation - desire to learn and apply new technologies, products, and libraries.

Strong written and verbal communication skills

Strong organizational skills



If you're interested, apply here or contact:

Clarissa P. Tolentino | Senior Recruiter

TRI Solutions, Inc. | ctolentino@trisolutionsinc.com
Phone: 512-400-2552


TRI Solutions, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making decisions to hire without regard to race, color, religion, sex, age, disability, or veteran status. We offer a culture of teamwork, accountability, respect, progression, and support.