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Cloud Data Engineer Jobs in Texas (NOW HIRING)

Cloud Data Engineer

Murphy, TX · On-site

$109K - $131K/yr

Cloud Data Engineer Location: Seattle, WA / Dallas, TX Type: Full-Time Overview We are looking for a skilled Cloud Data Engineer to design and build scalable data platforms and pipelines, primarily ...

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

Murphy, TX · On-site

$109K - $131K/yr

Cloud Data Engineer Location: Seattle, WA / Dallas, TX Type: Full-Time Overview We are looking for a skilled Cloud Data Engineer to design and build scalable data platforms and pipelines, primarily ...

Cloud Data Engineer Location: Seattle, WA / Dallas, TX Duration: Fulltime Must Have Technical/Functional Skills * 5+ years of experience building platforms and data products * 5+ years of experience ...

Cloud Data Engineer Location: Seattle, WA / Dallas, TX Duration: Fulltime Must Have Technical/Functional Skills * 5+ years of experience building platforms and data products * 5+ years of experience ...

Cloud Data Engineer (Microsoft Fabric OR Azure Data Factory) | Full-Time Location: 100% Onsite In Dallas, TX Type: Full-Time Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual ...

Cloud Data Engineer (Microsoft Fabric OR Azure Data Factory) | Full-Time Location: 100% Onsite In Dallas, TX Type: Full-Time Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual ...

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 ...

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

$113K - $136K/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 ...

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 ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/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 ...

TX · On-site

$104K - $142K/yr

Cloud Engineer, GCP, LangChain or LangGraph  * 5+ years of experience in data engineering including hands-on experience working with Hadoop and Google Cloud data solutions: creating/supporting ...

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Cloud Data Engineer information

See Texas salary details

$21

$58

$81

How much do cloud data engineer jobs pay per hour?

As of Sep 5, 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 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 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 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 does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and infrastructure in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data storage, and ensure data quality and security to support analytics and business decision-making.

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 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 74% Full Time, and 26% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $121,863 per year, or $58.6 per hour.

Cloud Data Engineer

3B Staffing LLC

Murphy, TX • On-site

$109K - $131K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Hi,

Hope you are doing well!

This is Aditya from Jconnect INC

Job Title: Cloud Data Engineer
Location: Seattle, WA / Dallas, TX
Type: Full-Time

Overview

We are looking for a skilled Cloud Data Engineer to design and build scalable data platforms and pipelines, primarily supporting HR data and analytics use cases. The ideal candidate will have strong experience in cloud data engineering, ETL/ELT pipelines, and data warehousing, along with exposure to multi-cloud environments (AWS/Azure/GCP).

Key Responsibilities

  • Design and own end-to-end cloud data platform architecture (ingestion, storage, processing, and serving).
  • Build and optimize data pipelines (ETL/ELT) for structured and unstructured data.
  • Develop data models and data products aligned with business and ML requirements.
  • Implement data ingestion strategies (batch & streaming) from HR systems (HRIS, payroll, LMS, etc.).
  • Work on data lakes, data warehouses, and APIs for data access.
  • Collaborate with stakeholders to translate business requirements into technical solutions.
  • Lead development of scalable, reusable, and automated data pipelines across multi-cloud environments.
  • Ensure data quality, governance, and performance optimization.
  • Support DevOps/CI-CD practices and maintain version-controlled data workflows.

Required Skills

  • 5+ years of experience in Data Engineering / Data Warehousing
  • Strong experience with AWS (Glue, Lambda, Redshift) or Azure/GCP
  • Expertise in ETL/ELT pipelines and data pipeline tools
  • Strong SQL / Data Modeling skills
  • Experience with APIs for data ingestion
  • Knowledge of data lakes, data warehouses, and big data architectures
  • Experience with multi-cloud environments (AWS/Azure/GCP)

Preferred Skills

  • Experience working with HR data (HRIS, payroll, LMS, etc.)
  • Exposure to Machine Learning / AI data pipelines
  • Experience with DevOps, CI/CD (Azure DevOps, Git, GitLab)
  • Knowledge of microservices, cloud-native applications, PCF/Tanzu
  • Strong communication and stakeholder management skills

Experience

  • 5+ years in Cloud Data Engineering / Data Platforms
  • Experience building scalable data pipelines and platforms
  • Experience working in enterprise data environments

Please send me your updated resume ASAP with below details:

Full Legal Name:

Current Location:

Willing to Relocate:-

E-mail:

Cell:

Rate/Salary:

Availability:

Are you still in Project:

Work Status:

LinkedIn profile ID:-

Best Regards,

Aditya Srivastava
(IT Recruiter)

Jconnect Infotech Inc.
168 Barclay Center Ste. 347
Cherry Hill, NJ 08034
| Email: aditya.s@jconnectinc.com |

[We are an E-Verify and Equal Employment Opportunity Employer with adherence to EEO policy]