ZipRecruiter

Log In

1

Cloud Data Engineer Jobs in Texas (NOW HIRING)

Tixy Services LLC

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Job Title: Senior Data Engineer Location: Dallas, TX (Onsite) Employment Type: Full-time Job ... Cloud Data Platforms * Build and support enterprise cloud data platforms using: * Snowflake

Mindsource Inc

AWS Data Engineer

Haltom City, TX · On-site

$100K - $121K/yr

We are seeking an experienced AWS Data Engineer to design, build, maintain, and optimize scalable cloud-based data platforms that support enterprise analytics, reporting, operational insights, and ...

Beacon Systems, Inc

Cloud Data Migration Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

Position: Cloud Data Migration Engineer Location: Hybrid - Austin, TX Duration: 12 Months Cloud Data Migration Engineer with hands-on experience migrating Oracle workloads to AWS using AWS DMS ...

Allworth Financial

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role will support the modernization of legacy SQL-based processes into scalable, maintainable cloud data pipelines, while also helping us identify architectural gaps, improve engineering ...

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

Hands-on experience with a modern cloud data platform / lake house (Databricks, Microsoft Fabric ... Strong Python skills for data engineering, including PySpark. * Working knowledge of data quality ...

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Experience with Snowflake CoCo and modern cloud data engineering practices is highly desirable. • Design, develop, and maintain scalable ELT/ETL pipelines using Snowflake and dbt. • Build ...

Cymertek

Cloud Analytic Software Engineer

San Antonio, TX · On-site

$54.50 - $71/hr

Cloud Analytic Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please ... The ideal candidate is passionate about cloud computing, data analytics, and software development ...

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Experience with Snowflake CoCo and modern cloud data engineering practices is highly desirable. Experience: 5+ years in Data Engineering with at least 3 years of hands-on experience in Snowflake and ...

Smile Doctors

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop ingestion patterns from enterprise source systems into cloud data warehouses * Build and optimize analytics-ready data models to support enterprise metrics and reporting * Implement data ...

Gigapower

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Key Responsibilities • Design and build scalable cloud-based data models that integrate operational, financial, engineering, and field data into reliable and queryable data assets. • Develop and ...

previous pagenext page

Showing results 21-40

All JobsCloud Data Engineer JobsCloud Data Engineer Jobs in Texas

Cloud Data Engineer information

See Texas salary details

$21

$58

$81

How much do cloud data engineer jobs pay per hour?

As of Aug 15, 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 job categories do people searching Cloud Data Engineer jobs in Texas look for?

The top searched job categories for 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:

Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in Texas as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 5% Temporary, and 9% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $121,863 per year, or $58.6 per hour.

Senior Data Engineer

Tixy Services LLC

Dallas, TX • On-site

$105K - $143K/yr

Other

Posted 9 days ago

Job description

Job Title: Senior Data Engineer

Location: Dallas, TX (Onsite)
Employment Type: Full-time
Job Summary
We are seeking an experienced Senior Data Engineer to support a large-scale enterprise data platform modernization and system migration initiative. This role will be responsible for designing, building, and optimizing scalable data pipelines, data warehouses, and cloud-based data platforms that enable trusted analytics and AI-driven decision-making.
The ideal candidate will have extensive experience with Python, SQL, ETL/ELT development, Snowflake, BigQuery, dbt, Airflow, and cloud data platforms. Experience within the Mortgage Industry, particularly in mortgage servicing, settlements, remittances, and servicing workflows, is highly preferred.
In addition to hands-on data engineering, this role requires collaboration with business stakeholders, architects, data scientists, and engineering teams to support platform migration, data validation, governance, and successful project delivery.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration.
  • Build high-performance, reusable data pipeline frameworks using Python and SQL.
  • Develop and optimize enterprise data warehouses and cloud-native data platforms.
  • Implement robust data integration solutions supporting analytics, reporting, and AI initiatives.
  • Optimize data processing performance, scalability, and reliability.
Data Modeling
  • Design and implement scalable data models, including:
    • Star Schema
    • Snowflake Schema
    • Data Vault
  • Establish data modeling standards aligned with enterprise architecture.
  • Ensure consistency, scalability, and performance across data solutions.
Cloud Data Platforms
  • Build and support enterprise cloud data platforms using:
    • Snowflake
    • Google BigQuery
    • Databricks
    • Amazon Redshift
    • Microsoft Fabric
  • Collaborate with Cloud Architects and Platform Engineers on cloud-native solutions.
  • Support multi-cloud data engineering initiatives across AWS, Azure, and Google Cloud Platform.
System Migration & Data Validation
  • Support the technical execution of large-scale system migration projects.
  • Build migration pipelines and validate migrated data.
  • Perform reconciliation and data quality validation throughout migration activities.
  • Collaborate with cross-functional teams during migration planning, testing, cutover, and post-production validation.
  • Support stakeholder alignment and operational readiness throughout project execution.
Data Governance & Quality
  • Implement data quality, validation, monitoring, and governance frameworks.
  • Define and maintain data quality SLAs and operational monitoring standards.
  • Support metadata management, data lineage, access controls, and compliance requirements.
  • Ensure data integrity, security, and consistency across enterprise platforms.
Infrastructure & Automation
  • Automate data platform deployments using Terraform or similar Infrastructure-as-Code (IaC) tools.
  • Develop and maintain CI/CD pipelines for data engineering solutions.
  • Drive automation and continuous improvement across engineering processes.
Leadership & Collaboration
  • Partner with Product Managers, Business Analysts, Data Architects, and Data Scientists to deliver enterprise data solutions.
  • Mentor junior engineers and promote engineering best practices.
  • Lead technical discussions, solution design, and architecture reviews.
  • Contribute to Agile planning, sprint execution, and cross-functional delivery.
Required Qualifications
  • Bachelor''s degree in computer science, Information Technology, Engineering, or a related field.
  • 8+ years of experience designing and implementing enterprise-scale data engineering solutions.
  • Strong experience supporting enterprise data migration and modernization initiatives.
  • Advanced expertise in SQL and enterprise data modeling.
  • Strong programming experience with Python.
  • Extensive experience designing and developing ETL/ELT pipelines.
  • Hands-on experience with cloud data platforms including Snowflake, BigQuery, Databricks, Redshift, or Microsoft Fabric.
  • Experience with orchestration tools such as Airflow, dbt, or Informatica.
  • Strong understanding of cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Experience with Terraform or other Infrastructure-as-Code (IaC) tools.
  • Strong knowledge of CI/CD processes for data platform deployments.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience within the Mortgage Industry, including:
    • Mortgage Servicing
    • Asset-Backed Finance (ABF)
    • Settlements
    • Remittances & Cash Consolidation
    • Servicing Workflows
  • Experience leading enterprise system migration programs.
  • Experience with Product or Program Management throughout the software development lifecycle.
  • Experience working in Agile or hybrid delivery environments.
  • Knowledge of enterprise data governance and compliance frameworks.
Required Technical Skills
Programming
  • Python
  • SQL
Data Engineering
  • ETL / ELT
  • Data Modeling
  • Star Schema
  • Snowflake Schema
  • Data Vault
  • Data Warehousing
  • Data Integration
Cloud Data Platforms
  • Snowflake
  • Google BigQuery
  • Databricks
  • Amazon Redshift
  • Microsoft Fabric
Data Orchestration
  • Apache Airflow
  • dbt
  • Informatica
Cloud Platforms
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (Google Cloud Platform)
Infrastructure & DevOps
  • Terraform
  • Infrastructure as Code (IaC)
  • CI/CD
  • Git
Analytics & Reporting
  • Tableau
  • Power BI
Data Governance
  • Metadata Management
  • Data Lineage
  • Data Quality
  • Data Validation
  • Access Controls
  • Compliance
Preferred Certifications
  • Snowflake SnowPro Certification
  • AWS Certified Data Analytics – Specialty
  • Microsoft Azure Data Engineer Associate
  • Google Cloud Professional Data Engineer
Core Competencies
  • Enterprise Data Engineering
  • Cloud Data Platform Architecture
  • ETL/ELT Development
  • Data Pipeline Optimization
  • Data Warehouse Design
  • Data Migration & Modernization
  • Data Governance & Quality
  • Infrastructure as Code (IaC)
  • Agile Delivery
  • Technical Leadership
  • Cross-functional Collaboration
  • Stakeholder Management
 

Apply