ZipRecruiter

Log In

1

Cloud Data Engineer Jobs in Texas (NOW HIRING)

Raas Infotek LLC

Lead Data Engineer

Manor, TX · On-site

$123K - $148K/yr

Senior/Lead Data Engineer Experience: 10+ Years Employment Type: Contract W2 only About the Role We ... Optimize pipeline performance, cost, and scalability across cloud environments * Collaborate with ...

Allworth Financial

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate has broad hands-on experience across data engineering, cloud data platforms, ETL/ELT design, data modeling, orchestration, performance tuning, data quality, and governance. We are ...

ApTask

Data Engineer

Grand Prairie, TX · On-site

$160K/yr

Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. * Strong SQL and Python proficiency with ...

First Citizens Bank

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data ...

Delan Associates, Inc.

Cloud Data Migration Engineer

Austin, TX · On-site +1

$55.25 - $73.75/hr

Cloud Data Migration Engineer Austin, Texas (Hybrid - 3 Days Remote | Onsite Monday & Thursday) Experience: Minimum 12+ Years Mandatory Skills • Oracle Database Migration • AWS Database Migration ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$70K - $80K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such ...

First Citizens Bank

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data ...

Delan Associates, Inc

Cloud Data Migration Engineer

Austin, TX · On-site +1

$55.25 - $73.75/hr

Cloud Data Migration Engineer Austin, Texas (Hybrid - 3 Days Remote | Onsite Monday & Thursday) Experience: Minimum 12+ Years Mandatory Skills Oracle Database Migration AWS Database Migration Service ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$120K - $130K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such ...

Tata Consultancy Service Limited

Engineer

Dallas, TX · On-site

$70K - $80K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such ...

Tata Consultancy Service Limited

Data Engineer

Irving, TX · On-site

$125K - $140K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Strategically manage data layout, partitioning, and indexing within Apache Hive and various cloud ...

LPL Financial

Engineer II, Data (Cloud & AI)

Austin, TX · On-site

$55.25 - $73.75/hr

The Engineer II, Data (Cloud & AI) is responsible for designing, building, supporting, and optimizing cloud-native data solutions within the Enterprise Data Integration Framework (EDIF). This role ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced ...

previous page

Showing results 41-60

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 Sep 1, 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 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 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.

Lead Data Engineer

Raas Infotek LLC

Manor, TX • On-site

$123K - $148K/yr

Other

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

Job description

Position: Senior/Lead Data Engineer


Experience: 10+ Years
Employment Type: Contract W2 only

About the Role

We are looking for a highly experienced Data Engineer to design, build, and optimize scalable data platforms and pipelines. The ideal candidate has deep expertise across the modern data stack, strong architectural judgment, and the ability to lead data engineering initiatives end-to-end while mentoring junior engineers and collaborating closely with data science, analytics, and business teams.

Key Responsibilities
  • Design, build, and maintain scalable, reliable ETL/ELT pipelines for structured and unstructured data
  • Architect and optimize data warehouses, data lakes, and lakehouse solutions
  • Lead the design of data models (dimensional, normalized, and denormalized) to support analytics and reporting
  • Build and manage batch and real-time streaming data pipelines
  • Ensure data quality, integrity, governance, and security across all pipelines and platforms
  • Optimize pipeline performance, cost, and scalability across cloud environments
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
  • Implement CI/CD practices for data pipelines and infrastructure-as-code
  • Monitor, troubleshoot, and resolve production data pipeline issues (on-call/incident support as needed)
  • Establish and enforce data engineering best practices, standards, and documentation
  • Lead technical design reviews and mentor junior/mid-level data engineers
  • Evaluate and integrate new tools/technologies to improve the data platform
Required Skills & Experience
  • 10+ years of experience in data engineering, data warehousing, or related fields
  • Strong programming skills in Python, Scala, or Java
  • Expert-level SQL and experience with query optimization on large datasets
  • Hands-on experience with big data technologies: Spark, Hadoop, Kafka, Hive
  • Strong experience with cloud data platforms – AWS (Redshift, Glue, EMR, S3), Azure (Synapse, Data Factory, Databricks), or Google Cloud Platform (BigQuery, Dataflow, Dataproc)
  • Experience with modern data warehouse/lakehouse platforms – Snowflake, Databricks, or similar
  • Proficiency in orchestration tools – Airflow, Dagster, or similar
  • Solid understanding of data modeling (Star/Snowflake schema, Data Vault) and dimensional design
  • Experience with real-time/streaming architectures (Kafka, Kinesis, Flink, Spark Streaming)
  • Strong knowledge of CI/CD, version control (Git), and infrastructure-as-code (Terraform/CloudFormation)
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Understanding of data governance, security, lineage, and compliance (GDPR/HIPAA as applicable)
  • Proven experience architecting solutions from scratch and leading data engineering teams/projects
  • Excellent problem-solving, debugging, and performance-tuning skills
Good to Have
  • Experience with dbt (data build tool) for transformation workflows
  • Exposure to MLOps and supporting ML pipelines/feature stores
  • Experience with DataOps practices and data observability tools (Monte Carlo, Great Expectations)
  • Knowledge of API development for data services
  • Relevant cloud certifications (AWS Certified Data Analytics, Azure Data Engineer Associate, Google Cloud Platform Professional Data Engineer)
  • Experience in a specific domain (Finance, Healthcare, Retail, etc. – customize as needed)
Educational Qualification
  • Bachelor''s/Master''s degree in Computer Science, Data Engineering, Information Systems, or related field
Soft Skills
  • Strong communication skills to work with cross-functional and non-technical stakeholders
  • Leadership ability to mentor and guide junior engineers
  • Ability to drive projects independently with minimal supervision
  • Strong ownership mindset and attention to data quality/detail

Apply