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Cloud Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... across cloud data platforms (AWS, Snowflake) -Partner with AML stakeholders and data engineering leads to define technical requirements -Document data engineering architecture, standards, and ...

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 ...

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

About the Role We are seeking an experienced Data Engineer to design, build, and maintain scalable cloud data pipelines supporting high-volume manufacturing and IoT data. The ideal candidate will ...

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Data Engineer - Cloud Infrastructure (BigQuery, Python, Terraform) Summary: We are seeking a highly skilled Data Engineer with hands-on experience in BigQuery, Python, SQL, and Terraform to help ...

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Data Engineer - Cloud Infrastructure (BigQuery, Python, Terraform) Summary: We are seeking a highly skilled Data Engineer with hands-on experience in BigQuery, Python, SQL, and Terraform to help ...

The Principal Cloud Data Engineer is a hands-on role and will liaise with product organd PO/PM to design, build andmaintainreliable, scalabledata products/datapipelines and core data platform ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

They are seeking a Data Engineer to work with Snowflake cloud data platform and build data warehouse solutions, requiring a strong background in data processing and pipeline development.

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 ...

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

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

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

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

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Data Engineer (Contract)- 5 new contract openings * Location: Onsite 2 days a week * Irving, TX or ... The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud ...

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Data Engineer (Contract)- 5 new contract openings * Location: Onsite 2 days a week * Irving, TX or ... The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud ...

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 ...

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 ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/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 ...

Showing results 21-40

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.

$139K - $209K/yr

Full-time

Posted 4 days ago


Job description

CompanyFederal Reserve Bank of BostonWhen you join the Federal Reserve-the nation's central bank-you'll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we're building a dynamic and diverse team for our future.
The District IT & Corporate Services portfolio provides enterprise technology solutions and services for the System's District IT needs as well as the corporate and administrative functions. This portfolio supports District IT for each of the 12 Reserve Banks and eight critical business lines Systemwide: Human Resources, Legal, Shared Administrative Services, Finance, Procurement, Audit, Law Enforcement and Facilities.
The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.
Eligible Locations for Hire: Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA

This Senior Cloud Data Engineer role will be responsible for all aspects of business intelligence structure including analysis of requirements, design, troubleshooting, support and administration of schemas, data definitions, meta data, and architecture of all data analytic models, databases, and repositories used to create, retain, and analyze business intelligence data.

What You Will Do:

  • Responsible for complex data design, database architecture, metadata and repository creations, repository management, construction, and administration
  • Configure database parameters, allocate database resources, and review data loaded into databases for accuracy.
  • Leads trouble shooting database applications, product support, analysis of data requirements, maintenance of application and processing architectures, and database schemas.
  • Establishes integrity of complex data definitions and underlying data models, and monitors/audits overall data quality
  • Leads improvements to increase efficiency of infrastructure and automation processes.
  • Produce complex data analytic models, ad-hoc queries, and reports for distribution to Audit and business management. Performs basic SQL queries for analysis of existing metrics and the development of new metrics.
  • Leads software testing including code-level/unit testing, ETL processes, SQL or reporting tools, code-level unit testing, and script development of moderate complexity.
  • Work and collaborates as a part of an Agile team to develop and implement capabilities to enable decision making processes and procedures including data, reporting, dashboards, metadata collection processes, metric collection processes, resolve data issues, data governance and data clean up and maintenance, data sharing agreement processes, etc.;
  • Develops conceptual, logical, and physical IT engineering designs, that support the infrastructure requirements of varying levels of technical and business application projects.
  • Completes analysis of business requirements, as it relates to technical infrastructure design, and ensure traceability of the design to the business requirements.

Knowledge And Skills:

  • Experience using core Aws services to build and support data solutions leveraging architecture best practices [S3, Glue, Lambda)
  • Expertise in AWS Storage (S3, EBS), AWS Databases (Aurora Postgress,), AWS Data Integration (Glue).
  • Good understanding of AWS Identify and Access management, AWS Networking and AWS Monitoring tools.
  • Proficiency in CI/CD and deployment automation using GITLAB pipeline.
  • Proficiency in Cloud infrastructure provisioning tools e.g., Terraform.
  • Strong technical skill in software engineering for Java EE /Cloud technologies and proficiency in Java Lambdas, Java Streams API, Java functional programming.
  • Proficiency in one or more programming languages e.g., Python, Scala.
  • Knowledge in Workday data tools including Adaptive & Prism desirable, but not required.
  • Knowledge in Ariba desirable, but not required.

Qualifications:

  • 9+ years of relevant work experience
  • Bachelor's or higher degree relevant discipline
  • Certification related to Information Technology preferred.
  • Broad knowledge of programming, SQL queries, data warehouses, relational databases, and quantitative/qualitative data analytic techniques
  • Broad familiarity with analyzing performance measures and metrics and developing balanced scorecards and dashboards.

The salary range for this position is $139,800 - $209,600. The Boston Fed believes in salary transparency. The final salary and offer will be determined by the applicant's background, skills, internal equity, and alignment with market data. Whether you're developing into the job or are a more seasoned candidate, we aim to pay competitively. If you reside outside of the 1st District (Boston), you may be hired by your local Federal Reserve District and compensation will follow hiring District's range and policy.

All employees assigned to this position will be subject to FBI fingerprint/ criminal background and Patriot Act/ Office of Foreign Assets Control (OFAC) watch list checks at least once every five years.The above statements are intended to describe the general nature and level of work required of this position. They are not intended to be an exhaustive list of all duties, responsibilities or skills associated with this position or the personnel so classified. While this job description is intended to be an accurate reflection of this position, management reserves the right to revise this or any job description at its discretion at any time.

The Federal Reserve System is committed to a diverse and inclusive workplace and to provide equal employment opportunities to all persons without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, genetic information, disability, or military service.

All employees assigned to this position will be subject to FBI fingerprint/ criminal background and Patriot Act/ Office of Foreign Assets Control (OFAC) watch list checks at least once every five years.

The above statements are intended to describe the general nature and level of work required of this position. They are not intended to be an exhaustive list of all duties, responsibilities or skills associated with this position or the personnel so classified. While this job description is intended to be an accurate reflection of this position, management reserves the right to revise this or any job description at its discretion at any time.

For this job, any offer of employment is contingent upon successfully passing a two-phase security screening. The first phase consists of the satisfactory completion of a physical examination (including a drug screening), reference checks, and a security investigation consisting of credit and criminal history checks.

The second phase, which might not be complete until after you begin working at the Reserve Bank, is an additional risk-based security screening determined by the risk rating of the position. Depending upon the sensitivity of the position, this phase may include, and is not limited to, work and residency eligibility verification, and personal interviews with the candidate, references, and prior employers.

All applicants must have resided in the United States for at least three (3) years

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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