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Data Engineer Google Jobs in Texas (NOW HIRING)

Blue Learning

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

Work across both SQL Server and Google BigQuery , managing data structures and optimizing queries ... Experience: 1-3 years in data engineering, analytics engineering, or a data-heavy technical role.

Avani Technology Solutions, Inc.

GCP Data Engineer

Dallas, TX · On-site

$107K - $129K/yr

Perform ETL and data engineering work by leveraging multiple google cloud components using Cloud Dataflow, Cloud Data Proc, Google BigQuery * Knowledge on Data Modelling and reporting using Google ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross ... You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow, Cloud Composer ...

IntraEdge

GCP Data Engineer

Austin, TX

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross ... You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow, Cloud Composer ...

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX Contract Length: 12+ Months Pay: 80-90 per hr on W2 Job ref ... Strong experience with AWS, Azure, or Google Cloud Platform * Experience with distributed data ...

1 point system

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Client is seeking a Data Engineer with hands-on experience building Data Lake in Google Cloud Platform using big data tools and technologies. * Experience with Hadoop/HDFS is highly desirable.

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its ... Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ...

Anveta Inc

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 ...

Tek Ninjas

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

* Design and implement data pipelines on Google Cloud Platform to support data processing and ... Stay up-to-date on the latest trends and best practices in data engineering on Google Cloud ...

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions. The ideal candidate will have hands-on expertise with ...

ELEVATE AVIATION GROUP LLC

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Description Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software ... Familiarity with cloud platforms AWS, Google Cloud, and/or Azure for data infrastructure and ...

Abode TechZone, LLC

GCP Data Engineer

Irving, TX · On-site

$106K - $127K/yr

Abode TechZone, LLC is seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform services. The ideal candidate will be responsible for designing, developing, and ...

Elevate Jet

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software Engineering ... Familiarity with cloud platforms AWS, Google Cloud, and/or Azure for data infrastructure and ...

Upbound

Data Engineer IV

Plano, TX

$107K - $128K/yr

Data Engineer IV JOB PURPOSE The Data Engineer IV is responsible for designing, developing, and ... Knowledge of cloud platforms including AWS, Azure, and Google Cloud Platform. * Experience with ...

Elevate Aviation Group LLC

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Job Type Full-time Description Job Title- Data Engineer Department- Systems & Technology Reports to ... Familiarity with cloud platforms AWS, Google Cloud, and/or Azure for data infrastructure and ...

University of Texas at Austin

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

Data Engineer I ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Configure cloud-based storage and compute environments across AWS, Azure, and Google Cloud Platform

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Showing results 21-40

All JobsData Engineer Google JobsData Engineer Google Jobs in Texas

Data Engineer Google information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer google jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer google in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What does a data engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do data engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What are the key skills and qualifications needed to thrive as a data engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

Does Google hire data engineers?

Yes, Google hires data engineers to develop and maintain data pipelines, manage large-scale data systems, and support data-driven decision-making. Candidates typically need strong skills in SQL, Python, or Java, along with experience with cloud platforms like Google Cloud Platform (GCP).

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar roles in cloud data engineering

Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

What are popular job titles related to Data Engineer Google jobs in Texas? For Data Engineer Google jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Engineer Google jobs in Texas look for? The top searched job categories for Data Engineer Google jobs in Texas are:
What cities in Texas are hiring for Data Engineer Google jobs? Cities in Texas with the most Data Engineer Google job openings:
Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Data Engineer

Blue Learning

Lewisville, TX • On-site

$75K - $93K/yr

Full-time

Re-posted 21 days ago

Job description

Description:

We are looking for a motivated Data Engineer to join our growing data team. This role is ideal for a beginner-to-intermediate professional who is excited to help build, maintain, and optimize modern data pipelines, ensuring the organization has access to clean, reliable data. You will work closely with relational databases, cloud data warehouses, and modern orchestration tools while supporting analytics initiatives across the company. This is a fantastic opportunity to level up your career using a modern data stack (Python, dbt, Dagster, BigQuery) while enjoying a high degree of autonomy.

Requirements:

Core Responsibilities

  • Pipeline Development: Design, build, and optimize robust ETL/ELT data pipelines to ingest data from legacy ODBC databases and modern third-party APIs.
  • Data Transformation: Write clean, optimized SQL and utilize DBT to transform raw data into production-ready models.
  • Orchestration: Use Dagster to schedule, monitor, and manage workflows, ensuring errors are caught early.
  • Database Management: Work across both SQL Server and Google BigQuery, managing data structures and optimizing queries.
  • Data Quality & Governance: Support data validation, troubleshooting efforts, and documentation of data governance best practices.
  • Stakeholder Support: Collaborate with analytics teams to deliver clean datasets for reporting and support dashboard initiatives in Tableau or other BI Tools as required.
  • Other duties as required.
Required Skills & Qualifications
  • Experience: 1–3 years in data engineering, analytics engineering, or a data-heavy technical role.
  • Strong SQL Skills: Proficiency in writing, debugging, and optimizing complex queries and stored procedures.
  • Python Proficiency: Ability to write clean Python scripts for data manipulation, automation, and interacting with APIs.
  • ETL/ELT Concepts: Solid understanding of data pipeline development and API/ODBC integrations.
  • Technical Troubleshooting: Proven ability to troubleshoot data issues and work independently.
Preferred Qualifications & Nice-to-Haves
  • Modern Data Stack: Familiarity with dbt (data build tool) and Dagster (or similar tools like Airflow).
  • Google Cloud Platform (GCP): Familiarity with BigQuery, Google Cloud Storage (Buckets), and Google Drive integrations.
  • Data Visualization: Experience with Tableau or similar BI tools to understand downstream data consumption.
  • Version Control: Basic experience with Git/GitHub.
  • Agile Mindset: Experience working in fast-paced environments with an interest in automation and process improvement.
  • Agentic agent development knowledge is a plus.