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Data Engineer Google Jobs in Austin, TX (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Austin, TX · On-site

$124K - $280K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

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 · 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 ...

YETI Canada Limited

Sr. Data Engineer

Austin, TX · On-site

$125 - $150/hr

Optimize data performance of Google Vertex AI engineering and ML pipelines* Partner with business and analytics teams to translate requirements into technical solutions* Enforce data quality ...

SHI

Solutions Engineer - Google Chrome

Austin, TX · On-site

$75K - $125K/yr

Job Summary The Solutions Engineer collaborates with account teams to assess customer data center ... Experience working in Google Chrome, Chrome Enterprise Premium, and Cameyo technologies sales ...

Pwc

GenAI Python Systems Engineer -Senior Manager

Austin, TX · On-site

$124K - $280K/yr

... Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data ...

Eitacies Inc

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

This role requires strong hands-on experience building and operating data pipelines on Google Cloud ... Strong Python programming skills * Production experience with Apache Spark PySpark * Experience ...

Premier Cloud

Customer Engineer, Data & Analytics

Austin, TX · On-site

$113K - $136K/yr

Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize and scale through cloud technology. As a Customer Engineer, Data & Analytics, you will be the technical ...

Apple Inc.

Staff Data Engineer

Austin, TX · On-site

$200 - $250/hr

Description We are looking for a Staff Data Engineer to lead the data engineering and data ... Experience with Cloud Computing platforms like Amazon AWS, Google Cloud * Experience with building ...

YETI Coolers LLC

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Optimize data performance of Google Vertex AI engineering and ML pipelines * Partner with business and analytics teams to translate requirements into technical solutions * Enforce data quality ...

YETI Coolers LLC

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Optimize data performance of Google Vertex AI engineering and ML pipelines * Partner with business and analytics teams to translate requirements into technical solutions * Enforce data quality ...

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All JobsData Engineer Google JobsData Engineer Google Jobs in Austin, TX

Data Engineer Google information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do data engineer google jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer google in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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.

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 Austin, TX?

For Data Engineer Google jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer Google jobs in Austin, TX look for?

The top searched job categories for Data Engineer Google jobs in Austin, TX are:

What cities near Austin, TX are hiring for Data Engineer Google jobs?

Cities near Austin, TX with the most Data Engineer Google job openings:

Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Google Cloud Platform Data Engineer

Rivago infotech inc

Manor, TX • On-site

$123K - $148K/yr

Other

Posted 7 days ago

Job description


Role: Senior Google Cloud Platform Data Engineer (ML & Fraud Analytics Data Platform)

Location: Austin TX (100% Onsite)

Duration: Long term Project

Cloud Platform: Google Cloud Platform

Skills Required: Google Cloud Platform, BigQuery, Python, Dataflow, Composer/Airflow, Google Cloud Storage (GCS)

 

Key Responsibilities & Skills

·        Design, develop, and maintain scalable ETL/data pipelines on Google Cloud Platform using Python, Dataflow, BigQuery, Cloud Storage, Composer/Airflow, and Control-M to support fraud analytics, ML, and enterprise data initiatives.

·        Build and optimize ML-ready datasets, feature engineering pipelines, and reusable data assets for model training, validation, and production deployment.

·        Develop high-quality Python solutions following coding standards, security best practices, resiliency, reliability, and performance optimization principles.

·        Strong expertise in SQL, BigQuery/PostgreSQL, data modelling, database concepts, and large-scale data processing.

·        Implement data quality, reconciliation, lineage, metadata management, governance, and monitoring controls to ensure trusted and auditable data pipelines.

·        Design and support CI/CD-enabled data engineering platforms, automated deployments, and integration with enterprise data ecosystems including Dataiku, Neo4j, REST APIs, and cloud-native services.

·        Collaborate with Data Scientists and ML Engineers to support feature availability, data access, pipeline orchestration, integration testing, and ML operationalization.

·        Strong analytical, problem-solving, and troubleshooting skills; exposure to GenAI use cases and MLOps ecosystems is a plus.

 

Preferred Experience

·        Overall 10+ years of experience 

·        5+ years on Google Cloud Platform Data Engineering

·        5+ years with Python/Dataflow-based ETL development

·        3+ years with Composer/Airflow, BigQuery/PostgreSQL, and Google Cloud Storage

·        Experience supporting fraud detection, risk analytics, or ML data platforms preferred.

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