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

Pwc

Data Engineer - Senior Associate

Austin, TX

$77K - $202K/yr

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

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 ...

Pwc

Data Engineer - Manager

Austin, TX

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

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 ...

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 ...

The 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

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Location: Austin,TX/ Sunnyvale, CA We are seeking an experienced Data Engineer with ... Ora2Pg, AWS SCT, AWS DMS, EDB Postgres Migration Toolkit, Google DMS, or equivalent. * Solid ...

YETI Coolers LLC

Sr. Data Engineer

Austin, TX

$113K - $136K/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

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/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 ...

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 ...

EITACIES Inc.

Sr GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

This position involves building and operating data pipelines on Google Cloud Platform, focusing on ... Required : • 6+ years of data engineering experience • Strong Python programming skills • ...

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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 Aug 7, 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.

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 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, 82% Full Time, 13% Part Time, and 4% 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.

Network Engineer, Google Global Infrastructure

Google

Austin, TX • On-site

Full-time

Posted 28 days ago

Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 3 years of experience with network routing protocols, design, and troubleshooting with network equipment providers.
  • 3 years of experience with MPLS VPN, routing protocols, Ethernet switching, or configuring enterprise-class routers, switches, firewalls, and access points.
  • 3 years of experience using one or more programming languages (e.g., C , Go, or Python).

Preferred qualifications:
  • Networking certifications: JNCIE, CCIE.
  • Experience with network platforms.
  • Experience with SDN technologies.
  • Knowledge of TCP/IP fundamentals and commonly-used routing protocols (e.g., OSPF, BGP, MPLS).

About the job
Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services. Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google's data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $126000 - $181000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Manage escalated trouble calls and work closely with engineering, field technicians, and telecommunications carriers to resolve service issues. Validate problem descriptions and perform detailed problem diagnosis; track and update problems in trouble-ticketing systems.
  • Perform scheduled configuration changes to network switches and routers, firewalls and wireless devices. Identify network issues and determine and recommend appropriate solutions.
  • Participate in a rotating "on call" schedule with other members of the team including weekends.
  • Provide quality documentation and deliver presentations about network issues, updates, troubleshooting techniques and network analysis etc.
  • Execute deliverables on Operations/Engineering projects such as new product introduction (NPI), software qualifications, and coding/automation for operations.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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