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

Pwc

Data Engineer - Senior Manager

Dallas, TX

$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 - Senior Associate

Fort Worth, 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

Fort Worth, TX

$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 - Senior Associate

Dallas, 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 ...

Photon

Data Architect _US

Dallas, TX · On-site

$63 - $81/hr

Google Professional Data Engineer * Google Cloud Architect * Google Cloud Engineer Compensation ... Benefits and Duration Minimum Compensation: USD 52,000 Maximum Compensation: USD 182,000 ...

Photon

Data Architect _US

Dallas, TX · On-site

$63 - $81/hr

Google Professional Data Engineer * Google Cloud Architect * Google Cloud Engineer Compensation ... Benefits and Duration Minimum Compensation: USD 52,000 Maximum Compensation: USD 182,000 ...

Pwc

Data Engineer - Manager

Dallas, 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 ...

Pwc

Data Engineer - Manager

Fort Worth, 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 ...

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 ...

Synergie Systems

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... or Google Cloud. · Document data pipelines, processes, database structures, and technical ... Engineering, Mathematics, or a related field, or equivalent practical experience. · 0-2 years of ...

New

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.

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

$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 ...

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

Data Engineer Google information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do data engineer google jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineer google in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 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 Dallas, TX?

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

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

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

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

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

Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Data Architect (Google Cloud Platform & OCI)

Cloud Destinations LLC

Dallas, TX • On-site

$63.25 - $81.50/hr

Other

Posted 2 days ago

New

Job description

We are seeking for a highly skilled and experienced Data Tech Team Lead with deep technical expertise in Google Cloud Platform, also known as Google Cloud Platform, and Oracle Cloud Infrastructure, also known as OCI. In this role, you will serve as the technical lead for a modern data platform team, helping drive the design, development, and operational support of enterprise scale data pipelines, data warehouses, and analytics environments.
The ideal candidate will have a strong software engineering and data engineering background, with experience supporting complex data movement between Google Cloud Platform and OCI, optimizing analytical queries, and enabling downstream Business Intelligence, also known as BI, and Data Science use cases.
Responsibilities:
  • Architect, implement, and maintain scalable data lakes, lakehouses, and data warehousing strategies across Google Cloud Platform and OCI.
  • Design resilient and low latency Extract, Transform, Load and Extract, Load, Transform pipelines to ingest, clean, and transform data from diverse transactional, operational, and business systems.
  • Lead, mentor, and support a team of data engineers, analytics engineers, and database developers.
  • Establish code quality standards and conduct architecture reviews to support reliable and scalable data solutions.
  • Partner with application, Data Science, merchandising, and supply chain technology teams to ensure the data platform delivers clean, timely, and actionable insights.
  • Support pipeline orchestration and platform operations for enterprise data environments.
  • Implement automated data testing, anomaly detection, and data lineage tracking to support trust in enterprise reporting.
  • Optimize database, warehouse, and query performance, including approaches such as BigQuery partitioning, BigQuery clustering, and OCI Autonomous Data Warehouse indexing.
  • Enforce data governance, access control policies, row and column level security, and cataloging practices to support audits and data discovery.
  • Monitor and optimize storage and compute costs associated with large scale query activity, including BigQuery slots, Serverless Dataproc, OCI Compute, and storage layers.
Qualifications:
  • Eight or more years of experience in data engineering, data warehousing, or software engineering.
  • Three or more years of experience leading engineering teams.
  • Strong hands on experience with Google Cloud Platform data and analytics services, including BigQuery, Dataproc, cloud functions, cloud runners, Cloud Storage, and Pub and Sub.
  • Experience with OCI data infrastructure, including Autonomous Data Warehouse, OCI GoldenGate, Oracle Integration Cloud, and Oracle Database Cloud Services.
  • Advanced SQL and Python experience for building robust data extraction and transformation logic.
  • Experience with CI/CD pipelines, including GitLab CI.
  • Experience supporting business intelligence, analytics, or data science use cases.
  • Strong communication and collaboration skills with the ability to work across technical and business teams.
Tools and Technologies:
  • Google Cloud Platform
  • Oracle Cloud Infrastructure
  • BigQuery
  • Dataproc
  • Cloud Functions
  • Cloud Storage
  • Pub and Sub
  • OCI Autonomous Data Warehouse
  • OCI GoldenGate
  • Oracle Integration Cloud
  • Oracle Database Cloud Services
  • SQL
  • Python
  • GitLab CI
  • Google Cloud Platform Vertex AI
  • Data lakes
  • Lakehouses
  • Data warehouses
  • Data lineage tools and practices
  • Data quality and observability practices

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