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

Lead Data Engineer

Plano, TX

$109K - $131K/yr

Lead Data Engineer EPTech's Enterprise Consumer Products team transforms customer experiences, and ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

We are seeking a skilled GCP Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate will have strong experience ...

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer EPTech's Enterprise Consumer Products team transforms customer experiences, and ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Plano, TX

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Senior Data Engineer

Southlake, TX · On-site

$160K - $175K/yr

As a Senior Data Engineer within the Sales & Service Data Engineering organization, you will play a ... Advanced experience with Snowflake, Python, Microsoft SQL Server, Informatica IDMC, Google Cloud ...

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

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

IAM Data Engineer

Irving, TX · Hybrid

$106K - $127K/yr

Google Cloud Platform (4 - 6 Years) * Pyspark (4 - 6 Years) * Strong understanding of Google Cloud architecture, including bucket structuring, naming standards, lifecycle management policies, and ...

New

Lead Data Engineer

Plano, TX

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

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

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

Senior Data Engineer

Southlake, TX · On-site

$99K - $135K/yr

As a Senior Data Engineer within the Sales & Service Data Engineering organization, you will play a ... Advanced experience with Snowflake, Python, Microsoft SQL Server, Informatica IDMC, Google Cloud ...

Showing results 21-40

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 Sep 4, 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.

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:

Infographic showing various Data Engineer Google job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

$109K - $131K/yr

Full-time

Re-posted 28 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

88th of 174 rated banks


Job description

Lead Data Engineer

EPTech's Enterprise Consumer Products team transforms customer experiences, and the platforms that enable them, at the optimal time through the preferred channel, to empower 100+ million customers on their financial journeys and beyond.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You'll Do:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

  • Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in application development (Internship experience does not apply)

  • At least 2 years of experience in big data technologies

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • 7+ years of experience in application development including Python, SQL, Scala, or Java

  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

  • 4+ year experience working on real-time data and streaming applications

  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)

  • 4+ years of data warehousing experience (Redshift or Snowflake)

  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting

  • 2+ years of experience with Agile engineering practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL: $179,400 - $204,700 for Lead Data Engineer


McLean, VA: $197,300 - $225,100 for Lead Data Engineer


Plano, TX: $179,400 - $204,700 for Lead Data Engineer









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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