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Data Engineer Google Jobs in New York (NOW HIRING)

Theguarantors

Data Engineer

New York, NY · On-site

$115K - $130K/yr

The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ... Knowledge of data warehousing concepts and technologies (e.g., Snowflake, AWS Redshift, Google ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

HyrUS Inc.

Azure and Google Cloud Engineer

Manhattan, NY · On-site

$61.50 - $82.25/hr

Position Overview We are seeking an experienced Azure & Google Cloud Engineer (Contractor) to support cloud infrastructure, application modernization, data integration, and platform operations across ...

hyrusinc

Azure and Google Cloud Engineer

New York, NY · On-site

$61 - $81.50/hr

Position Overview We are seeking an experienced Azure & Google Cloud Engineer (Contractor) to support cloud infrastructure, application modernization, data integration, and platform operations across ...

Mondo

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration ... Google Cloud, BigQuery) is a plus. o Prior experience with dbt and Air Flow is preferred. o ...

Omnicom

Data Engineer

New York, NY · Hybrid

$125K - $150K/yr

As a Data Engineer, you will have the opportunity to contribute to end-to-end platform design for ... in Google Campaign Manager, Xandr, or Adobe Analytics datasets is a plus Experience with Google ...

Omnicom

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineer, you will have the opportunity to contribute to end-to-end platform design for ... in Google Campaign Manager, Xandr, or Adobe Analytics datasets is a plus Experience with Google ...

Stefanini Group

Data Engineer

East Hanover, NJ · On-site

$40/hr

Databricks, Google Cloud Dataproc, etc. * Experience with CI/CD, DevOps, and DataOps techniques. * Experience with ETL, Data pipelines and architecture * Technical Documentation * Experience in data ...

Redolent, Inc.

Sr. Data Engineer

Bethpage, NY · On-site

$117K - $140K/yr

Data Engineer Location: Bethpage, NY Key Responsibilities: • Data Pipeline Design and ... Strong knowledge of Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Cloud ...

AEG

Data Engineer

White Plains, NY · On-site

$118K - $142K/yr

Data Engineer Reports to: VP, Data & Business Intelligence Location: White Plains, NY (Hybrid ... Hands-on experience with Google Cloud Platform, especially BigQuery (familiarity with Cloud Run ...

SHI

Solutions Engineer - Google Chrome

Somerset, NJ · 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 ...

Optimum

Intern - Data Engineer

Long Island City, NY

$35/hr

Google BigQuery, Snowflake, Databricks) to support data processing and reporting needs. * Write SQL ... Intermediate SQL programming skills, including working with relational databases, data manipulation ...

Optimum

Intern - Data Engineer

Long Island City, NY · On-site

$35/hr

Google BigQuery, Snowflake, Databricks) to support data processing and reporting needs. * Write SQL ... Intermediate SQL programming skills, including working with relational databases, data manipulation ...

CLPS Global

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Role - AI Data Engineer Location - NYC, NY - Hybrid FTE No openings - 2 Required 9+ Years of ... Experience with AWS, Azure, or Google Cloud Platform. * Experience with Docker and Kubernetes.

Capital One

Lead Data Engineer

New York, NY · On-site

$125K - $150K/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 ...

Capital One

Lead Data Engineer

New York, NY · On-site

$125K - $150K/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 ...

Capital One

Lead Data Engineer

New York, NY · On-site

$125K - $150K/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 ...

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Showing results 21-40

All JobsData Engineer Google JobsData Engineer Google Jobs in New York

Data Engineer Google information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do data engineer google jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer google in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 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 New York?

For Data Engineer Google jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Engineer Google jobs in New York look for?

The top searched job categories for Data Engineer Google jobs in New York are:

What cities in New York are hiring for Data Engineer Google jobs?

Cities in New York with the most Data Engineer Google job openings:

Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Data Engineer

Theguarantors

New York, NY • On-site

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

TheGuarantors is a fintech company helping multifamily owners and operators mitigate leasing risk while expanding access for renters. With a deep understanding of owner, operator, and renter needs, we believe renters deserve better access to the home of their choice and operators deserve greater protection and growth opportunities. That's why we're leveraging our real estate expertise and using AI-driven renter underwriting to help operators qualify renters faster while mitigating the financial risk of renter default. With $7B+ in lease value protected, we work with 9 of the country's top 10 operators, are the #1 lease guarantee provider nationwide, and have consistently been named one of Inc. 5000's fastest-growing companies, Forbes' Best Startup Employers, Deloitte's Technology Fast 500.
The Role
As a Data Engineer at theGuarantors, you will play a vital role in the development, deployment and maintenance of our data infrastructure. You will work within our data engineering team to build, optimize, and maintain data pipelines, ensuring the availability and reliability of data for analytical and business purposes. You will help to execute on processes that leverage intelligence capabilities through advanced analysis of data sets, and that bring data and insights closer to the end user. This is an excellent opportunity for someone who is enthusiastic about data and eager to learn and grow in the field of data engineering.
Location
This will be a hybrid role based in NYC.
What You'll Do
  • Data Ingestion and ETL/ELT: Assist in designing and implementing data pipelines to collect, ingest, and transform data from various sources into a structured format.
  • Data Quality: Collaborate with the team to monitor and maintain data quality standards, perform data validation, and resolve data quality issues.
  • Data Warehousing: Assist in the design and maintenance of data warehousing solutions to store and manage large volumes of data efficiently.
  • Automation and Orchestration: Work on automating routine data engineering tasks to improve efficiency and reliability.
  • Data Apps: Develop and maintain lightweight data applications for ML interfaces, simple CRUD operations, and quick interactive analysis.
  • Performance Optimization: Identify and implement optimizations to all parts of the data stack to improve data pipeline performance and reduce processing times.
  • Documentation: Create and maintain documentation for data pipelines, processes, and data flows.
  • Collaboration: Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders to understand data requirements and deliver data solutions.
  • Continuous Learning: Stay up to date with industry best practices and emerging technologies in data engineering.
  • Modeling Support: Curate and maintain data sets and pipelines that are crucial to core operational data models, to our feature store and to other AI/ML workflows.

What You'll Bring
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Demonstrated application of SQL and Python scripting skills.
  • Basic understanding of data modeling concepts.
  • Proficiency in using data integration and ETL tools (e.g., Stitch/Talend, Airbyte, Fivetran, etc).
  • Knowledge of data warehousing concepts and technologies (e.g., Snowflake, AWS Redshift, Google BigQuery, etc).
  • Experience with AI-integrated development (tools such as Cursor, Claude Code, Github Copilot or similar).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork skills.
  • Ability to work in a fast-paced, collaborative environment.
  • Eagerness to learn and adapt to new technologies and tools.

Nice To Have
  • Master's degree in Computer Science, Information Technology, or a related field.
  • 1+ years of experience working for a small- to medium-sized technology company as a data engineer or similar role.
  • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of data orchestration and workflow management tools (e.g., Dagster, Airflow).
  • Familiarity with data governance and security best practices.
  • Previous internship or coursework related to data engineering.

Benefits
  • Opportunities to make an impact within a fast growing company
  • Medical, dental, & vision insurance, beginning day one
  • Health savings account with employer contribution
  • Flexible spending accounts (healthcare, dependent care, commuter)
  • 401(k)
  • Generous PTO and paid holidays
  • In-office lunch perk
  • Flexible working hours
  • Paid parental leave
  • Company sponsored short and long term disability

Base Salary
The base salary range is between $115,000 - $130,000 annually.
Base salary does not include other forms of compensation or benefits. Final offer amounts are determined by multiple factors, including prior experience, expertise, location and current market data and may vary from the range above.
TheGuarantors is an Equal Opportunity Employer. We celebrate diversity and are committed to an inclusive environment for all.

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