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Data Engineer Google Jobs in Boston, MA (NOW HIRING)

American Tower

Principal, Data Engineer

Woburn, MA · On-site

$170K - $213K/yr

The Team We are seeking a Principal Data Engineer to join American Tower's Information Technology ... Deep experience with major cloud platforms such as Amazon Web Services, Microsoft Azure, or Google ...

TetraScience

Senior Scientific Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

... Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review ... As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions ...

MFS

DBT Investment Lead Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

... Lead Data Engineer contributes to a long-term strategic initiative to unify and harmonize our ... Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS ...

TetraScience

Senior Scientific Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

... Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review ... As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions ...

TetraScience

Senior Scientific Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

... Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review ... As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions ...

IQVIA

Senior Data Engineer,Digital

Boston, MA · Remote

$91K - $228K/yr

As a Senior Data Engineer, you'll lead the design of scalable data solutions, mentor talented ... Google Cloud and AWS preferred; Azure acceptable. * Strong understanding of data warehousing ...

New

Pwc

Data Strategy-Manager

Boston, MA · On-site

$99K - $232K/yr

... Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger ...

Pwc

Data Governance- Manager

Boston, MA · On-site

$99K - $232K/yr

... Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger ...

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Showing results 21-40

All JobsData Engineer Google JobsData Engineer Google Jobs in Boston, MA

Data Engineer Google information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do data engineer google jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer google in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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.

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 Boston, MA? For Data Engineer Google jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Google jobs in Boston, MA look for? The top searched job categories for Data Engineer Google jobs in Boston, MA are:
Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Principal, Data Engineer

American Tower

Woburn, MA • On-site

$170K - $213K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday

American Tower rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

52nd of 97 rated telecommunications companies

Job description


The Team
We are seeking a Principal Data Engineer to join American Tower's Information Technology organization's Data & Analytics team. The team architects, builds, and optimizes cloud-native data foundations that enable analytics, artificial intelligence ("AI"), and enterprise-scale data products.
Day to day you will design and evolve the enterprise data platform, lead complex solution design, and embed governance enforcement through technical controls. As a Principal Data Engineer, you will set engineering standards, mentor engineers, and collaborate extensively with decentralized analytics teams across the Global Operations, Finance, and Sales departments to accelerate value delivery.
Responsibilities
What You Can Offer Us
  • Architect and evolve the enterprise data platform including ingestion, transformation, storage, orchestration, and serving layers for batch and streaming use cases.
  • Design and implement end-to-end data pipelines, reusable frameworks, and enterprise data models (dimensional, data vault, domain-oriented) to power analytics, AI, and operational use cases.
  • Define and operationalize the semantic data layer and embed governance enforcement through technical controls (data quality, validation, lineage, metadata, access).
  • Establish engineering standards for coding, testing, version control, documentation, and continuous integration/continuous delivery ("CI/CD"); optimize cost, performance, and scalability using FinOps principles.
  • Lead design reviews, root cause analyses, and incident responses; partner with the Data Science team to productionize models and enable real-time/batch inference.
  • Collaborate with Data Products, IT, security, and architecture teams to deliver secure, resilient, and compliant data products with strong service level agreements.
  • Evaluate emerging technologies, guide build-versus-buy decisions, and mentor engineers through code reviews, technical talks, and best practices.
  • Engage decentralized analytics teams to share standards and reusable components while avoiding duplication of efforts.
  • Other duties as assigned.

Qualifications
What You Need to Succeed
  • Bachelor's degree required, with a concentration in Computer Science, Statistics, Applied Mathematics, or a related quantitative field preferred.
  • Master's degree in a related field preferred.
  • A minimum of 8 years of data engineering or data platform development experience with at least 5 years as a senior or principal-level technical leader required.
  • Expert-level proficiency in Structured Query Language, Python programming language, and large-scale processing with Apache Spark or PySpark.
  • Deep experience with major cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and with modern data platforms such as Databricks or Snowflake.
  • Strong understanding of streaming technologies such as Apache Kafka or Amazon Kinesis, orchestration tools such as Apache Airflow, and transformation frameworks such as Data Build Tool.
  • Mastery of data modeling, semantic modeling, and performance tuning across data warehouse, lakehouse, and streaming architectures.
  • Ability to implement technical governance (data quality, lineage, metadata, access management, and privacy controls) and establish engineering standards (CI/CD, infrastructure as code, and automated testing).
  • Ability to lead complex technical design, influence without authority, and mentor engineers to raise the technical bar.
  • Strong written and oral communication skills, including the ability to present ideas and suggestions clearly and effectively.
  • Ability to work with different functional groups and levels of employees to effectively and professionally achieve results.
  • Strong organizational skills; ability to accomplish multiple tasks within the agreed-upon timeframes through effective prioritization of duties and functions in a fast-paced environment.

About Us
American Tower is a global digital infrastructure company serving customers through tower sites and other real estate solutions that support connectivity and opportunity, focused on achieving our vision of Building a More Connected World. Our success is rooted in the potential of our people and the power of local teams at our offices and sites across 25 countries.
We are one of the largest global Real Estate Investment Trusts (REITs) and a publicly traded (NYSE:AMT), Fortune 500 Company headquartered in Boston, Massachusetts. The next decade will be an exciting time as we evolve our infrastructure to meet tomorrow's needs and position our people to elevate their impact, their potential, and our shared success. Come grow your career with us!
For more information about how American Tower is building a more connected world, visit americantower.com
American Tower is proud to be an equal opportunity employer and will not discriminate against an applicant or employee based on age, sex, sexual orientation, gender identity, race, color, creed, religion, national origin or ancestry, citizenship, marital status, familial status, disability, military or veteran status, genetic information, pregnancy, reproductive decisions, or any other characteristic protected under applicable law.
American Tower is committed to fair and equitable compensation practices. Placement within the salary range is based on a variety of factors, including relevant experience, skills, certifications, job level, and location. For U.S.-based candidates only, please see the base salary range for this position listed below. This position is also eligible for annual bonus, and annual equity award and participation in the Employee Stock Purchase Plan (ESPP). For candidates outside of the U.S., salary and benefits are based upon local market practice.
American Tower also offers a comprehensive benefits package, which includes healthcare coverage, a 401(k) savings plan, paid time off, company holidays, sick leave, parental leave, and access to an Employee Assistance Program focused on mental and financial wellness, please click here to learn more.

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