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

General Information

Boston, MA ยท On-site

$73 - $97.75/hr

Google Cloud Professional Data Engineer or Professional Cloud Architect certification. * Consulting or enterprise transformation experience leading cloud modernization initiatives. Key Skills GCP โ€ข ...

The Data Engineering team at CarGurus is looking for a Manager of Data Platform & Operations ... Experience working with a cloud data warehouse (e.g., Snowflake, Amazon Redshift, Google BigQuery ...

We bridge the gap between complex cloud data platforms like Snowflake, Databricks, and Google ... Partner with engineering and architecture to keep modeling constructs, metrics definitions, and ...

Data Scientist

Boston, MA ยท Hybrid

$123K - $129K/yr

Involved in data engineering and data cleansing techniques to ensure data quality using Google Cloud platform and SQL techniques. Build new models and apply advanced analytics using machine learning ...

Data Scientist

Boston, MA ยท On-site

$123K - $129K/yr

Involved in data engineering and data cleansing techniques to ensure data quality using Google Cloud platform and SQL techniques. Build new models and apply advanced analytics using machine learning ...

... engineering experience and knowledge of Google SecOps, threat detection engineering, SIEM, SOAR ... Leading end-to-end deployment of log ingestion pipelines using data fabric technologies and ...

Manager, Data Platform Engineering

Boston, MA ยท On-site

$160K - $201K/yr

We started as a small team of developers determined to bring trust and transparency to car shopping ... Experience working with a cloud data warehouse (e.g., Snowflake, Amazon Redshift, Google BigQuery ...

Showing results 41-60

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 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:
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.

Junior Machine Learning Engineer/Data Scientist/Data analyst-remote

SynergisticIT

Boston, MA โ€ข On-site

Other

Posted 7 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Donโ€™t Need Luck โ€” You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, itโ€™s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. Youโ€™ll work on highโ€‘demand technologies, build realโ€‘world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You donโ€™t need luck โ€” you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or youโ€™re about to) and the job search is already feeling confusing, youโ€™re not imagining it. A degree proves you can learnโ€”but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. Thatโ€™s why many new grads send hundreds of applications and still hear nothing back. Itโ€™s not because youโ€™re โ€œnot smart enough.โ€ Itโ€™s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AIโ€”full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AIโ€”so you donโ€™t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95kโ€“$154k range depending on role and skill depth. For a new grad, the bigger message isnโ€™t the numberโ€”itโ€™s that results require a structured pathway, not random applications. Hereโ€™s a realistic way to think about your advantage as a fresh graduate: youโ€™re early enough to build the right foundation before bad habits set in. If you master fundamentalsโ€”coding, debugging, data structures, system thinkingโ€”and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of โ€œentry-levelโ€ candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates arenโ€™t โ€œtool collectorsโ€โ€”theyโ€™re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuckโ€” Fresh grads often struggle for four predictable reasons: Resume doesnโ€™t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says โ€œyes.โ€ Who this path fits best If youโ€™re a recent graduate, youโ€™ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelorโ€™s or Masterโ€™s programs who need a real hiring plan Candidates who apply consistently but donโ€™t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If youโ€™re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills โ†’ portfolio โ†’ interview readiness โ†’ targeted applications โ†’ scheduled interviews โ†’ offer. please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you donโ€™t need โ€œmore random courses.โ€ You need a guided, job-focused path and the right people around you. In tech, itโ€™s not just what you learnโ€”itโ€™s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume