Cloud Data Engineer Jobs in Massachusetts
Cloud Data Engineer jobs in Massachusetts are among the most actively recruited technology roles in the state, with demand concentrated in life sciences, financial services, healthcare, and enterprise software from entry-level positions through staff and principal engineer. Boston, Cambridge, and Waltham are the primary hiring centers, where employers such as Biogen, Liberty Mutual, and Fidelity Investments maintain significant data engineering teams. The most sought-after specializations in Massachusetts listings include cloud pipeline architecture, real-time data streaming, and analytics infrastructure on AWS and Azure. Find a role that fits below and apply directly.
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Showing 5 of 6+ Cloud Data Engineer jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of quota-carrying enterprise sales experience.
- Experience building business cases through workshops or product demos to business executives.
- Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
- Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Preferred qualifications:
- Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
- Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
- Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization.
You are a master of value-selling. You will engage with line-of-business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP.
You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deliver against quota and achieve or exceed strategic business and growth goals. Drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
- Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern Data & AI capabilities to quantified business outcomes.
- Align cross-functionally with FSRs and Partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
- Be able to whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of quota-carrying enterprise sales experience.
- Experience building business cases through workshops or product demos to business executives.
- Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
- Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Preferred qualifications:
- Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
- Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
- Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization.
You are a master of value-selling. You will engage with line-of-business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP.
You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deliver against quota and achieve or exceed strategic business and growth goals. Drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
- Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern Data & AI capabilities to quantified business outcomes.
- Align cross-functionally with FSRs and Partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
- Be able to whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
See All 6 Cloud Data Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Cloud Data Engineer JobsCloud Data Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Cloud Data Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
What Massachusetts Employers Look For
The qualifications that appear most often in cloud data engineer jobs across Massachusetts.
- Bachelor's degree in computer science, data engineering, or a related technical field
- Proficiency with at least one major cloud platform such as AWS, Azure, or Google Cloud
- Experience building and maintaining data pipelines using tools like Apache Spark or Kafka
- Hands-on skill with SQL and at least one scripting language, typically Python
- Familiarity with data warehousing solutions such as Snowflake, Redshift, or BigQuery
- Understanding of CI/CD practices and infrastructure-as-code tools such as Terraform
Cloud Data Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a cloud data engineer in Massachusetts?
Cloud data engineering in Massachusetts has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most Massachusetts employers expect a bachelor's degree in computer science, information systems, or a related field, though strong candidates from bootcamps or self-study programs are hired at smaller firms. Building a portfolio of pipeline and cloud infrastructure projects, earning a vendor cloud certification, and targeting the state's life sciences or financial services sectors gives candidates a clear competitive edge.
How much do cloud data engineers make in Massachusetts?
Cloud data engineers in Massachusetts earn a median of about $161,650 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $123,670 for the lowest 10% to over $220,910 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire cloud data engineers in Massachusetts?
Employers hiring cloud data engineers in Massachusetts right now include Anduril, Google, and Teradyne, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of healthcare and biotech companies alongside large financial institutions means hiring tends to be consistent year-round rather than seasonal.
Which Massachusetts cities have the most cloud data engineer jobs?
Boston, Cambridge, and North Reading post the most cloud data engineer openings in Massachusetts. Boston and Cambridge anchor the market because of their dense concentration of technology firms, major hospital systems, and biotech campuses, while Waltham and Burlington draw hiring from the Route 128 corridor, where established technology and financial services companies have maintained offices for decades.
Are there remote cloud data engineer jobs in Massachusetts?
Yes, and more than most fields. Cloud data engineering is largely software and infrastructure work that transfers well to remote settings, so a meaningful share of openings allow off-site work. About 100% of cloud data engineer openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting broader technology industry norms. Pipeline development and cloud architecture tasks are the most frequently offered in fully remote arrangements, while on-call infrastructure support roles lean toward hybrid.
How can I get hired as a cloud data engineer in Massachusetts with little or no experience?
The most realistic entry path is landing a data analyst or junior data engineer role and building cloud infrastructure experience on the job. Massachusetts employers in biotech and financial services, including companies along the Route 128 corridor, regularly hire associate or junior data engineers and provide structured onboarding for new graduates. Pursuing an AWS or Azure fundamentals certification, completing a capstone pipeline project on a public cloud platform, and targeting companies with rotational technology programs gives candidates without prior titles a credible technical record before their first interview.
Where can I find and apply to cloud data engineer jobs in Massachusetts?
You can find and apply to cloud data engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings updated in real time. Search the available roles, identify the ones that match your experience and target location, and apply directly to each position through the listing.
See All 6 Cloud Data Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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