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Entry Level Google Data Center Engineer Jobs in Boston, MA

State Street Corporation

SIEM Data Engineer

Quincy, MA · On-site

Who we are looking for We are looking for a SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager. You will support the onboarding, transformation, routing, validation, and ...

Google

Software Engineer III

Cambridge, MA · On-site

$62.75 - $84.50/hr

About the job Google's software engineers develop the next-generation technologies that change how ... and data storage, security, artificial intelligence, natural language processing, UI design and ...

Babel Street

Data Warehouse Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... Google Cloud Platform (GCP). You will collaborate closely with data analysts and business ... This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ...

Google Inc.

Software Engineer III

Cambridge, MA · On-site

$126 - $210/hr

... data analysis, visualization tools, or debugging. * Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Google's software engineers develop ...

Babel Street

Data Warehouse Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... Google Cloud Platform (GCP). You will collaborate closely with data analysts and business ... This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ...

ControlsJobs

BAS Application Engineer

Boston, MA · On-site

$100 - $160/hr

A well-established Data Center and Building Automation contractor is seeking a skilled BAS Application Engineer (Mid & Senior Level) in Boston, MA.This position focuses on programming, integrating ...

Saransh Inc

Desktop Engineer - Only W2

Cambridge, MA · On-site

Desktop Engineer Location: Cambridge, MA / Danvers, MA (5 days a week Onsite) - (Candidate should ... Familiarity with manufacturing, lab and Data Center IT equipment * Includes but is not limited to ...

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Entry Level Google Data Center Engineer information

See Boston, MA salary details

$56K

$160.2K

$214K

How much do entry level google data center engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for entry level google data center engineer in Boston, MA is $160,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $212,900.00 per year, depending on experience, location, and employer.

What does an entry level Google data center engineer do?

An Entry Level Google Data Center Engineer is responsible for supporting the operation, maintenance, and troubleshooting of Google's data center infrastructure. Their tasks typically include monitoring systems, assisting with hardware installations and repairs, performing routine inspections, and responding to technical issues under the guidance of senior engineers. This role is crucial in ensuring that Google’s massive network of servers and associated hardware run smoothly and efficiently, providing reliable service for users worldwide. Entry level engineers also follow strict protocols to maintain security and data integrity within the facility.

What are the key skills and qualifications needed to thrive as an entry level Google data center engineer?

To thrive as an Entry Level Google Data Center Engineer, you need a solid understanding of computer hardware, networking fundamentals, and basic troubleshooting skills, typically supported by a degree in IT, computer science, or a related field. Familiarity with data center infrastructure management tools, Linux/Unix systems, and certifications like CompTIA A+ or Network+ are often valuable. Strong analytical thinking, attention to detail, and effective teamwork help you excel in maintaining uptime and working safely in high-stakes environments. These skills ensure the reliability, efficiency, and security of critical data center operations.

What are the common challenges faced by entry level Google data center engineers during their first year on the job?

As an Entry Level Google Data Center Engineer, you may encounter challenges such as adapting to the fast-paced and highly secure environment, learning to troubleshoot hardware and networking issues efficiently, and mastering Google’s unique infrastructure tools and protocols. Collaborating with experienced engineers and other cross-functional teams is essential, and you’ll need to quickly become comfortable following strict operational processes. Over time, these challenges become valuable learning opportunities that help you build strong foundational skills and prepare for more advanced responsibilities.

What is the difference between Entry Level Google Data Center Engineer vs Entry Level Data Center Technician?

AspectEntry Level Google Data Center EngineerEntry Level Data Center Technician
Required CredentialsTypically a bachelor's degree in computer science, engineering, or related field; certifications like CompTIA A+ or Network+ are commonHigh school diploma or equivalent; certifications like CompTIA A+ are often preferred
Work EnvironmentDesign, maintain, and optimize data center infrastructure; involves troubleshooting hardware and network issuesInstall, maintain, and repair hardware and cabling; perform routine equipment checks
Employer & Industry UsageGoogle and large tech companies; focus on cloud infrastructure and data center operationsData centers across various industries; focus on hardware support and maintenance

While both roles support data center operations, the Entry Level Google Data Center Engineer typically involves more technical design and troubleshooting, requiring a degree and specialized certifications. The Entry Level Data Center Technician focuses on hardware installation and maintenance, often with less formal education but essential for day-to-day data center functionality.

What are the most commonly searched types of Google Data Center Engineer jobs in Boston, MA?

The most popular types of Google Data Center Engineer jobs in Boston, MA are:

What are popular job titles related to Entry Level Google Data Center Engineer jobs in Boston, MA?

For Entry Level Google Data Center Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Google Data Center Engineer jobs in Boston, MA look for?

The top searched job categories for Entry Level Google Data Center Engineer jobs in Boston, MA are:

Entry Level Google Data Center Engineer jobs near you
Infographic showing various Entry Level Google Data Center Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $160,202 per year, or $77 per hour.

SIEM Data Engineer

Quincy, MA • On-site

State Street Corporation
Finance and Insurance • 10K+ employees
Learn more about State Street Corporationexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Who we are looking for
We are looking for a SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager. You will support the onboarding, transformation, routing, validation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring, analytics, reporting, incident response, and cyber data science use cases.
This role is focused on understanding diverse enterprise data sources, building and maintaining security telemetry pipelines, validating data quality, and ensuring reliable delivery of high-quality data into cyber data platforms such as Splunk, Databricks, and other SIEM or cyber analytics platforms. You will work closely with cybersecurity, infrastructure, cloud, application, and data engineering teams to ensure security telemetry is accurate, searchable, complete, and fit for purpose.
Why This Role Is Important to Us
The team you will be joining is part of Cyber Data & Analytics, a function that is vital to the company as it enables cybersecurity teams to make faster, data-driven decisions and strengthen the firm's ability to detect, investigate, and respond to evolving cyber threats.
High-quality cybersecurity data is foundational to effective threat detection, incident response, risk reporting, observability, automation, analytics, and compliance. This role helps ensure that enterprise security telemetry is properly onboarded, validated, enriched, routed, monitored, and continuously available to support critical cyber defense capabilities.
What you will be responsible for
As SIEM Data Engineer you will:
  • Support onboarding of security telemetry from applications, infrastructure, endpoints, identity platforms, network devices, cloud services, SaaS tools, databases, and security products.

  • Analyze source log formats and define ingestion requirements, expected fields, metadata, routing needs, and downstream SIEM/analytics use cases.

  • Configure telemetry pipelines for parsing, filtering, masking, enrichment, normalization, event breaking, metadata tagging, and destination routing.

  • Route security telemetry to Splunk, Databricks, and other SIEM or cyber analytics platforms.

  • Support validation and delivery of security telemetry into Databricks across raw, enriched, and curated data layers.

  • Support ingestion patterns such as syslog, HEC, REST APIs, cloud storage, streaming services, forwarders, and agent-based integrations.

  • Validate data quality in Splunk and Databricks for freshness, completeness, timestamp accuracy, field availability, schema consistency, source attribution, and routing accuracy.

  • Troubleshoot ingestion and data flow issues across sources, collectors, pipelines, SIEM platforms, Databricks tables, APIs, cloud storage, and streaming platforms.

  • Provide second-line-of-defense support for operational issues related to data engineering jobs, pipelines, ingestion failures, and issues leading to loss of data delivery to cyber data platforms.

  • Collaborate with Detection Engineering, Security Operations, Cyber Data Science, Observability, Cloud, Infrastructure, Application, and Platform teams to ensure telemetry supports security use cases.

  • Assist with source type assignment, index routing, taxonomy tagging, metadata enrichment, CIM alignment, schema mapping, and data validation.

  • Monitor pipeline health, dropped events, destination failures, ingestion latency, queue growth, and data delivery issues.

  • Document onboarding patterns, field mappings, transformation logic, routing decisions, data flow diagrams, runbooks, troubleshooting procedures, and operational handoffs.

  • Participate in production support, change management, incident response, root cause analysis, and continuous improvement activities

  • Second-line-of-defense support for operational issues related to data engineering (jobs/pipelines) and issues leading to loss of data delivery to Cyber data platforms

What we value
These skills will help you succeed in this role
  • Strong understanding of SIEM data onboarding, log ingestion, data routing, parsing, enrichment, validation, and troubleshooting.

  • Hands-on experience with Splunk or similar SIEM/log analytics platforms.

  • Hands-on experience or working knowledge of Cribl Stream or similar data pipeline technologies for routing, filtering, parsing, enrichment, transformation, and destination delivery.

  • Ability to understand and onboard telemetry from diverse enterprise data sources across cloud, endpoint, identity, network, application, infrastructure, database, SaaS, and security platforms.

  • Familiarity with common log formats such as JSON, XML, CSV, key-value, syslog, Windows Event Logs, cloud audit logs, API responses, and application logs.

  • Working knowledge of Databricks or similar analytics/lakehouse platforms is preferred.

  • Familiarity with Databricks data layers and data engineering concepts, including raw data ingestion, enrichment, curated tables, SQL-based validation, and analytics-ready datasets.

  • Ability to use SPL, SQL, Spark SQL, Python, Shell, or PowerShell for data validation, querying, troubleshooting, and automation.

  • Understanding data quality concepts, including log fidelity, event completeness, timestamp accuracy, field consistency, duplicate detection, routing validation, and data delivery monitoring.

  • Strong documentation, communication, collaboration, prioritization, and problem-solving skills.

Education & Preferred Qualifications
  • Master's or bachelor's degree in computer science, Cybersecurity, Information Technology, Engineering, Data Engineering, Data Analytics, Information Systems, or a related technical field; equivalent work experience may also be considered

  • 5+ years of experience in SIEM engineering, security data engineering, cybersecurity platform operations, or log analytics, with hands-on experience using Splunk or similar SIEM/log analytics platforms.

  • 2+ years of experience with Cribl Stream or similar data pipeline technologies such as Fluent Bit/Fluentd, Vector, Kafka, Syslog, HEC, REST APIs, or cloud-native ingestion services.

  • 2+ years of experience with Databricks, data lakehouse platforms, large-scale analytics platforms, or security data repositories for telemetry validation, analytics, and data engineering use cases.

  • Experience onboarding, validating, and troubleshooting security telemetry from diverse enterprise sources to support threat detection, observability, incident response, reporting, and cyber analytics use cases.

  • Experience querying and validating data using SPL, SQL, Spark SQL, Python, or similar languages.

  • Experience analyzing logs from cloud, endpoint, network, identity, infrastructure, application, database, SaaS, and security tools.

  • Experience with production support, issue troubleshooting, ticket documentation, root cause analysis, operational handoffs, and continuous service improvement.

  • Relevant certifications are preferred, including Cribl certifications such as Cribl Certified Observability Engineer, Splunk certifications such as Splunk Certified Admin, Splunk Certified Architect, or Splunk Certified Consultant, or equivalent hands-on platform experience.

  • Cloud, infrastructure, data engineering, or cybersecurity certifications are a plus.

Work Requirement
  • This role may follow a hybrid work model, with in-office presence required based on team, business, and location expectations.

  • Standard working hours are 8:00 AM to 5:00 PM local time for the employee's designated work location. Flexibility may be required for occasional operational support, release of activities, incident resolution, escalation support, or data delivery of recovery efforts.

Salary Range:
$90,000 - $157,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

Social media

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