Senior Data Center Engineer Jobs in New York
Senior Data Center Engineer jobs in New York represent one of the most active markets in the country, concentrated in financial services, cloud infrastructure, media and entertainment, and enterprise IT across New York City, White Plains, and Buffalo. Major employers with a lasting presence in the state include IBM, JPMorgan Chase, and Verizon, each operating large-scale data center facilities that require senior-level engineers. The most in-demand specialties are critical power and cooling systems, network infrastructure management, and hyperscale facility operations. Find a role that fits below and apply directly.
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See related jobsWhy Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
The Senior Contact Center Data Engineer I is a senior individual contributor responsible for building scalable analytics solutions, guiding complex analysis, and helping mature the contact center analytics capability. This role supports contact center operations, interactive voice response (IVR), automation, workforce management, product, technology, and data governance partners. This position carries greater ownership for complex data solutions, deeper technical troubleshooting, stronger proactive issue detection, and a higher expectation to mentor junior engineers and influence analytics standards across the team.
This is a hybrid position, requiring on-site presence 2-3 days a week at one of the following locations: Dallas, TX; Palo Alto, CA; Bethesda, MD; Buffalo, NY; San Diego, CA; Virginia Beach, VA; Fredericksburg, VA; Tampa, FL.
Key Responsibilities
- Independently design, develop, test, deploy, and maintain complex data structures, enterprise reports, dashboards, analytical systems, and software that support operational and strategic decision-making.
- Lead analysis of contact center, IVR, digital, cloud, customer, workforce, and operational data to identify root causes, quantify business impact, and recommend practical actions.
- Build, enhance, and troubleshoot reporting and monitoring solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics, cloud, and data visualization tools.
- Proactively identify emerging business or system issues by monitoring data patterns, anomalies, customer contact behavior, IVR performance, containment, transfers, service levels, handle time, and other operational indicators.
- Partner with operations, workforce management, IVR, automation, product, engineering, data architecture, data science, and governance teams to translate complex business problems into scalable technical solutions.
- Research and query new internal and external, structured and unstructured data sources to expand reporting capabilities, improve data availability, and strengthen business intelligence solutions.
- Assess and cultivate longer-term opportunities for business intelligence, automation, self-service improvement, and proactive performance management.
- Improve development practices, reporting standards, metric definitions, documentation, validation routines, governance controls, and data stewardship practices for assigned subject areas.
- Protect sensitive data, support appropriate data classification and access controls, and ensure analytics assets align with governance and quality expectations.
- Instruct, review, and coach junior Data Analytics Engineers by providing technical guidance, reviewing work, reinforcing best practices, and helping the team solve complex problems more consistently.
- Communicate complex insights clearly to technical and non-technical stakeholders, using strong business context and data storytelling to influence decisions.
Required Qualifications
- 3+ years of experience in business analytics, data analytics, product analytics, operations analytics, or a related analytical role.
- 3+ years of experience querying complex systems using SQL and performing data analysis.
- 3+ years of experience using analytical or programming languages such as Python, R, SAS, .NET, M, or DAX.
- 2+ years of experience using source control, DevOps tools, or collaborative development practices.
- 1+ years of experience with big data or cloud-based technologies such as Snowflake, Hive, Spark, Hadoop, Azure, AWS, or similar platforms.
- 3+ years of experience with a BA/BS degree or 5+ years of equivalent experience.
- Ability to operate independently, manage complex priorities, review technical work, and communicate clearly across business and technology audiences.
- BA/BS degree in computer science, statistics, analytics, operations research, economics, mathematics, business, or a related field.
Preferred Qualifications
- 3+ years of experience developing business intelligence reporting or data visualizations in Power BI, Amazon QuickSight, Tableau, or similar tools.
- 1+ years of experience with data engineering or systems design concepts, such as entity relationship diagrams, unified modeling language, topology diagrams, or similar design practices.
- Experience supporting contact center, IVR, customer service, workforce management, automation, digital servicing, insurance, or financial technology environments.
- Experience using Amazon CloudWatch or similar monitoring tools to identify operational, system, or service anomalies.
- Experience working in Agile delivery environments and mentoring or coaching less-experienced analysts or engineers.
Annual Salary
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
The Senior Contact Center Data Engineer I is a senior individual contributor responsible for building scalable analytics solutions, guiding complex analysis, and helping mature the contact center analytics capability. This role supports contact center operations, interactive voice response (IVR), automation, workforce management, product, technology, and data governance partners. This position carries greater ownership for complex data solutions, deeper technical troubleshooting, stronger proactive issue detection, and a higher expectation to mentor junior engineers and influence analytics standards across the team.
This is a hybrid position, requiring on-site presence 2-3 days a week at one of the following locations: Dallas, TX; Palo Alto, CA; Bethesda, MD; Buffalo, NY; San Diego, CA; Virginia Beach, VA; Fredericksburg, VA; Tampa, FL.
Key Responsibilities
- Independently design, develop, test, deploy, and maintain complex data structures, enterprise reports, dashboards, analytical systems, and software that support operational and strategic decision-making.
- Lead analysis of contact center, IVR, digital, cloud, customer, workforce, and operational data to identify root causes, quantify business impact, and recommend practical actions.
- Build, enhance, and troubleshoot reporting and monitoring solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics, cloud, and data visualization tools.
- Proactively identify emerging business or system issues by monitoring data patterns, anomalies, customer contact behavior, IVR performance, containment, transfers, service levels, handle time, and other operational indicators.
- Partner with operations, workforce management, IVR, automation, product, engineering, data architecture, data science, and governance teams to translate complex business problems into scalable technical solutions.
- Research and query new internal and external, structured and unstructured data sources to expand reporting capabilities, improve data availability, and strengthen business intelligence solutions.
- Assess and cultivate longer-term opportunities for business intelligence, automation, self-service improvement, and proactive performance management.
- Improve development practices, reporting standards, metric definitions, documentation, validation routines, governance controls, and data stewardship practices for assigned subject areas.
- Protect sensitive data, support appropriate data classification and access controls, and ensure analytics assets align with governance and quality expectations.
- Instruct, review, and coach junior Data Analytics Engineers by providing technical guidance, reviewing work, reinforcing best practices, and helping the team solve complex problems more consistently.
- Communicate complex insights clearly to technical and non-technical stakeholders, using strong business context and data storytelling to influence decisions.
Required Qualifications
- 3+ years of experience in business analytics, data analytics, product analytics, operations analytics, or a related analytical role.
- 3+ years of experience querying complex systems using SQL and performing data analysis.
- 3+ years of experience using analytical or programming languages such as Python, R, SAS, .NET, M, or DAX.
- 2+ years of experience using source control, DevOps tools, or collaborative development practices.
- 1+ years of experience with big data or cloud-based technologies such as Snowflake, Hive, Spark, Hadoop, Azure, AWS, or similar platforms.
- 3+ years of experience with a BA/BS degree or 5+ years of equivalent experience.
- Ability to operate independently, manage complex priorities, review technical work, and communicate clearly across business and technology audiences.
- BA/BS degree in computer science, statistics, analytics, operations research, economics, mathematics, business, or a related field.
Preferred Qualifications
- 3+ years of experience developing business intelligence reporting or data visualizations in Power BI, Amazon QuickSight, Tableau, or similar tools.
- 1+ years of experience with data engineering or systems design concepts, such as entity relationship diagrams, unified modeling language, topology diagrams, or similar design practices.
- Experience supporting contact center, IVR, customer service, workforce management, automation, digital servicing, insurance, or financial technology environments.
- Experience using Amazon CloudWatch or similar monitoring tools to identify operational, system, or service anomalies.
- Experience working in Agile delivery environments and mentoring or coaching less-experienced analysts or engineers.
Annual Salary
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
See All 5 Senior Data Center Engineer Jobs in New York
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Find JobsSenior Data Center Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Senior Data Center Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Construction & Real Estate
- Investment & Asset Management
- Consulting & Professional Services
What New York Employers Look For
The qualifications that appear most often in senior data center engineer jobs across New York.
- Five or more years of hands-on data center operations and infrastructure management experience
- Proficiency with power distribution, UPS systems, and cooling infrastructure in enterprise environments
- Experience managing network hardware including switches, routers, and fiber cabling at scale
- Familiarity with DCIM tools and change management processes in 24/7 production environments
- Strong knowledge of structured cabling standards and data center tier classifications
- Ability to coordinate with vendors, contractors, and cross-functional teams on facility projects
Senior Data Center Engineer Jobs in New York: Frequently Asked Questions
How do you become a senior data center engineer in New York?
The typical path in New York starts with a bachelor's degree in electrical engineering, computer science, or information technology, followed by several years in data center operations or IT infrastructure roles. New York does not require a state-issued license specific to data center engineering, but employers strongly value industry credentials such as the Certified Data Centre Professional or Uptime Institute certifications. Large New York employers in finance and media typically expect hands-on experience with enterprise-scale facilities before considering candidates for senior roles.
Which companies hire senior data center engineers in New York?
Employers hiring senior data center engineers in New York right now include CBRE, GEICO, and TEK Connexion, based on current listings on Migrate Mate as of August 2026. New York's concentration of global financial institutions and major telecommunications providers means demand for senior-level data center talent remains consistently high across the state.
Which New York cities have the most senior data center engineer jobs?
The cities with the most senior data center engineer openings in New York are New York, Utica, and Buffalo. New York City dominates the distribution because of its dense concentration of financial firms, media companies, and enterprise headquarters that operate large on-premises and colocation facilities, while suburban hubs like White Plains and areas near Buffalo serve regional operations and upstate enterprise campuses.
Are there remote senior data center engineer jobs in New York?
Yes, but they're rare. Senior data center engineering is fundamentally a hands-on role involving physical infrastructure, and most positions require regular on-site presence to manage hardware, power systems, and facility operations. About 67% of senior data center engineer openings tied to New York are remote or hybrid as of August 2026, and the remote-eligible work tends to be limited to planning, vendor coordination, and monitoring tasks rather than core infrastructure duties.
How can I get hired as a senior data center engineer in New York with little or no experience?
The most realistic entry path is starting as a data center technician or IT infrastructure associate, roles that large New York employers in finance, telecom, and colocation regularly fill at the junior level. Companies like Verizon and major colocation providers operating in the New York metro area sometimes run structured associate programs for candidates with relevant coursework or military technical training. Earning an entry-level credential such as the CompTIA Server+ alongside hands-on exposure to structured cabling or hardware installation gives candidates a meaningful edge when applying to junior roles that lead into senior positions.
Where can I find and apply to senior data center engineer jobs in New York?
You can find and apply to senior data center engineer jobs in New York on Migrate Mate, which lists current openings across the state. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
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