Senior Data Center Engineer Jobs in Virginia
Senior Data Center Engineer jobs in Virginia are among the most active in the country, concentrated in the federal contracting corridor, hyperscale cloud infrastructure, and defense IT sectors that define Northern Virginia's economy. Most hiring centers on Northern Virginia (particularly Ashburn, Reston, and McLean), Richmond, and the Hampton Roads region, where employers such as Amazon Web Services, Leidos, and Booz Allen Hamilton maintain large, long-term operations. The most in-demand specialties are critical power and cooling systems, network infrastructure, and data center operations management. Find a role that fits below and apply directly.
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Showing 5 of 18+ Senior Data Center Engineer jobs
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.
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 18 Senior Data Center Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find JobsSenior Data Center Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Senior Data Center Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Amazon12
- GEICO2
- QTS1
- Ursus1
- Wells Fargo1
Top Industries Hiring
- Retail
- Technology & Software
- E-Commerce & Online Marketplaces
- Agriculture & Farming
- Staffing & Recruiting
What Virginia Employers Look For
The qualifications that appear most often in senior data center engineer jobs across Virginia.
- At least seven years of hands-on data center infrastructure design, operations, or engineering experience
- Expertise in critical power systems including UPS, PDUs, generators, and redundant electrical distribution
- Deep knowledge of cooling infrastructure such as CRAC units, chillers, and hot-aisle containment
- Active Data Center Design Professional or Certified Data Centre Professional credential strongly preferred
- Experience supporting federal or DoD environments, often requiring an active security clearance
- Proficiency with DCIM platforms and change management in high-availability, mission-critical environments
Senior Data Center Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a senior data center engineer in Virginia?
Most senior data center engineers in Virginia reach that level through a combination of a bachelor's degree in electrical engineering, mechanical engineering, or a related technical field, plus years of progressive experience in critical facilities operations. Virginia does not issue a state-specific license for this role, but employers in the region, particularly federal contractors, routinely require credentials such as the Uptime Institute's Accredited Tier Designer, BICSI's RCDD, or a CompTIA Server certification alongside an active DoD security clearance.
Which companies hire senior data center engineers in Virginia?
Employers hiring senior data center engineers in Virginia right now include Amazon, GEICO, and QTS, based on current listings on Migrate Mate as of August 2026. Virginia's concentration of hyperscale cloud campuses in Ashburn and federal IT contractors throughout the Northern Virginia corridor makes it one of the deepest hiring markets for this role in the country.
Which Virginia cities have the most senior data center engineer jobs?
Herndon, Richmond, and Ashburn account for the largest share of senior data center engineer openings in Virginia. Northern Virginia, particularly the Ashburn-Reston corridor, drives the bulk of demand because it hosts one of the world's densest concentrations of hyperscale data centers and federal IT facilities, while Richmond and Hampton Roads add volume through state government infrastructure and defense-adjacent operations.
Are there remote senior data center engineer jobs in Virginia?
Yes, but they are rare. Senior data center engineering is fundamentally a hands-on discipline requiring physical presence to manage power, cooling, cabling, and hardware in live facilities. About 50% of senior data center engineer openings tied to Virginia are remote or hybrid as of August 2026, and those positions are most often in planning, design review, or project management functions rather than day-to-day operations roles.
How can I get hired as a senior data center engineer in Virginia with little or no experience?
The most realistic entry path is a data center technician or critical facilities technician role at one of Northern Virginia's large colocation operators or federal contractors, companies like Equinix, CyrusOne, or major defense IT firms regularly hire entry-level technicians and promote from within. Earning a CompTIA Server certification or a BICSI Installer credential before applying gives a meaningful edge. Candidates who start in adjacent roles such as network operations center analyst or facilities coordinator at a Virginia colocation campus frequently move into engineering tracks within a few years.
Where can I find and apply to senior data center engineer jobs in Virginia?
You can find and apply to senior data center engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings updated in real time. Find the roles that fit your experience and apply directly to the employers posting them.
See All 18 Senior Data Center Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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