Senior Data Center Engineer Jobs in Texas
Senior Data Center Engineer jobs in Texas represent one of the most active markets in the country, concentrated in cloud infrastructure, enterprise IT, oil and gas operations technology, and hyperscale colocation facilities, with demand running from mid-level to principal engineer. The largest hiring concentrations are in Dallas, Houston, and Austin, where employers like Amazon Web Services, Dell Technologies, and AT&T maintain significant infrastructure footprints and ongoing technical staffing needs. The most sought-after specialties right now are power and cooling systems, network infrastructure management, and critical facilities operations. Find a role that fits below and apply directly.
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Showing 5 of 29+ 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.
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.
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 29 Senior Data Center Engineer Jobs in Texas
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Find JobsSenior Data Center Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Senior Data Center Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Retail
- E-Commerce & Online Marketplaces
- Distribution & Wholesale
What Texas Employers Look For
The qualifications that appear most often in senior data center engineer jobs across Texas.
- Seven or more years of experience managing enterprise or hyperscale data center infrastructure
- Hands-on experience with power distribution, UPS systems, and critical cooling infrastructure
- Proficiency with network hardware including routers, switches, and structured cabling systems
- Demonstrated experience with DCIM tools and change management processes in live environments
- Familiarity with BICSI standards, ASHRAE thermal guidelines, and Uptime Institute Tier requirements
- Strong incident response background with experience leading root cause analysis for critical outages
Senior Data Center Engineer Jobs in Texas: Frequently Asked Questions
How do you become a senior data center engineer in Texas?
The most direct path is a bachelor's degree in electrical engineering, computer science, or information technology combined with progressively responsible data center operations experience. Texas does not require a state-issued license specific to data center engineering, but credentials like BICSI's Data Center Design Consultant or Registered Communications Distribution Designer, along with vendor certifications from Cisco or Schneider Electric, are consistently preferred by Texas employers and help candidates stand out for senior roles.
Which companies hire senior data center engineers in Texas?
Employers hiring senior data center engineers in Texas right now include Amazon, Tesla, and Olsson, based on current listings on Migrate Mate as of August 2026. Texas's dense concentration of colocation facilities, oil and gas technology operations, and hyperscale cloud campuses means hiring activity is broad and not limited to a single sector.
Which Texas cities have the most senior data center engineer jobs?
Austin, Brookshire, and Plano have the most senior data center engineer openings in Texas. Dallas leads because it hosts one of the densest colocation corridors in North America, anchored by major carrier-neutral facilities in Allen and Plano, while Houston's demand is driven by energy sector operations technology and Austin's growth reflects its expanding cloud and semiconductor presence.
Are there remote senior data center engineer jobs in Texas?
Yes, but they're rare. Senior data center engineer work is fundamentally hands-on, requiring physical access to critical infrastructure, so fully remote positions are uncommon. About 30% of senior data center engineer openings tied to Texas are remote or hybrid as of August 2026, and those tend to be design, planning, or consulting-focused roles rather than operations and maintenance positions.
How can I get hired as a senior data center engineer in Texas with little or no experience?
The most realistic entry point is a data center technician or critical facilities technician role, which large Texas colocation operators and managed services providers hire for regularly. Companies like CyrusOne, Equinix, and AT&T run structured technician programs at their Texas facilities that build hands-on infrastructure skills. Earning a CompTIA Server+ or BICSI Installer certification before applying gives candidates a concrete credential edge, and roles in facilities maintenance or network operations centers offer strong lateral paths into the field.
Where can I find and apply to senior data center engineer jobs in Texas?
You can find and apply to senior data center engineer jobs in Texas on Migrate Mate, which lists current Texas openings. Find roles that fit your experience and apply directly to the ones that match.
See All 29 Senior Data Center Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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