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Splunk Engineer Jobs in Houston, TX (NOW HIRING)

Junior Application Developer

Houston, TX · On-site

$64K - $83K/yr

... such as Splunk or ELK. * General Abilities Self-starter, quick learner and highly adaptable to ... Effectively utilize SDLC tools, Continuous Integration, DevOps and automation technologies.

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Splunk Engineer information

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$67.8K

$121.1K

$169.1K

How much do splunk engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for splunk engineer in Houston, TX is $121,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,436.00 and $138,597.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Splunk Engineer?

To thrive as a Splunk Engineer, you need expertise in data analysis, log management, and scripting languages like Python or Bash, often backed by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk Cloud, and certifications such as Splunk Certified Power User or Splunk Certified Admin are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you stand out in this position. These skills are crucial for efficiently managing complex data environments, delivering actionable insights, and supporting organizational security and operations.

What is a Splunk engineer's salary?

A Splunk engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data analysis and security can earn higher compensation, often exceeding $150,000.

Is a Splunk Engineer in high demand?

Splunk Engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Skills in Splunk, along with certifications and experience in cybersecurity or system administration, can improve job prospects in various industries.

What are some common challenges Splunk Engineers face when managing large-scale log data environments?

Splunk Engineers working with large-scale log data environments often encounter challenges related to data ingestion bottlenecks, maintaining indexer performance, and ensuring efficient search query execution. Balancing storage management with retention policies and optimizing dashboards for real-time analysis can also be complex. Successful engineers proactively collaborate with IT, security, and development teams to fine-tune data sources, streamline parsing, and implement best practices for scalability, ensuring that Splunk delivers timely and actionable insights.

What is the difference between Splunk Engineer vs Data Analyst?

AspectSplunk EngineerData Analyst
Required CredentialsSplunk certifications, technical degreesStatistics, data analysis certifications, degrees
Work EnvironmentIT/security teams, tech-focused companiesBusiness, marketing, finance departments
Employer & Industry UsageTech, cybersecurity, enterprise ITFinance, healthcare, retail, marketing

Splunk Engineers focus on deploying, configuring, and maintaining Splunk platforms for data monitoring and security. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Splunk Engineers specialize in technical implementation of Splunk tools, whereas Data Analysts focus on analyzing data to inform strategies.

What is a Splunk Engineer?

A Splunk Engineer is an IT professional who specializes in deploying, configuring, and managing Splunk software for data analysis and monitoring. They are responsible for setting up data ingestion pipelines, creating dashboards, and developing alerts to help organizations monitor their systems and security. Splunk Engineers often work with large datasets to extract meaningful insights, support troubleshooting, and ensure system health. Their expertise is essential for leveraging Splunk’s capabilities in IT operations, security, and compliance.

What are popular job titles related to Splunk Engineer jobs in Houston, TX?

For Splunk Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Splunk Engineer jobs in Houston, TX look for?

The top searched job categories for Splunk Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Splunk Engineer jobs?

Cities near Houston, TX with the most Splunk Engineer job openings:

Infographic showing various Splunk Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $121,074 per year, or $58.2 per hour.

Lead Infrastructure Engineer - Storage

JPMorgan Chase & Co.

Houston, TX • On-site

$102K - $134K/yr

Other

Medical, Retirement

Re-posted 5 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
As a Lead Infrastructure Engineer at JPMorganChase within the Enterprise Technology, Infrastructure Platforms team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.
Job responsibilities
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  • Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
  • Own and continuously improve SLOs/SLIs, error budgets, on-call readiness, and operational excellence for storage services.
  • Lead incident response for storage outages/performance degradations; drive RCAs and implement preventative actions.
  • Create and maintain runbooks, escalation paths, and standardized operational procedures.
  • Operate and enhance block/file/object storage platforms across on-prem and/or cloud environments.
  • Perform performance tuning, capacity planning, lifecycle management, and resiliency testing (failover/DR validation).
  • Partner with infrastructure, network, OS, database, and application teams to meet workload requirements and reliability targets.
  • Build automation for provisioning, patching, upgrades, replication, backup/restore, and compliance checks.
  • Implement AI-driven observability/AIOps (telemetry correlation, anomaly/regression detection, LLM-assisted incident/runbook workflows) with accuracy, auditability, and safe rollout.

Required qualifications, capabilities, and skills
  • Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
  • Strong knowledge of storage fundamentals (RAID/erasure coding, replication, snapshots, tiering/caching, IOPS/latency, multipathing, SAN/NAS, object semantics).
  • Hands-on experience with at least one major storage ecosystem (e.g., NetApp, Dell EMC PowerStore/Isilon, Pure, Hitachi, Ceph, IBM, or cloud storage services).
  • Solid Linux fundamentals, including system performance, networking basics, and kernel/storage-stack concepts.
  • Strong scripting/programming in one or more of Python, Go, Bash.
  • Experience with observability stacks (e.g., PrometheGrafana, ELK/OpenSearch, Splunk, Datadog, OpenTelemetry).
  • Proven incident management skills and ability to operate effectively in an on-call rotation.
  • Practical AI/data skills for operations (anomaly detection/forecasting/correlation/classification; feature extraction and evaluation; integrating AI into production tooling/CI/CD; safe LLM use with guardrails and human-in-the-loop review).

Preferred qualifications, capabilities, and skills
  • Kubernetes storage (CSI), stateful workloads, and container platform operations.
  • Infrastructure as Code (Terraform/CloudFormation) and configuration management (Ansible/Chef/Puppet).
  • Streaming/queue tooling for telemetry and event pipelines (e.g., Kafka).
  • Experience with ITSM/event management platforms (e.g., ServiceNow).
  • Backup/DR products and strategy design, including RPO/RTO tradeoffs.
  • Security controls for data platforms (KMS/HSM, secrets management, key rotation).
  • Experience building/operating controlled self-service platforms with guardrails to reduce toil at scale.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you-and the products you deliver-will thrive.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.

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