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Splunk Data Engineer Jobs in Austin, TX (NOW HIRING)

Monks

Senior DevOps Engineer

Austin, TX · Hybrid

$128K - $165K/yr

Collaborating with software and data engineering team on finding operationally sustainable ... Proficiency with logging and observability technologies such as Prometheus, Grafana, Splunk or ...

Comtech, LLC

SOA Engineer

Round Rock, TX · On-site

... data management services. We have developed our methodologies and processes based on the ... Splunk platform engineering and operations team. Responsible for technical implementation ...

Scigon Solutions

SIEM Engineer II

Austin, TX · On-site

$149K - $166K/yr

... SecOps), Splunk, Exabeam, Microsoft Sentinel). * Cribl Development - Support the design and ... Data Quality Assurance - Help establish and monitor data quality standards to ensure reliable and ...

Cisco

Applied AI Scientist

Austin, TX · On-site

... data - including logs, time series, traces, and events! We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work ...

InterSources Inc

SRE Engineer

Austin, TX · On-site

$56.50 - $75/hr

... Kibana or Splunk) and AIOPS Tools • Configure application performance monitoring (APM ... data. • Operational excellence with focus on automation and developing tools to streamline ...

EPAM Systems

Senior iOS Developer

Austin, TX · On-site

$59.50 - $77/hr

As a Senior iOS Developer , you'll develop sophisticated motion detection algorithms, implement ... data stores like Splunk. At EPAM, you'll work on cutting-edge technologies, solve complex ...

Cisco

Software Tech Leader, Splunk IAM

Austin, TX · On-site

Meet the Team Join the Splunk IAM Engineering team. As AI adoption accelerates and autonomous ... Deep understanding of distributed data systems, including relational and non-relational databases ...

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Showing results 21-40

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Splunk Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do splunk data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for splunk data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a Splunk data engineer?

A Splunk Data Engineer is a technology professional who specializes in configuring, managing, and optimizing Splunk, a powerful data analytics and monitoring platform. They are responsible for ingesting, parsing, and transforming large volumes of machine data from various sources into Splunk, enabling organizations to gain valuable insights and improve operational efficiency. Splunk Data Engineers also develop and maintain dashboards, alerts, and reports, as well as ensure data quality, security, and scalability within the Splunk environment.

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

To excel as a Splunk Data Engineer, you need strong expertise in data analytics, log management, and scripting languages such as Python or Shell, often supported by a bachelor's degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Search Processing Language (SPL), and relevant certifications like Splunk Core Certified Power User or Splunk Certified Admin are highly valued. Problem-solving, attention to detail, and effective communication are notable soft skills that help in collaborating with cross-functional teams and resolving complex data issues. These competencies are essential for effectively managing and optimizing data pipelines, ensuring reliable insights, and supporting business decision-making.

What are some common challenges Splunk data engineers face when integrating new data sources into Splunk environments?

Splunk Data Engineers often encounter challenges such as parsing unstructured data, ensuring data consistency, and managing data ingestion performance when integrating new sources. They may need to create or adjust data onboarding pipelines, develop custom parsing rules, and work closely with IT and security teams to maintain data integrity and compliance. Addressing these challenges requires a strong understanding of both Splunk's data models and the specific characteristics of the source systems.

Is Splunk in high demand?

Splunk Data Engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Organizations seek professionals skilled in data ingestion, search processing language (SPL), and cloud environments, often requiring certifications and experience with large-scale data systems.
Infographic showing various Splunk Data Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

SIEM Engineer - Cribl

Austin, TX • On-site

Request Technology, LLC
1 - 10 employees
Learn more about Request Technology, LLCexternal

Other

Posted 25 days ago

Key responsibilities

  • Assist in the implementation, administration, and ongoing optimization of the SIEM platform.

  • Support the design and maintenance of Cribl pipelines, including data routing, filtering, and enrichment.

  • Build and maintain integrations for log sources using APIs, agents, syslog, and cloud-native logging services.

Job description

NO SPONSORSHIP - NO OPT

SIEM Engineer II

SALARY: $149k - $166l plus discretionary bonus

LOCATION: AUSTIN, TX

Looking for a security engineer with 3+ years SIEM logging security analytics. SIEM google SecOps chronicle splunk exabeam or Microsoft sentinel cribl exposure apis sys log or agents experience building dashboards scripting spl kql python regex aws azure Google Cloud Platform cloud

As a SIEM Engineer II, you will play a key role in the implementation, optimization, and day-to-day management of the Firm s Security Information and Event Management (SIEM) platform. You ll contribute to the ingestion, normalization, and enrichment of security telemetry while supporting detection engineering, incident response, and security analytics.

  • SIEM Platform Support Assist in the implementation, administration, and ongoing optimization of the Firm s SIEM platform (e.g., Google Security Operations (SecOps), Splunk, Exabeam, Microsoft Sentinel).
  • Cribl Development Support the design and maintenance of Cribl pipelines, including data routing, filtering, enrichment, and performance optimization.
  • Log Integration Build and maintain integrations for standard and custom log sources using APIs, agents, syslog, and cloud-native logging services.
  • Detection Enablement Partner with Cybersecurity Operations to develop and refine SIEM use cases, correlation rules, and alerting logic.
  • Dashboards & Reporting Create and enhance dashboards, searches, and reports to support SOC (Security Operations Center) operations and threat hunting.
  • Documentation Contribute to documentation of SIEM architecture, data flows, onboarding processes, and operational procedures.
  • Data Quality Assurance Help establish and monitor data quality standards to ensure reliable and accurate telemetry.
  • Cross-Team Collaboration Work with IT, Cloud, and Application teams to onboard new systems and ensure proper logging coverage.
  • Incident Support Provide support during security incidents, assisting with investigation and analysis efforts.
  • Continuous Learning Stay current on SIEM technologies, security analytics, and observability trends to enhance capabilities.

What You ll Bring

  • Education Bachelor s degree or equivalent professional experience required.
  • Experience Minimum of 3 5 years in IT or engineering, with at least 2 3 years focused on SIEM, logging, or security analytics.
  • SIEM Fundamentals Hands-on experience working with SIEM platforms such as Google SecOps (Chronicle), Splunk, Exabeam, or Microsoft Sentinel.
  • Cribl Exposure Experience working with Cribl, including pipeline configuration and log onboarding, preferred.
  • Data Integration Skills Familiarity with integrating log sources using APIs, syslog, or agents.
  • Analytics & Visualization Experience building dashboards, alerts, and queries to support security monitoring and operations.
  • Security Knowledge Understanding of common log sources, including endpoint, network, identity, cloud, SaaS (Software as a Service), and application logs.
  • Collaboration & Communication Ability to work effectively with cross-functional teams and communicate technical concepts clearly.
  • Technical Foundation Exposure to scripting or query languages (e.g., SPL, KQL, Python, Regex) and cloud platforms (Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (Google Cloud Platform)) is a plus.

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