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Splunk Data Engineer Jobs in Texas (NOW HIRING)

Charles Schwab Inc.

Manager, Data Engineering

Austin, TX · On-site

$174.53K - $187.10K/yr

Develop automation scripts and data engineering solutions using Python to streamline data ... Toad, Nexus Query Chameleon, GitHub, Splunk, Putty; Python Scripting; Tableau and Power BI; and ...

My3Tech Inc

Network Engineer 3

Austin, TX

Data engineer that operates, monitors and manages network infrastructure. * Responsible for the ... Splunk, and various Protocol Analyzers and with Microsoft Office suite including Visio.

Apple

Software Engineer- Applications

Austin, TX · On-site

... Engineering or related field and 7 years of experience in the job offered or related occupation. 5 ... Using Python to develop automation scripts and Splunk SDK integrations for onboarding data sources ...

Apple

Software Engineer- Applications

Austin, TX · On-site

Master's Degree or foreign equivalent in Computer Science, Electrical Engineering or related field ... Using Python to develop automation scripts and Splunk SDK integrations for onboarding data sources ...

Cogent Info

Software Engineer

Plano, TX

If you're passionate about backend development, data engineering, and cloud-native solutions, this ... Implement observability and monitoring using Splunk, Dynatrace, and Kibana * Ensure software ...

Samprasoft

SIEM Security Engineer II

Houston, TX

Ability to configure, deploy, maintain and troubleshoot on-premise Splunk Enterprise infrastructure ... data models, developing correlation rules, and perform log data analysis * Experience working in ...

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Splunk Data Engineer information

What are the key skills and qualifications needed to thrive as a Splunk Data Engineer, and why are they important?

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.

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 cities in Texas are hiring for Splunk Data Engineer jobs? Cities in Texas with the most Splunk Data Engineer job openings:

Manager, Data Engineering

Charles Schwab Inc.

Austin, TX • On-site

$174.53K - $187.10K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Job Duties: Contribute to the overall system design, architecture, security, scalability, reliability, and performance of Google Cloud Platform (GCP) data solutions. Leverage GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage and support scalable data pipelines and analytics platforms. Collaborate with vendor teams to manage GCP-based data operations, drive automation initiatives, and enable DevOps practices using tools such as Cloud Build, Cloud Deployment Manager, and Terraform. Support the build and deployment pipelines on GCP, and when necessary, diagnose and resolve production support issues leveraging GCP monitoring and logging tools (e.g., Cloud Monitoring, Cloud Logging). Maintain data integration workflows and mappings using Informatica Intelligent Cloud Services (IICS) and Informatica Data Management Cloud (IDMC). Ensure data accuracy, integrity, and accessibility across cloud and on-premises environments. Implement and manage change management processes using industry-standard tools (e.g., Jira, Control-M, ServiceNow), ensuring safe, compliant, and efficient deployment of changes across cloud and data platforms. Participate in change advisory boards, conduct impact analysis, and document change activities. Develop automation scripts and data engineering solutions using Python to streamline data processing, enable analytics, and support operational excellence. Maintain and enhance Python-based frameworks for ETL, monitoring, and reporting. Recommend or innovate changes to processes and tools at the team level based on industry standards, GCP best practices, and emerging cloud patterns. Identify and communicate cross-team dependencies within cloud-based architectures. Communicate individual and project-level development statuses, issues, risks, and concerns to technical leadership and management. Create documentation and training related to GCP, IICS, change management tools, and Python technology stacks and standards within the assigned team. Coach and mentor junior engineers in cloud engineering, data integration, automation techniques, and new technologies, enabling others to succeed. Support on-call duties as required. Collaborate with business and technology partners, including offshore development teams, to deliver robust cloud solutions.
What you have
Job Requirements: Requires Bachelor's in Computer Science, Applied Computer Science, or a related field and 60 months of progressive, post-Bachelor's experience in a related occupation. . Requires 60 months of experience involving the following: Informatica Intelligent Cloud Service (IICS), Informatica PowerCenter 9.X; Cloud Data Platforms include Google Big Query, GCS bucket and Data Proc; Autosys and Control M; Oracle, DB2, MS SQL Server; Shell Scripting; Toad, Nexus Query Chameleon, GitHub, Splunk, Putty; Python Scripting; Tableau and Power BI; and Change Management tools, Remedy, Service Now, Jira.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).

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