About the role
structured by ORILeidos is seeking a Data Pipeline / Splunk Engineering Intern with a Computer Science, Data Science, or similar technical background to join our team in support of the SMIT contract , the largest IT services program for the U.S. Navy.
What you will do
- Support development and maintenance of data pipelines that ingest, transform, and deliver data to Splunk and analytics platforms
- Write and maintain Python scripts to process log, metric, and event data
- Assist with data validation, normalization, and enrichment to improve data quality and usability
- Assist with building dashboards and visualizations that consume pipeline-produced data
- Collaborate with Splunk developers, SREs, and operations teams to understand data requirements
What they are looking for
- Enrolled in a Bachelor’s degree program in Computer Science, Data Science, Software Engineering, Information Systems, or related field.
- Experience with Python programming
- Coursework or hands-on experience with data processing or data pipelines
- Familiarity with structured or semi-structured data (e.g., JSON, CSV, log files)
- Strong analytical and problem-solving skills
- Ability to work collaboratively and learn in a fast-paced technical environment
- Holds or has ability to obtain a Secret Level security clearance
- US citizenship required
- GPA of 3.0 or higher
Nice to have
- Exposure to Splunk or other log analytics / observability platforms
- Experience with data visualization tools or libraries (e.g., Splunk dashboards, matplotlib, Plotly, Power BI, Tableau)
- Familiarity with REST APIs and data ingestion patterns
- Exposure to Linux environments or command-line tooling
- Experience with version control systems such as Git
- Familiarity with Agile development and tools such as Jira or Azure DevOps
- Interest in data engineering, site reliability engineering (SRE), or observability platforms
- Security+ certification or interest in pursuing DoD-aligned certifications
Before you apply
- US citizenship required
Full posting text
Leidos is seeking a Data Pipeline / Splunk Engineering Intern with a Computer Science, Data Science, or similar technical background to join our team in support of the SMIT contract , the largest IT services program for the U.S. Navy.
Under the Service Management, Integration, and Transport (SMIT) program, the Leidos team delivers the core backbone of the Navy–Marine Corps Intranet (NMCI), including cybersecurity services, network operations, service desk, and data transport. The team supports the Navy in unifying enterprise data to improve operational visibility, reliability, and decision-making.
The successful candidate will support data ingestion, transformation, and analytics pipelines that feed Splunk dashboards and monitoring solutions used by network operations teams, site reliability engineers (SREs), and executive leadership. This internship provides hands-on experience in data engineering, Python development, enterprise observability, and Agile delivery within a mission-critical environment.
Primary Responsibilities
Support development and maintenance of data pipelines that ingest, transform, and deliver data to Splunk and analytics platforms
Write and maintain Python scripts to process log, metric, and event data
Assist with data validation, normalization, and enrichment to improve data quality and usability
Support onboarding of new data sources from infrastructure, applications, and network systems
Assist with building dashboards and visualizations that consume pipeline-produced data
Perform analysis, trending, and exploratory data analysis to identify insights and anomalies
Collaborate with Splunk developers, SREs, and operations teams to understand data requirements
Participate in Agile ceremonies including daily scrums, sprint planning, and retrospectives
Contribute to backlog items, technical documentation, and process improvements
Work with a geographically distributed (remote) team
Basic Qualifications
Enrolled in a Bachelor’s degree program in Computer Science, Data Science, Software Engineering, Information Systems, or related field.
Experience with Python programming
Coursework or hands-on experience with data processing or data pipelines
Familiarity with structured or semi-structured data (e.g., JSON, CSV, log files)
Strong analytical and problem-solving skills
Ability to work collaboratively and learn in a fast-paced technical environment
Holds or has ability to obtain a Secret Level security clearance
US citizenship required
GPA of 3.0 or higher
Preferred Qualifications
Exposure to Splunk or other log analytics / observability platforms
Experience with data visualization tools or libraries (e.g., Splunk dashboards, matplotlib, Plotly, Power BI, Tableau)
Familiarity with REST APIs and data ingestion patterns
Exposure to Linux environments or command-line tooling
Experience with version control systems such as Git
Familiarity with Agile development and tools such as Jira or Azure DevOps
Interest in data engineering, site reliability engineering (SRE), or observability platforms
Security+ certification or interest in pursuing DoD-aligned certifications
If you're looking for comfort, keep scrolling. At Leidos , we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
October 7, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $48,100.00 - $86,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Originally posted on Himalayas