Splunk Data Analytics SME

Leidos is seeking a Splunk Data Analytics SME to be part of the mission to optimize data flow and enhance the analysis of unstructured and semi-structured data within high-performance computing environments.  Join one of our high performing teams responsible for leveraging advanced analytical techniques and tools to support high-value use cases, ensuring effective data ingestion, processing, and visualization through Splunk, supporting the Social Security Administration (SSA) and their mission to meet the changing needs of the public, positively impacting at least 65 million American lives per month.  We are a team of forward-looking professionals in need of a strong candidate with these key required skills:  Deep understanding of Splunk architecture, proficiency in using Splunk's advanced features, such as dashboards, alerts, and reports, strong analytical skills to interpret complex data sets, identify trends, and derive actionable insights.

*** Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.

If this sounds like a mission you want to be a part of, keep reading!

TEAM CULTURE

Your passion and values might be a good fit for our teams if you answer “yes” to the following questions:

• Are you looking for a company that puts employees first, with a focus on career, flexibility, and well-being?
• Do you enjoy collaborating with colleagues and teammates and believe that the best ideas are fostered in an inclusive environment?
• Are you searching for a team with a strong sense of ownership, urgency, and drive for daily mission success?
• Are you comfortable with proactive outward communication and technical leadership?
• Do you enjoy being a catalyst, solving complex problems, and providing innovative solutions?
• Do you have the flexibility, creativity, and resilience to pivot the mission for success?
• Do you have the courage to make tough ethical decisions with pride, transparency, and respect?

MENTORSHIP & CAREER GROWTH

Our teams are dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Experienced team members will be assigned to new hires for one-on-one mentoring, collaborative reviews, and coaching on customer engagement to help each new hire successfully onboard and demonstrate their skills. Projects and tasks are assigned in a way that leverages your strengths and will help you further develop your skillset.

DAY TO DAY RESPONSIBILITIES

Every position we take is more rewarding when you know the why behind it. Know your work makes a difference to support those who need it most. If your passion is enabling life changing service to those around, you this is the place for you. Find you passion in a team environment where all members are valued regardless of contractor or employee status.   Find your “Why” with us and take your place in our Leidos Family!!

• Create consolidated data sets that conform to the Common Information Model (CIM) from various sensor data sources, ensuring they are aggregated and searchable.
• Develop capabilities to aggregate sensor data based on tangible assets (hardware, software, and data) and information systems with business purposes.
• Implement tagging for new data to fit into the Re-Usable Data Assets model for ingestion by IO and CDM dashboards.
• Translate key-value pairs from sensor tools into the required format for data consumption.
• Transform existing data into formats suitable for ingestion by ServiceNow and CDM Elastic files.
• Design and implement data pipelines connecting data sources to the Re-Usable Data Asset model.
• Establish connections between Splunk and the Re-Usable Data Asset model, as well as with ServiceNow and CDM Elastic.
• Develop integrators between Splunk, ServiceNow, and CDM Elastic.
• Build out data warehouses and data models, including tagging data, establishing data pipeline connections, and developing integrations.
• Aggregate various data types and create key-value pairs, including ETL coding and dashboard development.
• Configure notable event actions, action menus, and adaptive responses within Splunk.
• Provide recommendations for data onboarding and normalization processes.
• Maintain strong knowledge of security risk procedures, authentication technologies, and security attack patterns.
• Develop, evaluate, and document specific metrics for management purposes.
• Create dashboards to monitor traffic volumes, response times, errors, and warnings across data centers.
• Monitor web portals, log files, and datab