Primary Responsibilities
Designing and implementing a large scale ingest system in a big data environment.
Required to read, analyze and digest what the enterprise needs to accomplish with its data and design the best possible ELT process to support those objectives.
Responsible for recommending methodologies to optimize the visualization, organization, storage, and availability of large scale data in support of enterprise requirements.
Participate in software programming initiatives to support innovation and enhancement, using HTML, CSS, JavaScript, Java, Python, SpringBoot, and Hibernate.
Developing and directing software system validation and testing methods using Junit and Katalon
Develop and integrate custom developed software solutions to leverage automated deployment technologies
Develop, prototype and deploy solutions within Commercial Cloud Solutions leveraging Infrastructure platform services
Analyze (though proof of concept, performance, and end-to-end testing) and effectively coordinate Infrastructure needs driven by developed software to meet customer mission needs
Support the Agile software development lifecycle following Program SAFe practices
Use industry leading DevOps tools like GitHub, Jenkins, Unix bash scripting
Document and Perform systems software development, including deployment of build artifacts across different environments leverage GitFlow constructs
Leverage Atlassian tool suite like JIRA and Confluence to track activities
Apply and identify best practices and standard operating procedures
Coordinate closely with team members, Product Owners and Scrum Masters to ensure User Story alignment and implementation to customer use cases
Communicate key project data to team members and build team cohesion and effectiveness.
Hold meetings with PMO and enterprise stakeholders
Basic Qualifications
To be considered, must have an active TS/SCI w/polygraph.
Demonstrated experience performing ETL activities including, but not limited to, parser development and deployment; data flow management; implementing data lifecycle policies; troubleshooting data access issues; and developing data models
Experience with data modeling.
Extensive experience with relational databases, such as MySQL, that utilize SQL queries.
Extensive experience with using Java for data processing, manipulation or querying (SQL or NoSQL)
ETL/Data Integration experience using Spring, NiFi, Kafka, and Elasticsearch.
Experience with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure)
Experience with development leveraging cloud data services (ex: S3, RDS, EFS)
Excellent communication skills (written and verbal)
Experience leading development scrum teams.
Candidate must have a Masters with 15+ years of prior relevant experience. Additional years of experience may be substituted in-lieu of a degree.
Preferred Qualifications
Demonstrated experience using Neo4J
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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
August 20, 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 $154,050.00 - $278,475.00
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.
