Sr. Full Stack Engineer Engineering - Fairfax, VA at Geebo

Sr. Full Stack Engineer

Description Offering Hybrid work schedules for fully cleared Full Stack Software Engineers to work on cutting edge technologies like machine learning, large language models (LLMs) to do natural language processing (NLP), optical character recognition (OCR) for pattern recognition, mission analysis and workflow automation and much more.
In this role, you will have the opportunity to embrace and solve some of the toughest technical challenges for United States Intelligence agency customers and mission, specifically surrounding big data and being able find the key intelligence answers while sifting through volumes of classified and open-source data.
All while being able to strike a work-life balance with the flexible work schedules (3 days onsite & 2 days remote) hybrid or part time (24 hours a week onsite).
We are looking for top technical talent in software engineering who can think outside the box and help to solve critical technical challenges for the Intelligence community mission, while also affording the individual flexibility to support multiple programs or conduct internal research or development or support solutioning for business development activities during the days when supporting remotely.
This ideal mix and hybrid role will allow for mission impact, job satisfaction, career growth, working multiple programs and varied technical challenges, while affording you the flexibility needed for life.
Come be part of a small elite software group within Leidos where you are valued for your technical skill sets, afforded flexibility, and compensated and incentivized based on outcomes.
We have an IMMEDIATE NEED for a Full Stack/ETL Developer to provide Agile DevOps support to mission critical systems.
On this program, you will have the opportunity to leverage standard and custom tools for Extract, Transform and Loading of data between databases for the customer.
The role requires the development of custom code/scripts to quickly extract, triage and exploit data across domains and data.
This position will serve as the Senior Software Developer of a group of ETLs supporting enterprise requirements and relaying feedback to team.
Primary
Responsibilities:
An ETL Developer is responsible for designing the data storage system for the enterprise and is charged with testing it before it goes live.
Required to read, analyze and digest what the enterprise want to accomplish with its data and design the best possible ETL 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.
Provide scripting support to enhance dataset access solutions.
Hold meetings with PMO and enterprise stakeholders.
Serve as a functional lead for ETL team.
Basic
Qualifications:
A must have minimum of 8 years of experience with data modeling.
Able to establish database designs in various forms to include star and snowflake schemas.
Extensive experience with relational databases, such as MySQL, that utilize SQL queries.
Extensive ETL/Data Integration experience using Pentaho, Shell Scripting, Python, Ruby on Rails, Elastic and Neo4J.
Must have previous supervising experience.
Candidate must have a Bachelors with 12-15 years of relevant experience or Masters with 10-13 years of prior relevant experience.
Will consider experience in lieu of a degree.
Clearance/Citizenship Candidate must be US Citizen.
Candidate must have an active TS/SCI with Polygraph Pay Range:
Pay Range $118,300.
00 - $182,000.
00 - $245,700.
00The 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.
Recommended Skills Agile Methodology Big Data Business Development Data Integration Data Modeling Databases Estimated Salary: $20 to $28 per hour based on qualifications.

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