Full Stack Developer

Leidos Intelligence Group is seeking a technical Full Stack Developer with DevOps cloud (AWS) and infrastructure experience. Successful candidates will have hands-on expertise using Python SQL Terraform cloud experience (primarily AWS). This position is supporting infrastructure not ETL work.

Primary Responsibilities:
The Sponsor supports analysts through the provision of large datasets methodologies and data visualizations to address pressing intelligence questions. The Sponsor requires support developing and maintaining a cloud-based data environment to transport store extract transform and load (ETL) and disseminate data solutions. The Sponsor needs experienced support in data engineering cloud architecture and application development. The work includes engaging regularly with data scientists analysts and managers. The Developer will assist with strategic planning and oversee implementation of the Sponsors cloud-based data environment to include mapping of data sources and access controls. They will develop code data models and documentation to Sponsor standards; provide systems administration and programming support for ETL processes and data infrastructure efforts; and train and conduct knowledge transfer to team members on issues and technologies related to Sponsor ETL process and administrative duties. They will coordinate with external data and platform providers to ensure the smooth functioning of the Sponsors systems and data flows and to accomplish any needed changes and coordinate with experts to assist with technical aspects required to acquire new datasets or data management technologies for inclusion in the Sponsors environment. They will also support the cross-domain transfer and integration of data.

Basic Qualifications:

• Must have a TS/SCI with Poly to be considered.
• Requires a Bachelors degree and minimum 12 years of prior relevant experience or Masters with minimum10 years of prior relevant experience.
• Demonstrated experience with AWS cloud services including long-term storage options and cloud-based database services such as Elastic MapReduce (EMR).
• Demonstrated experience with SQL database structures and mapping between SQL databases.
• Demonstrated experience with database architecture performance design methodologies and system-tuning recommendations. Preference for familiarity with Glue Hive and Iceberg or similar
• Demonstrated experience with Python Bash and Terraform
• Demonstrated experience with DevSecOps solutions and tools
  

Preferred Qualifications:

• Demonstrated experience with the Sponsors data environment and on-premises compute structure.
• Demonstrated experience with Data Quality and Data Governance concepts and experience.
• Demonstrated experience maintaining supporting and improving the ETL process through the implementation and standardization of data flows with Apache Nifi and other ETL tools.
• Demonstrated experience with Apache Spark
• Demonstrated experience implementing CI/CD pipelines using industry standard process
• Demonstrated experience in large-scale data migration efforts.
• Demonstrated experience serving as a technical liaison between system engineers data engineers data scientists analysts and non-technical managers and personnel.

Original Posting:

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:

The Leidos pay range for this job level is a general guideline onlyand 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.