Software Developer ( R-00063588 )
Leidos is seeking a Software Engineer for a position located in the Reston, VA area. This position requires an active TS/SCI with Polygraph in order to be considered.
The SE will support a business analytic unit, responsible for ingesting, analyzing, parsing and conditioning data to populate a common data layer using modern DevOps principles, and creating efficient data structures to support data science activities, which feed into data points that assist executive leadership with executing tactical and strategic business decisions. There is a significant commitment to invest in business analytic capabilities that enable data driven decision-making at the executive and working levels. Supporting this requires the aggregation, modeling, and fusing of disparate data types from diverse business functions into a single data repository.
The Software Engineer will work closely with members of the business analytic unit to support identified data needs and coordinate with a data services team to ensure the proper population of business data in the target data science environment. Software Engineer support for the business analytic team will include:
Creation of data ingestion workflows to populate a common data layer with a standard formatted data product. Using the data ingestion framework provided by the data services team to streamline the addition of new data sets to the common data layer. Maintaining the data pipeline supporting analytic capabilities developed by the business analytic team to ensure that data continues to flow into the system on a reliable basis and in concert with the frequency in which source data is updated. Creation of efficient data structures, in line with the data services team’s best practices that can be used to streamline access to common business and analytical functions. Providing technical support to members of the business analytic team; applying knowledge gained from interaction with users to improve and advance the analytic environment by engaging with the environment DevOps team to ensure evolving needs/capabilities are being captured and developed.
Requires BS degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience. May possess a Doctorate in technical domain..
Demonstrated experience with Python programming
Demonstrated experience with Java programming
Demonstrated experience with General Linux computing and advanced bash scripting
Demonstrated experience with AWS services such as RDS, S3, and EC2
Demonstrated experience constructing complex multi-data source SQL queries on a variety of relational database technologies, for example, Oracle, PostgreSQL, MySQL, etc.
Demonstrated experience defining and implementing robust and scalable data structures, e.g. SQL DDL, to support centralized data repositories that enable data science and data analytic activities
Demonstrated experience with Code repositories and build/deployment pipelines, specifically using Jenkins and/or Git
Demonstrated experience developing data pipelines to bring data into a central environment in support of multi-member teams comprised of data scientists and data analysts
Demonstrated experience with Apache Hadoop and/or Apache Spark stack for big data processing
Demonstrated experience with NiFi
Demonstrated experience with Docker, Kubernetes, and/or other similar container frameworks
Demonstrated experience with Avro, Parquet, and/or similar advanced data storage formats
Demonstrated experience with Tableau, Apache Superset, and/or other similar data visualizations tools