Software Developer (Systems Software) at GRVTY – Chantilly, Virginia

What Impact Youll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What Youll Be Owning

GRVTY is seeking a Software Developer (Systems Software) with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. The Sponsor is seeking technical support in developing a data driven technical stack with associated analytic microservices to support the Sponsor organizations identity data strategy. The Sponsors office serves as lead for a data-oriented service with cross-organizational equities. The requirements will inform ongoing application development for the Sponsors identity data environment. The main goals of the Sponsor is to develop appropriate extract, transform, load services into established development and production environment, as well as relevant and validated analytic models to transform the organizations identity data management.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Demonstrated experience actively participating in data modeling project teams.
• Demonstrated experience translating business needs into actionable technical requirements.
• Demonstrated experience identifying, analyzing and implementing scalable solutions for optimizing operational efficiency of production systems and processes.
• Demonstrated experience programming with Python.
• Demonstrated experience using data analytic Python packages including Scikit Learn and Pandas.
• Demonstrated experience building and maintaining CI/CD pipelines with source control software such as Git or GitHub.
• Demonstrated experience conducting advanced modeling and data analysis.
• Demonstrated experience applying varied mathematical, statistical, and data analytics techniques.
• Demonstrated experience developing models in support of geographic analysis.
• Demonstrated experience using the scientific method such as setting up hypotheses, testing them through experimentation, evaluating results.
• Demonstrated experience tying testing to quantitative metrics.
• Demonstrated experience gathering and analyzing requirements.
• Demonstrated experience with configuration management.
• Demonstrated experience with performance measurement and metrics.
• Demonstrated experience actively participating in data modeling project teams.
• Demonstrated experience translating business needs into actionable technical requirements.
• Demonstrated experience developing custom database scripts, queries, and graphical interfaces.
• Demonstrated experience designing and optimizing logical data architectures.
• Demonstrated experience conducting data extraction, parsing, and manipulation and storage.
• Demonstrated experience cleaning labeled data in preparation for use in machine learning and statistical approaches.
• Demonstrated experience programming with object oriented languages such as Python.
• Demonstrated experience designing, building, and deploying production read data pipelines incorporating SQL and NoSQL backends.
• Demonstrated experience building and maintaining CI/CD pipelines with source control software such as Git or GitHub.
• Demonstrated experience using continuous build and delivery software such as Jenkins.
• Demonstrated experience using issue management software such as Jira.
• Demonstrated experience using documentation and collaboration software such as Confluence.
• Demonstrated experience with automated testing.
• Demonstrated experience with deployment of infrastructure or configurations.
• Demonstrated experience with cloud resources such as AWS or Azure.
• Demonstrated experience with distributed computation.
• Demonstrated experience creating parallel processing operations by managing the number of processors used in an operation given memory limitations.
• Demonstrated experience automating data preparation methods.
• Demonstrated experience creating a CLI for turnkey operation from a non-technical user.
• Demonstrated experience designing, implementing, and leveraging APIs.

What Would Be Nice to Have

• Demonstrated with machine learning approaches working with both labeled (supervised approach) and unlabeled (unsupervised approach) data.
• Demonstrated experience working on team managed using an Agile development process.
• Demonstrated experience with the development of new analytic systems.
• Demonstrated experience handling encrypted data or working with encrypted systems.
• Demonstrated experience creating, drafting, and reviewing technical program documentation.
• Demonstrated experience working on team managed using an Agile development process.
• Demonstrated experience with the development of new analytic systems.
• Demonstrated experience handling encrypted data or working with encrypted systems.
• Demonstrated experience creating, drafting, and reviewing technical program documentation.