As 202 Group grows, we seek an experienced technical resource to optimize and maintain our tech stack and analytical products. You will lead the optimization of our processes to improve and standardize the prototypes the technical delivery team builds. You will own the backend architecture as an essential member of the tech team, participating in all planning decisions including things like AI/ML model selection and execution.
Responsibilities:
- Create and maintain optimal data pipeline architecture
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL/NoSQL and AWS technologies
- Build and optimize analytics tools that utilize the data pipeline to provide actionable insights
- Help with the selection and execution of ML/AI/NLP tasks
Qualifications:
- Fluent in python and/or R (other languages a plus)
- Advanced working SQL/NoSQL knowledge
- Experience building and optimizing data pipelines, architectures, and data sets
- Experience with Cloud environments
- Experience with agile methodologies
- Experience working with APIs
- 3-5 years’ work experience
- Undergraduate degree in a quantitative field
- Commitment to self-improvement
- Care for the quality of your work and the wellbeing of those around you
- US Citizen
Nice to have:
- Aerospace-defense and/or federal government knowledge and experience
- Interest in learning 202 Group’s subject matter expertise
- Some AI/ML experience
- Graduate degree in a quantitative field
- Parallel computing experience, e.g., spark
- Linux/Unix administration and scripting
- Experience with Graph theory/databases
- Experience in administering software development platforms, e.g., Github, Gitlab etc.
- Familiarity with web design tools, e.g., JavaScript, CSS, html, LaTex etc.
- Security clearance