Job Responsibilities:
- Complete development efforts across data pipeline to store, manage, store, and provision to data consumers
- Partner with data scientists, data architects, and federal stakeholders to deploy AI/ML models in production
- Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices
- Write code to ensure the performance and reliability of data extraction and processing
- Support continuous process automation for data ingest
- Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
- Work with program management and engineers to implement and document complex and evolving requirements
- Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork
- Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists
Required Skills:
- Must be a US Citizen
- Must be able to obtain a Public Trust Clearance
- 7+ years of IT experience including experience in working with modern cloud data warehouse technologies (Redshift experience required)
- Experience with setting up, monitoring, and maintaining Redshift database instance
- Experience with designing table models using star or snowflake schemas
- Experience with query optimization for data aggregation and report generation within Redshift data warehouse
- Experience with ingesting data of various types into the Redshift data warehouse
- Proficiency developing ETL processes, and performing test and validation steps
- Proficiency to manipulate data (Python, R, SQL, SAS)
- Strong knowledge of big data analysis and storage tools and technologies
- Strong understanding of the agile principles and ability to apply them
- Experience working inside the AWS ecosystem
- Experience with relational databases (e.g., PostgreSQL)
- Work comfortably in version control systems (e.g., Git)
Desired Skills:
- Experience creating and consuming APIs
- Candidates will be given special consideration for extensive experience with Python
- Ability to develop visualizations utilizing Tableau or PowerBI
- Experience in developing Shell scripts on Linux
- Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions
- Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences
- Experience with AI/ML-specific tools and platforms
- Experience in one of the following areas: NLP, data provenance, LLMs/RAG, or deep learning
- A passion for staying updated with the latest advancements in AI/ML and data engineering
Job Type: Full-time
Pay: $80,000.00 - $140,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible schedule
- Health insurance
- Health savings account
- Paid time off
- Vision insurance
Compensation package:
- Yearly pay
Experience level:
- 7 years
Schedule:
- 8 hour shift
Application Question(s):
- Are you a US Citizen?
Work Location: Remote