Accenture Federal Services is looking to solve the problem of allowing government customers to more rapidly make life-saving decisions in real time by integrating data from disparate sources to provide real-time operational awareness of medical capabilities.
Requirements
- 5 years of experience in engineering teams in data engineering or machine learning projects
- 3 years of experience developing and optimizing ETL pipelines.
- 3 years of combined experience with various Python libraries such as, but not limited to: PySpark or Pandas or NumPy
- Experience building pipelines and ontologies within Palantir Foundry.
- Strong understanding of networking and API development.
Responsibilities
- Drawing on your experience in data engineering and Palantir Foundry, you will help drive our high-visibility efforts to leverage machine learning models that translate data into real-time decisions.
Other
- An active Secret clearance with ability to obtain TS/SCI federal security clearance
- Exceptional communication and presentation skills
- Strong analytical and problem-solving abilities
- Ability to translate technical concepts for non-technical stakeholders
- Proven ability to work in fast-paced, dynamic environments
