Top Secret/SCI Data Architect - Cloud & ETL Specialist

Probity Inc.; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Probity Inc. is seeking a data/engineering professional to support data acquisition, exploitation, engineering, and management tasks across data engineering, software engineering, security engineering, DevOps, application development, data science, and program management.

You will collaborate across organizational boundaries including customer staff and external stakeholders. Qualifications include strong cloud and data-management experience, OS diversity (Windows, Linux, MacOS), AWS expertise,

Qualifications

• Demonstrated experience with cloud infrastructure and data management.
• Demonstrated experience with multiple OS environments including Windows, Linux, and MacOS.
• Demonstrated experience with cloud environments, including AWS.
• Demonstrated experience with development environments including AWS, Hadoop distributed file system (HDFS), Cloudera, Spark, Presto, SQL, and NoSQL.
• Demonstrated experience conducting data processing activities.
• Experience working with Python
• Demonstrated experience building executing ETL pipelines
• Demonstrated experience with integrating data flows with industry standard systems such as Niagra Falls
• Ability to work independently in a fast-paced environment and be a proactive problem solver
• Experience providing clear and concise communications for both technical and non-technical audiences

Responsibilities

• Communicate and collaborate across organizational boundaries, to include other contractor teams, Customer staff and external stakeholders.

Skills

Cloud infrastructure

OS environments (Windows, Linux, MacOS

AWS

Data processing

Python

ETL pipelines

Independent work

Clear communications

Targeting workflows

LLMs / agentic workflows

Neo4j

Hard target mission area

Niagara Falls data flows

Tools

AWS

HDFS

Cloudera

Spark

Presto

SQL

NoSQL

Niagara Falls

Job description

Probity Inc. is seeking a data/engineering professional to support data acquisition, exploitation, engineering, and management tasks across data engineering, software engineering, security engineering, DevOps, application development, data science, and program management.

You will collaborate across organizational boundaries including customer staff and external stakeholders. Qualifications include strong cloud and data-management experience, OS diversity (Windows, Linux, MacOS), AWS expertise,