Data Architect: Cloud ETL & Data Pipelines (TS/SCI)

Node.Digital; McLean (VA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Basic Life

Health Saving Account

401K matching

Three weeks of PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital is seeking a Data Architect in McLean, VA to support a multi-disciplinary team across data engineering, software engineering, security engineering, DevOps, and program management. Must possess an active TS/SCI FS Poly and contribute to data acquisition, exploitation, and management tasks for mission-critical operations.

The role requires extensive cloud and data management experience, including AWS, Hadoop, Cloudera, Spark, Presto, SQL, and NoSQL, with strong Python ETL capabilities

Qualifications

• Experience conducting data processing activities.
• Experience with ETL pipelines.
• 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

• Support data acquisition, exploitation, engineering, and management tasks.
• Collaborate across contractor teams and Customer staff.
• Work on data engineering, software engineering, security engineering, DevOps engineering, and data science initiatives.

Skills

Data processing

Python

ETL pipelines

Independent in fast-paced env

Clear technical communication

Tools

AWS

Hadoop

Cloudera

Spark

Presto

SQL

NoSQL

Windows

Linux

MacOS

Niagra Falls

Job description

Node.Digital is seeking a Data Architect in McLean, VA to support a multi-disciplinary team across data engineering, software engineering, security engineering, DevOps, and program management. Must possess an active TS/SCI FS Poly and contribute to data acquisition, exploitation, and management tasks for mission-critical operations.

The role requires extensive cloud and data management experience, including AWS, Hadoop, Cloudera, Spark, Presto, SQL, and NoSQL, with strong Python ETL capabilities