Data Architect — TS/SCI Poly, Cloud & Data Ops

Node.Digital LLC; McLean (VA); On-site; USD 120,000 - 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 LLC in McLean, VA is seeking a highly skilled data/DevOps engineer with active TS/SCI FS Poly. You will join a multi-disciplinary team supporting data engineering, software engineering, security engineering, DevOps, application development, data science, and program management for data acquisition, exploitation, engineering, and management tasks.

The role requires experience with cloud infrastructure (AWS), multi-OS environments (Windows, Linux, MacOS), and building ETL pipelines,

Qualifications

• 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 with customer staff and external stakeholders.
• Support data acquisition, exploitation, engineering, and management tasks.

Skills

Data processing

Python

ETL pipelines

Niagra Falls data flows

Tools

AWS

Hadoop (HDFS)

Cloudera

Spark

Presto

SQL

NoSQL

Windows

Linux

MacOS

Job description

Node.Digital LLC in McLean, VA is seeking a highly skilled data/DevOps engineer with active TS/SCI FS Poly. You will join a multi-disciplinary team supporting data engineering, software engineering, security engineering, DevOps, application development, data science, and program management for data acquisition, exploitation, engineering, and management tasks.

The role requires experience with cloud infrastructure (AWS), multi-OS environments (Windows, Linux, MacOS), and building ETL pipelines,