Elite Data Architect — AWS, ETL & Data Pipelines

NewGen Technologies; McLean (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

NewGen Technologies in McLean, VA, is seeking a versatile data and software engineering professional to support data acquisition, processing, and operations across multiple disciplines including data engineering, DevOps, security, and AI-enabled analytics.

You will collaborate with customer and contractor teams, communicate complex technical concepts to non-technical stakeholders, and contribute to mission-critical data solutions in a fast-paced environment.

Qualifications

• TS/SCI FSP Clearance required.
• Demonstrated experience with cloud infrastructure and data management.
• Experience with Windows, Linux, and MacOS.
• Experience with AWS cloud environments.
• Experience with Hadoop ecosystem: HDFS, Cloudera, Spark, Presto, SQL, NoSQL.
• Proven data processing activities.
• Experience with Python.
• Experience building and executing ETL pipelines.
• Experience integrating data flows with industry standard systems such as Niagara Falls.
• Ability to work independently in a fast-paced environment and be a proactive problem solver.
• Ability to communicate clearly to technical and non-technical audiences.

Responsibilities

• Support data engineering, operations, software, security, DevOps, application development, data science, and program management teams.
• Communicate and collaborate across organizational boundaries, including customer staff and external stakeholders.
• Contribute to data acquisition, exploitation, engineering, and management tasks.

Skills

Cloud infrastructure

Data management

Python

ETL pipelines

Communication

Independent work

Problem solving

Data processing

Tools

AWS

HDFS

Cloudera

Spark

Presto

SQL

NoSQL

Niagara Falls integration

Job description

NewGen Technologies in McLean, VA, is seeking a versatile data and software engineering professional to support data acquisition, processing, and operations across multiple disciplines including data engineering, DevOps, security, and AI-enabled analytics.

You will collaborate with customer and contractor teams, communicate complex technical concepts to non-technical stakeholders, and contribute to mission-critical data solutions in a fast-paced environment.