Data Engineer - Build Scalable Federal Data Pipelines

Accenture-Federal-Services-2; Fort Belvoir (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

Accenture Federal Services is seeking a Data Engineer to develop stages of distributed parallel data processing pipelines, including configuring data connections, parsing, normalization, mapping, enrichment, and integration with data analytics.

You will operate and maintain the data processing pipelines, follow agile methodologies applied to the data engineering parts of the SDLC, and update technical documentation such as SDDs, SOPs, and TTPs, along with training material.

Qualifications

• 5 years of data engineering with STEM Master’s OR 7 years with STEM Bachelor’s.
• 5 years of experience with distributed parallel streaming and batch data processing pipelines.
• 5 years of experience with Python, Java, or other programming languages.

Responsibilities

• Operate and maintain the data processing pipelines in line with platform availability requirements; apply agile SDLC to data engineering tasks.
• Update technical documentation such as system design documents (SDD), standard operating procedures (SOPs), and training materials.

Skills

Data engineering

Distributed processing

Python/Java

Education

Master's degree in STEM

Bachelor's degree in STEM

Job description

Accenture Federal Services is seeking a Data Engineer to develop stages of distributed parallel data processing pipelines, including configuring data connections, parsing, normalization, mapping, enrichment, and integration with data analytics.

You will operate and maintain the data processing pipelines, follow agile methodologies applied to the data engineering parts of the SDLC, and update technical documentation such as SDDs, SOPs, and TTPs, along with training material.