Data Engineer

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

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

AFS is in search of a Data Engineer to develop stages of distributed parallel data processing pipelines, which includes but is not limited to:

• configuring data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics

Responsibilities:

• Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform Follow agile methodologies when applied to the data engineering part of the data engineering part of the system development life cycle (SDLC)
• Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material

Required Qualifications:

• 5 years of experience as a data engineer with a Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) OR 7 years of experience as a data engineer with a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM)
• 5 years of experience with distributed parallel streaming and batch data processing pipelines
• 5 years of experience with Python, Java, or other programming languages