GDIT

Data Science and Data Engineering

DataEngineerActiveTS/SCI

$119–161k Washington, District of Columbia, United States FULL TIME
The Brief

“Data Engineer - Active TS/SCI at GDIT. Skills: Data Engineering, AWS Cloud Services, Python, Distributed Computing. Interpret business needs. Select appropriate technologies”

What You'll Achieve.

Ensure seamless data flow; Ensure technical implementations follow quality assurance metrics; Deliver optimal data solutions; Extract meaningful insights; Support data infrastructure needs; Support data-related technical issues; Support raw data; Support expected data; Support deployed applications; Support deployed dataflows; Align with user needs; Align with business objectives; Reflect innovation and growth strategies; Design and launch new features; Solve real world problem sets vital to national security

Industry & Context.

Data Science and Data Engineering
Problems you'll solve

Solve real world problem sets

Eligibility Requirements

Top Secret/SCI clearance, US Citizenship Required, DHS EOD (Entry On Duty)

What They're Looking For.

Must Have

5+ years of experience, Bachelor’s degree or equivalent practical experience, Expertise in distributed computing frameworks, Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments, Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL, Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies, Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka, Familiar with Linux/Unix server environments, Experience with Agile development methodology, Publishing and/or presenting design reports, Coordinating with other team members to reach project milestones and deadlines, Working knowledge with Collaboration tools, such as, Jira and Confluence

Nice to Have

Master’s degree or equivalent experience in a related field, Familiarity and experience with the Intelligence Community (IC), and the intel cycle, Familiarity and experience with the Department of Homeland Security (DHS), Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred), Experience with cloud message APIs and usage of push notifications, Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security, Working knowledge with public keys and digital certificates, Experience with DevOps environments, Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications, Experience with cloud message APIs and usage of push notifications, Specialization in Object Oriented Programming languages, scripting, and databases

What You'll Do.

Interpret business needs

Select appropriate technologies

Implement data governance

Plan and deliver data solutions

Create data pipelines

Maintain data pipelines

Optimize data pipelines

Perform technical analyses

Perform non-technical analyses

Analyze data architecture

Analyze systems architecture

Implement information systems solutions

Identify process improvements

Design infrastructure for scalability

Optimize data delivery

Automate manual processes

Develop data pipelines

Design data pipelines

Support end-to-end solution

Integrate data pipelines with AWS

Extract meaningful insights

Support stakeholder data infrastructure needs

Assist with data-related technical issues

Provide Tier 3 technical support

Define product vision

Communicate product vision

Align with user needs

Align with business objectives

Create product roadmaps

Manage product roadmaps

Partner with government product owner

Partner with product team

Collaborate with data engineering team

Support off-hours deployment

How You'll Work.

Team & Collaboration

Work with key business stakeholders; Work with IT experts; Work with subject-matter experts; Collaborate with the rest of data engineering team; Coordinate with other team members

Communication Scope

Communicate a clear product vision

Process & Methodology

Reach project milestones, Reach project deadlines

Free ATS check

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