Data Engineer for Government BI & Data Pipelines

CGS Federal (Contact Government Services); Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health, Dental, and Vision

Life Insurance

401k

Flexible Spending Account

Paid Time Off

Job summary

A federal contractor in Chicago is seeking a passionate Data Engineer to support an expanding Data Analytics platform. You'll develop data pipelines and work in an Agile team, emphasizing collaboration and customer service excellence. The ideal candidate will have over 7 years of IT experience, proficiency in languages such as Python/R/SQL, and the ability to manipulate complex datasets. This role offers significant professional growth opportunities within a supportive environment.

Qualifications

• Must have experience with developing data pipelines from structured and unstructured data.
• Proficiency in ETL processes and validation steps is required.
• Strong knowledge of big data analysis and storage tools is essential.

Responsibilities

• Develop data pipelines to manage and provision data.
• Collaborate within an Agile team to follow best practices.
• Implement complex and evolving requirements as per program management.

Skills

Agile/Scrum collaboration

Data pipeline development

Performance and reliability coding

Data automation

Lean-agile principles

Cross-functional teamwork

Education

Must be a US Citizen

Must be able to obtain a Public Trust Clearance

7+ years of IT experience

Proficiency in Python, R, SQL, SAS

Tools

PostgreSQL

Git Repositories

Tableau

PowerBI

Job description

A federal contractor in Chicago is seeking a passionate Data Engineer to support an expanding Data Analytics platform. You'll develop data pipelines and work in an Agile team, emphasizing collaboration and customer service excellence. The ideal candidate will have over 7 years of IT experience, proficiency in languages such as Python/R/SQL, and the ability to manipulate complex datasets. This role offers significant professional growth opportunities within a supportive environment.