Data Engineer — Government BI & Analytics Platform
CGS Federal (Contact Government Services)
United States
Vor Ort
USD 100.000 - 130.000
Vollzeit
14 Tage+
Bewerbungsgenerator
Eine komplette Bewerbung in einer Minute — maßgeschneiderter Lebenslauf und Anschreiben, fertig zum Versenden.
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Benefits dieser Stelle
Health, Dental, and Vision
Life Insurance
401k
Flexible Spending Account
Paid Time Off
Zusammenfassung
A leading government services provider in the United States is looking for a skilled Data Engineer to join their Business Intelligence Department. This role involves developing data pipelines for federal customers, automating processes, and collaborating within an Agile team. Ideal candidates have over 7 years of IT experience, proficiency in data manipulation with languages such as Python, and a strong understanding of big data solutions. The company offers a supportive environment and opportunities for professional growth.
Qualifikationen
Must be a US Citizen and able to obtain a Public Trust Clearance.
Experience with developing data pipelines from structured and unstructured data.
Demonstrated ability to communicate technical terms to non-technical audiences.
Aufgaben
Develop comprehensive data strategies to support data analytics.
Write code for performance and reliability of data processing.
Collaborate with program management on requirements.
Kenntnisse
Data pipeline development
Agile/Scrum methodologies
Coding for data extraction
Process automation
Lean-agile engineering principles
Cross-functional collaboration
Ausbildung
7+ years IT experience
Experience in data pipelines
Proficiency in Python, R, SQL, SAS
Knowledge of big data tools
Experience with PostgreSQL
Tools
Git
Tableau
PowerBI
Jobbeschreibung
A leading government services provider in the United States is looking for a skilled Data Engineer to join their Business Intelligence Department. This role involves developing data pipelines for federal customers, automating processes, and collaborating within an Agile team. Ideal candidates have over 7 years of IT experience, proficiency in data manipulation with languages such as Python, and a strong understanding of big data solutions. The company offers a supportive environment and opportunities for professional growth.
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