11 beste Stellen als data engineer in eschborn, he – aktuell auf Personalsuche

Cloud Engineer DevSecOps
General Dynamics Information Technology —Wiesbaden
- 107.744 € – 143.750 € pro Jahr
- Azure
- Informatik
- AWS
- Kostenbeteiligung am Arbeitsweg
1 Tag
(Senior) AI Engineer (m/w/d)
cbs Corporate Business Solutions GmbH —Raunheim
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Forschungserfahrung
- Master
- Weiterbildungsprogramme
Direkt bewerben
7 Tage
Senior Consultant Data Platforms Engineer - Databricks (Financial Services) (w/m/d)
EY —Frankfurt am Main
Senior AI Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- Master
Direkt bewerben
Cloud Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- AWS
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Direkt bewerben
Werkstudent MLOps-Plattform & Cloud-Native Infrastruktur (m/w/d)
Atos —Frankfurt am Main
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Linux
- Python
- Flexible Arbeitszeiten
Solution Consultant – Finance & Controlling Applications/SAP FI (f/m/d)
Henkell & Co. Sektkellerei KG —Wiesbaden
- Vollzeit
- Hybrides Arbeiten
- Wirtschaft
- Rechnungswesen
- Flexible Arbeitszeiten
Senior Software Engineer (m/w/d)
Alexander Thamm GmbH —Frankfurt am Main
- Vollzeit
- Informatik
- Englisch
- AWS
- Weiterbildungsprogramme
Direkt bewerben
8 Std.
DevOps Consultant Kubernetes (m/w/d)
Devoteam Innovative Tech Germany —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Analysefähigkeit
- Linux
Direkt bewerben
Warehouse Foreman
Lufthansa Group Digital Hangar GmbH —Frankfurt am Main
- 55.200 € – 87.400 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Softwareentwicklung
- Agile
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
8 Std.
Junior Business Analyst*in - Digitale Transformation
Union Asset Management Holding AG —Frankfurt am Main
- Teilzeit
- Hybrides Arbeiten
- Azure
- Datenanalyse
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
10 Std.

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Cloud Engineer DevSecOps

General Dynamics Information Technology -
Wiesbaden

Jetzt bewerben

Details zur Stelle

107.744 € – 143.750 € pro Jahr
vor 1 Tag

Leistungen

Kostenbeteiligung am Arbeitsweg

Qualifikationen

CI/CD
Cloud-Infrastruktur
Azure
Cloud-Architektur
Informatik
Kubernetes
Ansible
Konfigurationsmanagement
Google Cloud Platform
Bash
AWS
Docker
Bachelor
Cloud-Entwicklung
Terraform
Scripting
Agile
Erfahrung in der IT
S3
Linux
CompTIA Security+
Python
PowerShell
Informationstechnologie

Vollständige Stellenbeschreibung

Clearance Level

Secret

REQ#: RQ224661

Public Trust: None

Requisition Type: Regular

Your Impact

Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.

Job Description

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Cloud Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

MEANINGFUL WORK AND PERSONAL IMPACT

GDIT is seeking a skilled Cloud Engineer DevSecOps with expertise in AWS, Azure, and Google Cloud to provide engineering support for our Enterprise Mission Information Technology Services (EMITS) program. This role supports critical missions for U.S. Army Europe and AFRICOM, focusing on cloud environments and data engineering solutions.

How a Cloud Data Engineer will make an impact: As a Cloud Data Engineer, you will play a key role in implementing and optimizing Google Cloud Platform (GCP)environments for our customers, while also contributing to projects involving AWS and Azure. You will leverage your knowledge in Google Cloud tools and services to design scalable, secure, and cost-effective solutions, ensuring seamless integration across multi-cloud platforms.

Your responsibilities will include:

Architecting, analyzing, and supporting modern cloud environments, with a primary focus on a multi-cloud environment team using Google Cloud Platform (GCP), AWS, and Azure cloud platforms.
Utilizing Google Cloud-native tools alongside AWS and Azure services to analyze environments and provide actionable recommendations for cost savings and optimization strategies.
Performing analysis and supporting multiple cloud services, architecture, and storage solutions across Google Cloud, AWS, and Azure platforms.

WHAT YOU’LL NEED TO SUCCEED

Bring your expertise and drive for innovation to GDIT. The Cloud Engineer Senior must have:

Education: Bachelor’s degree in computer science, Information Technology, or a related field.
Experience: 1-2 years of experience working with Google Cloud Platform (GCP), including familiarity with its core services and tools; 3-4 years of hands-on experience in a cloud engineering role, with AWS and/or Azure cloud platforms.

Technical skills:

Proven experience with Infrastructure as Code (IaC) tools, specifically Terraform, for provisioning and managing cloud infrastructure across AWS, Azure, and Google Cloud Platform (GCP).
Hands-on expertise with Ansible for configuration management and automation of IT environments.
Extensive knowledge of modern cloud design and engineering principles, with deep expertise in AWS and Azure ecosystems, and working knowledge of Google Cloud Platform (GCP).
Proficiency in deploying and managing Kubernetes and/or ECS, including container orchestration across multi-cloud environments.
DevSecOps experience, including building and maintaining CI/CD pipelines across cloud platforms.
Proficiency in scripting languages such as Python, Bash, and/or PowerShell for automation and cloud operations.
Strong Linux administration skills.
Superior knowledge of Agile methodologies and iterative development principles in a fast-paced, service-oriented environment.
Candidates should possess the ability to deploy and manage resources across multiple cloud environments using code and Infrastructure as Code (IaC) tools, rather than manual, click-based operations. We value engineers who automate deployments and configurations, ensuring repeatability, scalability, and efficiency without relying on manual processes.

Security clearance level: Must be a U.S. Citizen with an active Secret security clearance.
US citizenship required

Role requirements:

4+ years of experience as a Cloud Analyst/Engineer, with a focus on AWS and/or Azure cloud services.
1-2 years of experience working with Google Cloud Platform (GCP), including exposure to its core services and tools.
Proficiency with AWS, Azure, GCP cloud services, including Amazon S3, and AWS CLI.
Experience with Python, Terraform, and containerization technologies such as Kubernetes and or Docker.

Certifications:

Current DoD 8570 IAT Level II certification (e.g., Security+).
At least one current cloud certification (e.g., AWS, Azure, or Google Cloud).
Must obtain ITIL v5 Foundations certification within 90 days of employment if not already certified.

Must be able to obtain German TESA:

TESA requirements:

A Bachelors degree plus 3 years of recent specialized experience; OR; An Associates degree plus 7 years of recent specialized experience; OR; A major certification plus 7 years of recent specialized experience; OR; 11 years of recent specialized experience.

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#defenseOCONUS
#GDITRecruiting
#GDITArmy

Work Requirements

Years of Experience

4 + years of related experience

may vary based on technical training, certification(s), or degree

Certification

CompTIA Security+ CE | CompTIA - CompTIA

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $107,744 - $143,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Total compensation for international positions varies by tax, social security, and immigration statuses, as well as location. Generally, an international assignment may include allowances, premium uplifts, and/or relocation or transportation benefits, above base salary range noted.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Jetzt bewerben

Erweiterte Suche

data engineer Jobs in eschborn, he

Cloud Engineer DevSecOps

(Senior) AI Engineer (m/w/d)

Senior Consultant Data Platforms Engineer - Databricks (Financial Services) (w/m/d)

Senior AI Engineer (m/w/d)

Cloud Engineer (m/w/d)

Werkstudent MLOps-Plattform & Cloud-Native Infrastruktur (m/w/d)

Solution Consultant – Finance & Controlling Applications/SAP FI (f/m/d)

Senior Software Engineer (m/w/d)

DevOps Consultant Kubernetes (m/w/d)

Warehouse Foreman

Junior Business Analyst*in - Digitale Transformation