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2.820

Python jobs in United States

Database Engineer

Aircall

Madrid
On-site
EUR 65,000 - 85,000
2 days ago
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Remote Linux Engineer: Ubuntu on Next-Gen Silicon

Canonical

Granada
Remote
EUR 50,000 - 70,000
2 days ago
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Senior Server Engineer — Remote (Star Trek Fleet Command)

Scopely

Barcelona
Hybrid
EUR 30,000 - 50,000
2 days ago
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Remote GenAI ML Engineer — Part-Time, High-Impact Problems

Mindrift

Barcelona
Remote
EUR 70,000 - 90,000
2 days ago
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Italian QA Tester / Madrid (on site)

Cognizant

Madrid
On-site
EUR 30,000 - 50,000
2 days ago
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Administrador/a Sistemas Ciberseguridad

Ayesa

País Vasco
Hybrid
EUR 40,000 - 60,000
2 days ago
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AI Platform Engineer — LLMs, RAG & Cloud for E-Learning

Smartmind

Vigo
On-site
Confidential
2 days ago
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Junior Satellite Operations Engineer

Aistech Space

Sant Cugat del Vallès
On-site
EUR 30,000 - 45,000
2 days ago
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Junior Satellite Operations Engineer — Hybrid & Permanent

Aistech Space

Sant Cugat del Vallès
On-site
EUR 30,000 - 45,000
2 days ago
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Principal AI Engineer – Healthcare (Europe)

Cross Border Talents

Madrid
Remote
EUR 70,000 - 90,000
2 days ago
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Técnico/a junior de Observabilidad

NTT DATA Europe & Latam

Alicante
Hybrid
EUR 50,000 - 70,000
2 days ago
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Líder de Proyectos de Analítica de Clientes

Grupo Cooperativo Cajamar

Madrid
Hybrid
EUR 30,000 - 40,000
2 days ago
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1625-160606 Creating materials banks from digital urban mining

CINTECX

Vigo
On-site
EUR 50,000 - 70,000
2 days ago
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SFMC Engineer: Campaign Automation & Data

Fever

Madrid
On-site
EUR 30,000 - 50,000
2 days ago
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SFMC Engineer

Fever

Madrid
On-site
EUR 30,000 - 50,000
2 days ago
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1325-155124 Creating materials banks from digital urban mining

CINTECX

Vigo
On-site
EUR 50,000 - 70,000
2 days ago
Be an early applicant

Barcelona AdTech Data Scientist & ML Engineer

All The Hires

Barcelona
On-site
EUR 45,000 - 70,000
2 days ago
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Data Scientist / ML Engineer

All The Hires

Barcelona
On-site
EUR 45,000 - 70,000
2 days ago
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Senior ML Engineer - Search & LLM Ops

Ravenpack

Marbella
Hybrid
EUR 50,000 - 70,000
2 days ago
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Associate Applied AI Engineer (France) - Orbit Program

Celonis

Madrid
Hybrid
EUR 35,000 - 50,000
2 days ago
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Senior Computer Vision & ML Engineer (Hybrid)

Quercus Technologies

Constantí
Hybrid
EUR 40,000 - 70,000
2 days ago
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Senior ML Engineer — Search & GenAI for Finance

RavenPack

Madrid
Hybrid
EUR 60,000 - 80,000
2 days ago
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Senior ML Engineer - Search & LLM Ops

RavenPack

Madrid
Hybrid
EUR 60,000 - 80,000
2 days ago
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Knowledge Officer

Amaris Consulting

Barcelona
Remote
EUR 50,000 - 70,000
2 days ago
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Ingeniero/a de Validación Electrónica – Navegación Aérea

Neotalent Conclusion

Madrid
On-site
EUR 30,000 - 45,000
2 days ago
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Database Engineer
Aircall
Madrid
On-site
EUR 65,000 - 85,000
Full time
2 days ago
Be an early applicant

Job summary

A leading AI communications platform based in Madrid is looking for a Database Engineer to enhance reliability and scalability in its infrastructure department. You will develop self-service tools, automate best practices in database management, and architect core data infrastructure. The ideal candidate should have over 3 years of experience in database engineering, a proactive approach to automation, and strong communication skills to collaborate across engineering teams.

Benefits

Competitive salary package
Work-life balance
Fast-learning environment
Multicultural team
Opportunities for growth

Qualifications

  • 3+ years of experience in Database Engineering and Infrastructure.
  • Specializing in design, automation, and optimization of distributed data stores.
  • Effective communication with stakeholders regarding incidents and projects.

Responsibilities

  • Design and develop internal platform capabilities using Terraform.
  • Write automation that applies best practices for indexing and schema design.
  • Create observability with preconfigured dashboards in Datadog.
  • Implement automated checks to prevent dangerous operations.
  • Architect and maintain core data infrastructure codebases.

Skills

Database Engineering
Automation
AWS
Terraform
Python
Go
Distributed Data Stores
Observability

Tools

AWS RDS (Postgres+MySQL)
DynamoDB
ElastiCache
OpenSearch
Datadog
GitLab CI
Kubernetes
Job description
Overview

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro provides real-time guidance so teams can scale with confidence.

Aircall is headquartered in Paris with a North American presence in Seattle and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’re a product-driven, execution-focused company with visible impact and rapid AI innovation across multiple product lines.

At Aircall, you’ll join a company in motion. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.

About the Role

We are looking for a Database Engineer with a platform mindset to join our Infrastructure department. In this role, you will move beyond managing tickets or manually tuning SQL queries. You will be a force multiplier and an enabler focused on reliability and scalability, codifying deep database expertise into tools, modules, and platforms that make database management and observability effortless for product engineers. You will build the "Golden Paths" that allow developers to spin up, scale, and monitor databases autonomously, ensuring safety, security, and best practices by default.

The Mission: Make "The Right Way" the "Easy Way" You will abstract the complexity of our data layer. When a developer needs a database, they shouldn’t need to be an expert in AWS parameter groups or replication lag—your tools should handle that complexity for them.

What You'll Do
  • Build Self-Service Tooling: Design and develop internal platform capabilities (using Terraform and automation scripts) that allow engineers to provision and manage their own data resources. Turn complex infrastructure requirements into simple, declarative interfaces for developers.
  • Embed Knowledge into Code: Shift left your database expertise. Write automation that applies best practices for indexing, schema design, and security configurations, effectively embedding your knowledge into the platform.
  • Democratize Observability: Create out-of-the-box observability. Build systems in which databases are preconfigured with the right dashboards, SLIs/SLOs, and alerts in Datadog, making performance visibility automatic.
  • Automate Guardrails: Implement automated checks and policy-as-code (e.g., OPA, Terraform Sentinel) to prevent dangerous operations while enabling safe fast development.
  • Evolve the Stack: Architect and maintain core data infrastructure codebases for AWS RDS (Postgres+MySQL), OpenSearch, ElastiCache and DynamoDB.
  • Educate & Enable: Act as a consultant to engineering teams, promoting database literacy and helping teams leverage the platform you build.
Technical Stack
  • Cloud & IaC: AWS, Terraform (Advanced usage)
  • Scripting/Coding: Python, Go, Bash
  • Data Stores: RDS Postgres, RDS MySQL, DynamoDB, OpenSearch, ElastiCache
  • Observability: Datadog
  • Orchestration: GitLab CI, Kubernetes
A Little About You
  • You have at least 3+ years of experience in Database Engineering and Infrastructure, specializing in design, automation, and optimization of distributed data stores.
  • Enabler: You derive satisfaction from making others more productive.
  • Automation First: You automate manual tasks with scripts or tools.
  • AI First Mindset: You focus on leveraging AI to drive efficiency and innovation.
  • Communication: You can explain complex database constraints to developers and communicate effectively with stakeholders regarding incidents, changes, and projects.
Why Join Us?
  • Key moment to join Aircall in terms of growth and opportunities
  • People matter; work-life balance is important at Aircall
  • Fast-learning environment, entrepreneurial spirit, and strong team
  • 45+ nationalities; cosmopolitan and multicultural mindset
  • Competitive salary package & benefits

DE&I Statement:

Aircall believes in diversity, equity and inclusion as core to our journey. We promote active inclusion to foster belonging for all and are committed to equal opportunities to develop and thrive. We are dedicated to hiring a diverse and multicultural team and encourage applications from traditionally underrepresented backgrounds.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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