14 publicaciones de empleo destacadas de engineer with python en remote (¡Están contratando!)

Senior Data Analytics Engineer
Trafilea —Desde casa
- Tiempo completo
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10h
Sr. Software Engineer - Application Security
Backblaze —Desde casa
Senior/Lead DevSecOps Engineer (Azure, Terraform, Sentinel)
N-iX —Desde casa
Postulación rápida
Senior DevOps / Site Reliability Engineer
N-iX —Desde casa
Postulación rápida
Senior Product Analyst – Application Lifecycle (Argentina)
Lendbuzz —Desde casa
- Tiempo completo
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Sr. AI Security Engineer
Backblaze —Desde casa
Engineering Manager Sr - DF072IO
Coderio —Desde casa
- Por contrato
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Data Engineer (Tableau)
Particle41 —Desde casa
Postulación rápida
Principal Software Engineer - Identity & Access Management
Sezzle —Desde casa
Sr. Developer Productivity Engineer
Backblaze —Desde casa
Senior Business Intelligence Engineer
Avicado —Desde casa
Staff Product Engineer
Counterpart, Inc. —Desde casa
Lead DevOps
Luxoft —Desde casa
Tech Lead
FeverUp —Desde casa
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Senior Data Analytics Engineer

Trafilea -
Desde casa

Postulación rápida

Detalles del empleo

Tiempo completo
Hace 10 horas

Descripción completa del empleo

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own D2C brands (not an agency), with a presence in Walmart, Nordstrom, Amazon, and a strong global footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

We build and scale our own brands.

We invest in AI and automation like few others in eCom.

We test fast, grow fast, and help you do the same.

Be part of a dynamic, diverse, and talented global team.

100% Remote, USD competitive salary, paid time off, and more.

Job Responsibilities

This role sits at the intersection of data engineering, analytics, business intelligence, and machine learning infrastructure. You will architect and scale modern data pipelines, build resilient data models, and ensure the reliability, accuracy, and operational performance of our BI reporting layer and ML platforms.

Key Responsibilities

Pipeline & System Architecture: Architect, scale, and maintain end-to-end ETL/ELT pipelines and Airflow-driven workflows across the full data lifecycle (extraction transformation ML modeling reporting).
Data Modeling & BI Delivery: Design and optimize SQL transformations, datasets, and high-quality data models. Build, centralize, and maintain dashboards and analytical tools to translate business needs into scalable BI solutions.
Data Quality & Governance: Establish strong governance, monitoring, alerting, SLAs, data validation, and anomaly detection. Perform root-cause analysis to ensure high accuracy, reliability, and business trust in metrics.
Machine Learning & Analytics Support: Operationalize ML models in batch/real-time environments and build internal data tools to empower Marketing Science, Analytics, and commercial teams.
Performance & Cost Optimization: Optimize complex SQL queries and large-scale datasets for performance, cost-efficiency, and scalability across the AWS cloud ecosystem.
Stakeholder Collaboration: Partner with cross-functional teams to define and report on core business metrics (e.g., CAC, ROAS, LTV, conversion funnels) to directly guide executive decision-making.

Experience: 4+ years in Data Engineering, Analytics Engineering, BI, or ML Engineering in production environments.
SQL & Modeling: Advanced SQL proficiency (joins, CTEs, window functions, optimization) and proven experience designing/maintaining production data models and pipelines.
AWS Stack: Hands-on experience with core AWS data services (e.g., Redshift, S3, Glue, Athena, Lambda).
Orchestration: Hands-on experience with Apache Airflow for workflow management.
Programming & Engineering Standards: Strong Python skills (OOP focus), experience with CI/CD practices (GitHub Actions/GitLab), and containerization (Docker, Kubernetes/ECS/EKS).
BI & Data Quality: Proficiency with BI platforms (Tableau,Quicksight or similar) and direct ownership of production reporting, data quality, and root-cause analysis.
Soft Skills: Systems-level thinker with high standards for documentation, scalability, precision, and communicating insights to technical and non-technical partners.

Nice-to-Have:

Experience with dbt or modern ELT frameworks
Specialized e-commerce and marketing analytics expertise (CAC, ROAS, LTV, retention, and funnel optimization).

Postulación rápida

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engineer with python empleos en remote

Senior Data Analytics Engineer

Sr. Software Engineer - Application Security

Senior/Lead DevSecOps Engineer (Azure, Terraform, Sentinel)

Senior DevOps / Site Reliability Engineer

Senior Product Analyst – Application Lifecycle (Argentina)

Sr. AI Security Engineer

Engineering Manager Sr - DF072IO

Data Engineer (Tableau)

Principal Software Engineer - Identity & Access Management

Sr. Developer Productivity Engineer

Senior Business Intelligence Engineer

Staff Product Engineer

Lead DevOps

Tech Lead

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