Appsilon

Data Engineer

Rol remoto de Data Engineering con fit claro de ubicación del candidato.

Publicado3 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

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Actualidad de la fuente3 jul 2026

Fit de ubicación1 país aceptado

Match de stackAWS, Azure

Camino de aplicaciónSitio de la empresa

Resumen de fit de MiraPor qué vale revisar este rol

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Match de stackAgrega skills al perfil para compararAWS, Azure

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Aplicación

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Aplicación externa

Aplicando aData EngineerAppsilon

Fit de país1 país aceptado

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Resumen del rol

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Design, build, and maintain scalable data pipelines across diverse environments.
Integrate data from multiple internal and external sources into data warehouses or data lakes.
Collaborate closely with Data Scientists, ML Engineers, and Developers to ensure data quality, structure, and availability.
Monitor and improve data integrity, performance, and reliability.
Build and optimize database schemas, data models, and documentation.
Implement data governance, security best practices, and compliance standards.

Strong experience building scalable backend systems in Python.
Comfortable with modern language features (type hints, decorators, generators).
Able to design clean, maintainable APIs using FastAPI, Django REST Framework, or Flask.
Good understanding of performance optimization and Python internals.
A collaborative mindset — you enjoy working closely with cross-functional teams.

Hands-on experience designing and operating ETL/ELT pipelines.
Solid SQL skills and ability to model, optimize, and maintain database structures.
Experience integrating data from multiple sources (databases, APIs, streaming).
Familiarity with large-scale data processing tools or distributed systems.

Experience with cloud platforms (AWS/Azure/GCP).
Knowledge of R.
Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions, GitLab CI).
Understanding of data governance, metadata management, and security.
Experience in life sciences, biotech, genomics, or enterprise data environments.
Prior remote work experience with international teams.

Molecular Biology & Bioinformatics: Leverages molecular biology and bioinformatics to analyze data and communicate biological insights.
Clinical Trials - Data Tools & Flow: Builds and analyzes clinical trial data pipelines, ensuring auditability and delivering insights through collaboration and visualization tools.
CDISC & Clinical Data Standards: Applies and designs clinical data structures using CDISC standards, ensuring compliance and supporting best practices across teams.
Nextflow: Develops scalable, reproducible bioinformatics pipelines with Nextflow across local, HPC, and cloud environments.

Competitive B2B compensation with clear salary ranges (up to 23.000 PLN net B2B).
Modern equipment (MacBook / ThinkPad + Linux environment).
Work on high-impact, cutting-edge projects in biotech, pharma, research, and enterprise analytics.
Budget for professional development (certifications, courses, conferences).
Opportunity to collaborate with industry experts on innovative data products.
A supportive, ambitious, and friendly team that cares about excellence.
Fully remote work.