Appsilon

Data Engineer

Vaga remota de Data Engineering com fit claro de localização do candidato.

Publicada3 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Estados Unidos

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Países aceitos para candidatos estão listados (1).

Atualidade da fonte3 de jul. de 2026

Fit de localização1 país aceito

Match de stackAWS, Azure

Caminho de aplicaçãoSite da empresa

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Match de stackAdicione skills ao perfil para compararAWS, Azure

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Aplicando paraData EngineerAppsilon

Fit de país1 país aceito

Caminho de aplicaçãoSite da empresa

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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.