Senior Data Engineer

Job Details

Posted on: 
May 20, 2025
Job ID:
425

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide. 

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Beaconcure is transforming the clinical research space by automating data validation processes with its AI-powered platform, Verify. Their solution accelerates drug and vaccine approval, ensuring the accuracy and integrity of statistical analysis in clinical trials. As a Senior Data Engineer, you’ll be instrumental in building robust data pipelines and infrastructure to support rapid, secure medical advancements. You'll work alongside data scientists, analysts, and engineers to ensure data flows reliably and at scale.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

  • 3+ years of experience in Python development (or 1+ year in Python and 2+ years in another language)
  • Hands-on experience with Pandas, PySpark, SQLAlchemy
  • Strong understanding of ETL/ELT pipelines and data architecture
  • Proficiency with Databricks or similar platforms
  • Experience with AWS cloud services
  • Good communication and problem-solving skills
  • Nice to Have

    • Experience with CI/CD and orchestration tools
    • Familiarity with MLOps frameworks
    • Background in life sciences or pharma
    • Experience with PyTest and regular expressions

    Scope of work:

  • Design and implement scalable ETL pipelines using Python and modern data frameworks
  • Optimize structured and semi-structured data workflows for performance and reliability
  • Collaborate with cross-functional teams to support data-driven decision making
  • Work with Databricks and distributed data processing platforms
  • Ensure high standards of data quality, documentation, and production readiness
  • Contribute to the evolution of Beaconcure’s cloud-based data infrastructure (AWS)
  • Why ALLSTARSIT?

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