Workana
Workana
51 – 200 Employees
HR TechMarketplaceRecruitment
Workana is a Latin American HR technology and talent marketplace that helps businesses find and engage remote developers, freelancers, and other specialists. Its platform supports project-based work and time-limited engagements across areas including IT and programming, design and multimedia, and writing and translation. Workana also provides pre-selected talent, flexible payment options in local currencies or US dollars, protected payments, and a satisfaction guarantee to support remote hiring from project start through completion.

Senior Data Engineer (Remote, U.S.)

Senior Data Engineer responsible for scalable data platforms and ELT/ETL pipelines supporting scientific research, clinical analytics, and machine learning in life sciences and biotechnology.

Description

  • Build and maintain production-grade data platforms and scalable ELT/ETL pipelines
  • Process and model complex structured and unstructured scientific and clinical data
  • Establish data architecture patterns, engineering standards, and team best practices
  • Partner with scientists, ML engineers, and business stakeholders to deliver domain-focused data solutions
  • Develop infrastructure for machine learning training, inference, and analytics workloads
  • Maintain data quality, lineage, reproducibility, security, and observability
  • Improve pipeline performance, resolve architectural bottlenecks, and manage infrastructure costs
  • Contribute to technical design reviews, code reviews, and architecture decisions

Requirements

  • At least five years of experience in data engineering, data platform engineering, or data-intensive software engineering
  • Advanced professional proficiency in Python and SQL
  • Demonstrated experience designing and owning production-grade distributed data architectures
  • Strong knowledge of ETL/ELT practices, data modeling, orchestration, and data observability
  • Sound software engineering fundamentals covering testing, CI/CD, version control, and system design
  • Experience working with large, complex, heterogeneous datasets in cloud environments
  • Ability to work independently, navigate technical ambiguity, and own deliverables
  • Experience with AWS, Google Cloud Platform, or Azure; Spark, Databricks, Snowflake, or BigQuery experience is a bonus
  • Experience with Apache Airflow, Dagster, or Prefect is a bonus
  • Experience with life sciences, clinical trials, genomics, or drug discovery data is a bonus
  • Exposure to data governance, lineage, or regulated data environments is a bonus

Benefits

  • Competitive salary and covered travel expenses when travel is required
  • Flexible work options, including hybrid work in Indianapolis, Indiana, or fully remote work within the U.S. East Coast with occasional travel
  • Career growth through innovative, high-impact enterprise projects
  • Long-term independent contractor agreement

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