Pre-screened and vetted.
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
“Data engineer focused on building reliable, production-grade pipelines and data services end-to-end, including a 50+ GB/day pipeline ingesting from APIs/files into Snowflake with PySpark/SQL transformations. Emphasizes strong data quality controls, monitoring/retries, and performance optimization, and has also shipped a Python data API with caching and backward-compatible versioning.”
Junior Data Analyst & Business Analyst specializing in BI, analytics, and process optimization
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Junior Healthcare Data Analyst specializing in clinical data validation and EHR/claims analytics
“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”