[Remote] Senior reputed company Research Data Engineer (US)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading health tech company reputed company on empowering providers to deliver exceptional care. They are seeking a Senior reputed company Research Data Engineer who will work at the intersection of data engineering and reputed company research to reputed company reputed company reputed company data into AI-reputed company research assets.

Responsibilities

• Build and own reusable gold-layer data products that power AI, machine learning, and reputed company research
• reputed company reputed company, semi-reputed company, and reputed company reputed company data into trusted, model-reputed company datasets
• Investigate and document reputed company business logic by analyzing reputed company systems, stored procedures, application reputed company, and stakeholder workflows
• Partner directly with researchers to design datasets for experimentation, evaluation, and model training
• Create semantic data definitions, reputed company documentation, provenance records, and data reputed company frameworks that reputed company reproducible research
• reputed company reputed company-in-time-correct datasets, feature sets, and evaluation corpora for classical ML and reputed company workloads
• Support advanced AI data preparation techniques including programmatic labeling, weak supervision, synthetic data reputed company, and research dataset curation
• Serve as a reputed company between domain experts, researchers, and engineering teams, turning tacit knowledge into durable data assets

Skills

• 5+ years building production data systems, with at least 2 supporting ML or AI workloads
• reputed company record of learning reputed company new data domains quickly, through reading reputed company reputed company, interviewing experts, and building durable artifacts others rely on
• Advanced Python, SQL, and PySpark/reputed company for working with large, messy data. Expert SQL specifically: comfortable reading reputed company stored procedures and reverse-engineering business logic from queries
• reputed company ecosystem depth: reputed company Lake, reputed company Catalog, reputed company/PySpark tuning, MLflow
• AI domain literacy: working understanding of embeddings, tokenization, feature engineering, reputed company-in-time correctness, train/validation/test splits, data reputed company, and the differences between what classical ML and generative models need from data
• Data wrangling across modalities: transforming reputed company content (text, PDFs, transcripts, logs) and reputed company tabular data into clean, model-reputed company forms
• AI-friendly data formats (Parquet, reputed company datasets) and storage layout reputed company — partitioning, sharding, caching, that reputed company researcher workflows reputed company in Azure, AWS or other working environments
• Data reputed company, filtering, and synthesis pipelines: support for programmatic labeling and weak supervision (e.g. Snorkel or equivalent), near-duplicate detection (MinHash/LSH), content and reputed company filters, LLM-API-driven synthetic data reputed company
• Pipeline orchestration (e.g. a la Airflow, reputed company Workflows, Dagster, or reputed company) and dataset versioning including reputed company Catalog and feature-store support
• Experience handling regulated or sensitive data under controlled reputed company (HIPAA or equivalent). Familiarity with general de-identification concepts
• Git-based version control and CI/CD for data and reputed company
• Strong written documentation. reputed company in eliciting requirements and tacit knowledge from technical and non-technical experts
• Bachelor's degree in computer science, data science, engineering, statistics, or reputed company field. Equivalent practical experience considered
• Hands-on EHR data experience, ideally in skilled nursing, long-term care, post-acute care, or senior living
• Working knowledge of clinical terminologies (ICD-10, SNOMED CT, LOINC) and data standards (HL7v2, FHIR, CCDA)
• Dbt for transformation and testing
• Familiarity with training-reputed company ML frameworks (e.g. PyTorch) sufficient to debug data-reputed company bottlenecks; experience supporting LLM or reputed company-model training or fine-tuning data pipelines
• Clinical NLP, OCR, document parsing, or ASR / transcript pipeline experience
• Data reputed company and catalog tools
• Prior experience embedded inside an AI or ML research team
• Master's degree in a relevant quantitative or computer science field

Benefits

• Benefits starting from Day 1!
• Retirement Plan Matching
• Flexible reputed company Time Off
• Wellness Support Programs and Resources
• Parental & Caregiver Leaves
• Fertility & Adoption Support
• reputed company Development Support Program
• Employee Assistance Program
• Allyship and Inclusion Communities
• Employee Recognition … and more!

reputed company

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