Senior Data Engineer

Zifo

. Design, build, and operate data infrastructure for a clinical trial design platform .

Posted 9/30/2026full-timeRemote • United StatesSenior💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating data infrastructure for clinical trial design, including proficiency in Python, SQL, and AWS services. Capable of implementing data quality validation and developing data-serving APIs while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Python DevelopmentPostgreSQL-Compatible SQLGraph Database ExperienceData-Serving API DevelopmentClinical Data Quality Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PDF ParsingText ExtractionRelational Data ModelingKnowledge Graph ModelingETL/ELT WorkflowsSPARQLCypherEmbedding ModelsData Lineage TrackingRegulatory Compliance

Tools & Technologies

Amazon AuroraFastAPILangGraphAirflowTerraformDockerGitAWS LambdaAWS S3AWS Step Functions

Industry Keywords

Clinical Trial DesignBiomedical EntitiesClinical Data Standards21 CFR Part 11EU Annex 11ALCOA+ PrinciplesMeSHMedDRASNOMEDCDISC

Tech Stack

Tools & technologies

AirflowAngularAWSDockerETLNeo4jPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Design, build, and operate data infrastructure for a clinical trial design platform
Build ingestion pipelines for clinical trial protocols, ICF documents, SmPCs, CSRs, and published articles from PubMed, CTIS, and ClinicalTrials.gov
Handle PDF parsing, text extraction, and structured data normalization
Design and implement relational and knowledge graph data models in Amazon Aurora and GraphDB
Develop embedding and vectorization pipelines for RAG-based retrieval in LangGraph agentic workflows
Build and maintain ETL/ELT workflows that transform unstructured clinical content into queryable, linked data
Implement clinical data quality validation, including protocol section classification, entity extraction completeness, and cross-reference integrity
Build data-serving APIs with Python/FastAPI for Angular frontend and LangGraph agent-layer integration
Set up data lineage tracking and audit trails to support regulatory traceability of AI-generated trial design recommendations

Requirements

What you’ll need

Strong Python development experience, including PDF/document parsing libraries such as PyMuPDF, pdfplumber, unstructured.io, or similar
Advanced PostgreSQL-compatible SQL, including Amazon Aurora; experience with schema design, migrations, query optimization, and indexing strategies for large clinical datasets
Hands-on experience with Neptune, Neo4j, or similar graph databases
Proficiency in SPARQL or Cypher
Experience with ontology and knowledge graph modeling for biomedical entities
Experience with AWS services including Aurora PostgreSQL, S3, Lambda, Step Functions, SQS/SNS, and IAM
Experience with PDF text extraction, document section classification, and named entity recognition (NER) for clinical/biomedical text
Familiarity with embedding models and vector stores such as OpenSearch, pgvector, or Pinecone
Experience building data-serving APIs using FastAPI, including asynchronous programming patterns and backend integration
Experience preparing data for LangChain/LangGraph applications and designing RAG pipelines, including chunking, retrieval, reranking, and prompt-data integration
Experience with Airflow, Prefect, AWS Step Functions, Temporal, or similar workflow orchestration tools
Ability to design multi-stage DAGs with dependency management, retry logic, monitoring, and error handling
Experience with Terraform or AWS CDK, Docker, and Git, including automated pipeline testing and deployment on AWS
Understanding of clinical trial structure, including protocol sections, objectives, endpoints, eligibility criteria, study design, and statistical considerations
Familiarity with clinical data standards or terminologies such as MeSH, MedDRA, SNOMED, ATC codes, or CDISC is a strong plus
Awareness of regulatory data integrity requirements, including 21 CFR Part 11, EU Annex 11, and ALCOA+ principles

Benefits

Comp & perks

Accrued vacation
Medical insurance
Dental insurance
Vision insurance
401(k) with company matching
Life insurance
Flexible spending accounts
Equal opportunity employment and diversity commitment