Qureos Mentor

Harnham

<div>
 
 
 Data Engineer
 
 
 
 
 About the Role
 
 
 
 We're looking for a Data Engineer with finance and accounting data experience to support critical financial reporting, reconciliation, billing, and operational accounting workflows. In this role, you will build and optimize cloud‑based data pipelines and financial data models that ensure accuracy, audit readiness, and traceability across the organization.
 
 
 You'll partner closely with Finance, Accounting, FP&amp;A, and Analytics teams to translate business requirements into scalable, reliable data solutions. This position is hands‑on, collaborative, and ideal for someone who enjoys solving complex financial data challenges in a modern cloud environment.
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Develop, test, and deploy cloud‑based data pipelines supporting financial reporting, close processes, reconciliations, and analytics use cases
 </li>
 <li>
 Build and optimize Snowflake data models and DBT transformations for finance and accounting workflows
 </li>
 <li>
 Implement SQL transformations, reconciliation logic, and data quality checks
 </li>
 <li>
 Collaborate with Finance, Accounting, FP&amp;A, and Analytics teams to define and deliver scalable data solutions
 </li>
 <li>
 Support cloud migration of financial and accounting data from on‑premises SQL environments
 </li>
 <li>
 Ensure data quality, lineage, auditability, and compliance with financial data standards
 </li>
 <li>
 Participate in Agile ceremonies including sprint planning, daily standups, and retrospectives
 </li>
 <li>
 Contribute to documentation, testing, and release processes
 
 
 </li>
 </ul>
 What You Bring
 
 
 <ul>
 <li>
 4-6+ years of experience in data engineering or a related discipline
 </li>
 <li>
 Experience developing data solutions for finance and accounting domains (e.g., general ledger, revenue, billing, payments, financial reporting)
 </li>
 <li>
 Hands‑on experience with Snowflake and AWS cloud‑native data services
 </li>
 <li>
 Strong SQL skills, including performance optimization and complex query development
 </li>
 <li>
 Experience with DBT or similar modern ELT/ETL tools
 </li>
 <li>
 Background working with financial data warehouses or data lakes
 </li>
 <li>
 Familiarity with cloud migrations from on‑premises SQL systems
 </li>
 <li>
 Understanding of financial data modeling, ETL/ELT best practices, and analytics architecture
 </li>
 <li>
 Strong communication skills, especially when working with finance and accounting stakeholders
 </li>
 <li>
 Experience in Agile/Scrum environments
 </li>
 <li>
 
 Experience using AI‑assisted development tools
 
 
 
 </li>
 </ul>
 Preferred Qualifications
 
 
 <ul>
 <li>
 3+ years working with modern ELT/ETL tooling (DBT preferred)
 </li>
 <li>
 Expertise tuning and optimizing SQL stored procedures and transformations
 </li>
 <li>
 Python experience for data engineering, automation, or financial data processing
 </li>
 <li>
 Experience supporting financial close cycles, reconciliations, audits, or executive financial reporting
 </li>
 <li>
 Familiarity with real‑time or near‑real‑time data processing
 </li>
 <li>
 Knowledge of Git, CI/CD pipelines, DevOps tools, Jira, and Confluence
 </li>
 <li>
 Exposure to regulated financial systems or healthcare‑related financial data (nice to have)
 </li>
 </ul>
 
 
 
 
 Location -
 
 Remote (Hybrid 1 day onsite in Morristown, NJ if commutable
 
 
 
 Pay
 
 - $70/hr - $80/hr
 
 
 
 Length:
 
 Extendable, 3-6 months initial contract
 
 
 
 Utilization:
 
 40 hours per week
 
 
 
 
</div>

Senior Data Engineer

<div>
 
 
 Clinical Data Scientist
 
 
 
 
 Location:
 
 Hybrid (San Francisco, CA) or Fully Remote in PST
 
 
 
 
 
 
 About the Company
 
 
 
 Our client is a data-driven company transforming how clinical insights are generated and applied in cancer research. By integrating advanced analytics with real-world patient data.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Clinical Data Scientist
 
 with deep experience in clinical research, oncology data, and statistical analysis. You&rsquo;ll work cross-functionally with biostatistics, data management, and clinical operations teams to design, analyze, and interpret datasets from clinical trials with a focus on cancer studies, RECIST criteria, and survival analysis.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, clean, and analyze clinical trial data in compliance with CDISC standards (SDTM, ADaM).
 </li>
 <li>
 Develop and implement reproducible statistical analysis pipelines using
 
 SAS, R, and Python
 
 .
 </li>
 <li>
 Create data queries, reports, and visualizations to communicate findings to clinical and research teams.
 </li>
 <li>
 Work with cross-functional stakeholders to define data requirements and ensure accuracy and consistency.
 </li>
 <li>
 Support statistical analysis plans, including modeling for survival analysis and effectiveness endpoints.
 </li>
 <li>
 Manage and version control data workflows using
 
 Git
 
 or similar tools.
 </li>
 <li>
 Ensure compliance with
 
 HIPAA
 
 and internal data privacy standards.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years of experience
 
 in clinical data science or biostatistics, ideally within oncology or related domains.
 </li>
 <li>
 Hands-on experience with
 
 SAS
 
 ,
 
 R
 
 ,
 
 Python
 
 , and
 
 SQL
 
 for data manipulation and analysis.
 </li>
 <li>
 Solid understanding of
 
 CDISC SDTM
 
 and
 
 ADaM
 
 data standards.
 </li>
 <li>
 Experience analyzing oncology endpoints such as
 
 RECIST
 
 and
 
 survival analysis
 
 .
 </li>
 <li>
 Strong understanding of
 
 clinical trial design
 
 , data management principles, and regulatory data standards.
 </li>
 <li>
 Familiarity with
 
 HIPAA
 
 compliance and healthcare data safeguards.
 </li>
 <li>
 Proficiency with version control (e.g.,
 
 Git
 
 , GitHub).
 </li>
 <li>
 Advanced degree (Master&rsquo;s or higher) in
 
 Biostatistics, Data Science, Epidemiology, or related field
 
 .
 </li>
 </ul>
 
 
</div>

Clinical Data Scientist

Join Harnham and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Harnham

About Company

Senior Data Engineer

Clinical Data Scientist