Why hirequest?
Join a purpose‑driven leader in the health‑care industry. hirequest is a global pioneer dedicated to improving the health and well‑being of millions of people every day. Our mission‑centric culture blends cutting‑edge technology with compassionate care, creating a workplace where innovation meets impact. Whether you work from a modern hirequest hub or from the comfort of your home office, you become an essential part of a collaborative ecosystem that values curiosity, continuous learning, and real‑world results.
Position Overview
hirequest is seeking a highly motivated Senior Remote Data Analytics Engineer & Virtual Assistant to lead the design, development, and operationalization of data pipelines that power our Healthcare Quality Improvement program. In this role you will partner with cross‑functional teams—including data scientists, BI engineers, platform architects, and business stakeholders—to transform raw clinical, pharmacy, and claims data into actionable insights that drive better patient outcomes and operational efficiency.
This is a fully remote opportunity with flexible hours, competitive compensation, and a clear pathway for professional growth within hirequest’s expanding analytics organization.
Key Responsibilities
- Data Strategy & Governance: Own the end‑to‑end delivery of hirequest’s data and analytics initiatives, ensuring data quality, security, and compliance with industry regulations (HIPAA, HITECH, etc.).
- ETL/ELT Architecture: Design, build, and maintain robust ETL/ELT pipelines using SQL, Python, and modern cloud platforms (Databricks, Snowflake, Azure Data Factory). Optimize pipelines for performance, scalability, and cost‑efficiency.
- Data Modeling & Warehousing: Create logical and physical data models that support reporting, predictive analytics, and machine‑learning workloads. Implement dimensional modeling, star/snowflake schemas, and data vault techniques as needed.
- Automation & Orchestration: Develop automated workflows for data ingestion, validation, transformation, and loading. Leverage orchestration tools such as Airflow, Prefect, or Azure Data Factory to ensure reliable, repeatable processes.
- Business Intelligence Enablement: Collaborate with BI developers to deliver self‑service dashboards in Power BI, Tableau, or Looker. Translate complex data structures into intuitive visualizations that empower business users.
- Data Quality & Profiling: Conduct comprehensive data profiling, anomaly detection, and root‑cause analysis across internal systems (EHR, pharmacy claims, HEDIS, etc.). Implement data quality rules and monitoring alerts.
- Cross‑Functional Collaboration: Serve as the technical liaison between data engineers, data scientists, product owners, and external partners. Communicate technical concepts in clear, business‑focused language.
- Documentation & Knowledge Sharing: Produce detailed technical documentation, data dictionaries, and runbooks. Mentor junior team members and contribute to internal knowledge bases.
- Travel & Stakeholder Engagement: Occasionally travel up to 5 % of the time (both domestic and international) to attend stakeholder workshops, data governance meetings, or on‑site training sessions.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related quantitative field. Advanced degree is a plus.
- Professional Experience: Minimum 2 years of hands‑on experience building data pipelines and supporting analytics solutions in a fast‑paced environment.
- Technical Skills:
- Proficient in SQL and experienced writing complex, performance‑tuned ETL/ELT scripts.
- Hands‑on experience with cloud‑based data platforms such as Snowflake, Databricks, or Azure Synapse.
- Familiarity with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and orchestration frameworks (Airflow, Prefect).
- Experience building data models for reporting and analytics, including dimensional modeling.
- Knowledge of BI tools (Power BI, Tableau, Looker) and ability to translate data structures into visual insights.
- Domain Knowledge: Exposure to healthcare data domains—pharmacy claims, clinical encounters, HEDIS, or similar—preferred but not mandatory.
- Soft Skills: Excellent verbal and written communication, strong stakeholder management, and the ability to work autonomously in a remote setting.
- Travel Flexibility: Willingness to travel up to 5 % of the time for business purposes.
Preferred Qualifications & Certifications
- Certified Analytics Professional (CAP) or similar data‑management certification.
- Experience with healthcare‑specific data standards (HL7, FHIR, NDC, ICD‑10).
- Background in statistical analysis or machine‑learning model deployment.
- Prior experience leading cross‑functional project teams or acting as a technical product owner.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose scalable solutions.
- Problem Solving: Proactive approach to troubleshooting pipeline failures, data anomalies, and performance bottlenecks.
- Collaboration: Comfortable partnering with data scientists, clinicians, and business analysts to align technical deliverables with strategic goals.
- Adaptability: Thrive in a rapidly evolving environment where priorities shift based on emerging health‑care trends and regulatory changes.
- Continuous Learning: Commitment to staying current with emerging data‑engineering technologies, cloud services, and best practices.
Compensation, Perks & Benefits
hirequest offers a market‑competitive salary package complemented by a comprehensive benefits suite designed to support your health, wealth, and well‑being.
- Health & Wellness: Medical, dental, and vision coverage for you and eligible dependents; prescription drug benefits; wellness programs, gym‑membership discounts, and mental‑health resources.
- Retirement Savings: 401(k) plan with company match up to a generous percentage of your contributions.
- Paid Time Off: Generous vacation, holidays, sick leave, and paid parental leave to help you recharge.
- Employee Discounts: Discounts on hirequest health‑care products, pharmacy services, and partner retail offerings.
- Learning & Development: Tuition reimbursement, certification sponsorship, and access to a curated library of technical courses.
- Career Advancement: Clear promotion pathways, mentorship programs, and opportunities to lead high‑visibility projects across the global hirequest analytics community.
- Remote Work Support: Stipends for home‑office equipment, high‑speed internet, and ergonomic accessories.
- Employee Assistance Program (EAP): Confidential counseling, legal advice, and financial planning services.
- Life & Disability Insurance: Basic life coverage with optional supplemental policies.
Work Environment & Culture at hirequest
At hirequest, culture is built on three pillars: Innovation, Inclusion, and Impact.
- Innovation: You’ll work with the latest cloud‑native technologies, AI‑driven analytics, and industry‑leading data platforms. hirequest encourages experimentation and provides sandbox environments for proof‑of‑concept work.
- Inclusion: Our diverse, global workforce collaborates across time zones and backgrounds. Employee resource groups, inclusive hiring practices, and regular cultural‑awareness events ensure every voice is heard.
- Impact: The data you build powers decisions that directly affect patient outcomes, medication safety, and community health initiatives. Knowing your work makes a tangible difference fuels our collective purpose.
Our remote‑first policy means you have the autonomy to design your own schedule while staying connected through virtual coffee chats, weekly town halls, and collaborative digital workspaces. hirequest invests heavily in tools that make remote teamwork seamless—think virtual whiteboards, real‑time code sharing, and secure data‑exchange platforms.
Career Growth & Learning Opportunities
hirequest is committed to your long‑term success. As you master data‑pipeline engineering, you can progress into senior architect roles, lead analytics product teams, or transition into data‑science leadership. We provide:
- Structured mentorship from senior data architects and analytics leaders.
- Access to industry conferences, webinars, and internal hackathons.
- Rotational programs that expose you to clinical operations, pharmacy logistics, and population health analytics.
- Leadership development tracks for those aspiring to managerial or director‑level positions.
How to Apply
If you are ready to leverage your data‑engineering expertise to drive meaningful health‑care transformation, we want to hear from you. Submit your resume, a concise cover letter highlighting relevant projects, and any portfolio links (GitHub, Kaggle, etc.) through the application portal.
Take the Next Step
Join hirequest and become part of a forward‑thinking team that turns data into life‑saving insights. Your journey toward a rewarding, purpose‑driven career starts here.
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