About careerzynith
careerzynith is a leading innovator in the health‑care ecosystem, dedicated to improving the quality, accessibility, and affordability of health services for millions of people across the United States. With a strong focus on data‑driven decision making, careerzynith leverages cutting‑edge technology, advanced analytics, and a collaborative culture to transform raw data into actionable insights that power better patient outcomes, operational efficiency, and strategic growth. As a remote‑first organization, careerzynith embraces flexibility, diversity, and continuous learning, offering employees the freedom to work from anywhere while staying connected to a vibrant, purpose‑driven community.
Position Overview
careerzynith is seeking a highly skilled Senior Analytics Engineer to join our dynamic analytics team on a part‑time, remote basis. This role will serve as a critical bridge between data engineering, business intelligence, and clinical operations, ensuring that our health‑care data pipelines are robust, scalable, and aligned with the strategic goals of the careerzynith Health Services Quality Improvement program. The ideal candidate will bring a blend of technical expertise, analytical acumen, and strong communication skills to drive data‑centric initiatives that enhance reporting, analytics, and decision‑making across the organization.
Key Responsibilities
- Data Pipeline Architecture & Maintenance: Design, develop, and maintain complex ETL/ELT pipelines that ingest, transform, and load large volumes of health‑care data from internal careerzynith systems and external sources such as pharmacy claims, HEDIS datasets, and clinical case records.
- Data Warehouse Management: Own the end‑to‑end lifecycle of careerzynith’s data warehouse, ensuring data integrity, performance optimization, and compliance with regulatory standards.
- Analytics Enablement: Build and curate curated data models, dimensional tables, and analytical datasets that empower business intelligence engineers, data scientists, and product owners to create insightful dashboards and predictive models.
- Collaboration & Stakeholder Engagement: Partner closely with cross‑functional teams—including data scientists, BI developers, product managers, and clinical experts—to translate business requirements into technical specifications and deliver data solutions that meet or exceed expectations.
- Data Quality & Governance: Implement rigorous data profiling, validation, and monitoring processes to guarantee accuracy, completeness, and consistency across all data assets.
- Automation & Tooling: Develop internal tools and scripts that automate repetitive data‑engineering tasks such as data validation, QA testing, and metadata management, thereby increasing operational efficiency.
- Performance Tuning & Optimization: Apply best practices in SQL, Spark, and cloud‑based data platforms (e.g., Snowflake, Databricks) to optimize query performance, reduce latency, and lower compute costs.
- Documentation & Knowledge Sharing: Produce clear, concise documentation for data pipelines, data models, and analytical solutions, and mentor junior engineers on best practices and emerging technologies.
- Travel Flexibility: Be prepared to travel up to 5% of the time for on‑site collaboration, stakeholder workshops, or industry conferences, both within the United States and internationally.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related quantitative discipline.
- Minimum of 2 years of hands‑on experience developing and maintaining production‑grade ETL/ELT pipelines in a data‑intensive environment.
- Proven expertise with SQL‑based data transformation tools and platforms such as Snowflake, Databricks, or Azure Data Factory.
- Demonstrated ability to design and implement data models that support both operational reporting and advanced analytics use cases.
- Strong written and verbal communication skills, with a track record of effectively collaborating with technical and non‑technical stakeholders.
- Experience working on data‑driven projects within the health‑care, pharmacy, or insurance domains is highly desirable.
- Willingness to work a flexible schedule that aligns with a part‑time, remote arrangement while maintaining high productivity.
Preferred Skills & Certifications
- Certified Analytics Professional (CAP) or similar data‑analytics certification.
- Familiarity with health‑care data standards such as HL7, FHIR, and HIPAA compliance requirements.
- Experience with BI visualization tools like Power BI, Tableau, or Looker, and the ability to translate data models into intuitive dashboards.
- Knowledge of pharmacy benefit management (PBM) concepts, clinical quality measures, and health‑care analytics methodologies.
- Exposure to cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) for scalable data processing.
Core Competencies
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose data‑centric solutions.
- Problem‑Solving: Proactive approach to troubleshooting pipeline failures, performance bottlenecks, and data quality issues.
- Collaboration: Strong team player who thrives in a matrixed environment, building trust with peers across product, engineering, and clinical teams.
- Adaptability: Comfortable navigating a fast‑paced, evolving technology landscape and quickly adopting new tools and methodologies.
- Attention to Detail: Commitment to delivering high‑quality, error‑free data solutions that meet rigorous compliance standards.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Analytics Engineer, you will have access to:
- Mentorship programs with senior data leaders and industry experts.
- Sponsored certifications and training courses in cloud data platforms, advanced analytics, and health‑care informatics.
- Opportunities to lead high‑visibility projects that directly influence strategic decisions and patient outcomes.
- Cross‑functional rotations that broaden your skill set across data science, product management, and clinical operations.
- Attendance at industry conferences, webinars, and internal hackathons to stay at the forefront of data innovation.
Work Environment & Culture at careerzynith
careerzynith fosters a culture of inclusion, curiosity, and impact. Our remote‑first policy means you can work from any location in the United States while staying connected through regular virtual stand‑ups, collaborative tools, and quarterly in‑person meet‑ups. We celebrate diversity of thought, encourage open communication, and recognize achievements through a transparent performance framework. Employees enjoy a supportive environment where work‑life balance is respected, and personal well‑being is prioritized.
Compensation, Perks & Benefits
While the exact compensation package will be discussed during the interview process, candidates can expect a competitive hourly rate of $30 per hour, reflective of the expertise required for this senior role. In addition to base pay, careerzynith offers:
- Flexible work hours and a remote‑first setup.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Paid time off, holidays, and sick leave to support work‑life harmony.
- Professional development stipend for certifications, courses, and conferences.
- Employee assistance programs, wellness resources, and mental‑health support.
- Technology allowance for home office equipment and high‑speed internet.
How to Apply
If you are passionate about turning complex health‑care data into meaningful insights, thrive in a collaborative remote environment, and are ready to make a tangible impact on patient care, we want to hear from you. Click the link below to submit your application and join the careerzynith mission of data‑driven health‑care excellence.
Closing Statement
careerzynith is committed to building a diverse team that reflects the communities we serve. We encourage candidates of all backgrounds to apply. Take the next step in your career and help shape the future of health‑care analytics with careerzynith.