About careerzynith
careerzynith is a leading innovator in the healthcare and pharmacy sector, dedicated to transforming patient outcomes through data‑driven insights. With a robust portfolio of health‑service programs, careerzynith leverages cutting‑edge technology to streamline operations, enhance quality improvement initiatives, and empower clinicians with actionable intelligence. As a remote‑first organization, careerzynith embraces flexibility, diversity, and continuous learning, offering a collaborative environment where top talent can thrive from anywhere in the world.
Why This Role Matters
In today’s fast‑moving health‑care landscape, the ability to collect, process, and analyze massive volumes of data is a competitive advantage. As a Senior Data Analytics Engineer, you will be at the heart of careerzynith’s Data & Knowledge Commercialization program, building the data pipelines and analytical foundations that enable the company’s Quality Improvement initiatives. Your work will directly influence how clinicians, managers, and executives make evidence‑based decisions that improve patient care, reduce costs, and drive strategic growth.
Key Responsibilities
- Data Strategy Execution: Lead the design, development, and maintenance of careerzynith’s enterprise‑wide data and analytics platforms, ensuring they meet both short‑term reporting needs and long‑term strategic goals.
- ETL/ELT Development: Create, optimize, and monitor high‑performance ETL/ELT pipelines using SQL, Python, and modern data‑engineering tools such as Databricks, Snowflake, and Purple‑Blue Data Factory.
- Data Modeling & Warehouse Architecture: Build scalable, normalized and dimensional data models that support self‑service BI, advanced analytics, and machine‑learning workloads.
- Automation & Orchestration: Develop automated workflows for data ingestion, validation, quality assurance, and deployment, reducing manual effort and increasing reliability.
- Collaboration with Cross‑Functional Teams: Partner with data scientists, BI developers, system architects, and business stakeholders to translate business requirements into technical specifications.
- Data Governance & Compliance: Implement best practices for data security, privacy, and regulatory compliance (HIPAA, GDPR) across all data assets.
- Performance Tuning & Optimization: Conduct profiling and performance analysis of internal and external data sources, applying indexing, partitioning, and caching strategies to accelerate query response times.
- Documentation & Knowledge Sharing: Produce clear technical documentation, data dictionaries, and runbooks; mentor junior engineers and contribute to internal training programs.
- Travel Flexibility: Be prepared to travel up to 5% of the time for on‑site workshops, stakeholder meetings, or data‑center visits, both domestically and internationally.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field. Advanced degrees are a plus.
- Professional Experience: Minimum 2 years of hands‑on experience designing and implementing data pipelines and warehouses in a healthcare or financial services environment.
- Technical Proficiency: Demonstrated expertise in SQL‑based ETL/ELT scripting, data modeling, and performance tuning. Experience with cloud data platforms (Snowflake, Redshift, BigQuery) and orchestration tools (Airflow, Azure Data Factory) is required.
- Tool Mastery: Proven ability to deliver data solutions that integrate with BI platforms such as Power BI, Tableau, or Looker, and familiarity with data‑visualization best practices.
- Communication Skills: Strong verbal and written communication abilities, with a track record of translating complex technical concepts into clear business language for diverse audiences.
- Leadership & Project Management: Experience leading cross‑functional initiatives, managing timelines, and coordinating with multiple stakeholders to deliver projects on schedule.
Preferred Qualifications & Certifications
- Certified Analytics Professional (CAP) or similar data‑management certification.
- Domain knowledge of pharmacy, clinical research, or health‑care analytics, including familiarity with HEDIS, ECDS, and claims data.
- Experience with machine‑learning pipelines and data‑science collaboration tools (e.g., MLflow, Databricks notebooks).
- Exposure to Agile/Scrum methodologies and DevOps practices for data engineering.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose scalable solutions.
- Problem‑Solving: Proactive mindset for troubleshooting data anomalies, performance bottlenecks, and integration challenges.
- Collaboration: Comfortable working in a matrixed environment, building strong relationships with technical and non‑technical partners.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new technologies and industry trends.
- Attention to Detail: Commitment to data accuracy, integrity, and compliance throughout the data lifecycle.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Senior Data Analytics Engineer, you will have access to:
- Mentorship programs with senior architects and industry experts.
- Sponsored certifications (e.g., Snowflake, AWS, Azure) and tuition reimbursement for advanced degrees.
- Opportunities to lead high‑visibility projects that shape the future of healthcare analytics.
- Cross‑functional rotations that broaden your skill set across data science, product management, and operations.
- Regular internal hackathons and innovation challenges that encourage creative problem‑solving.
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 while staying connected through virtual collaboration tools, regular team‑wide town halls, and quarterly in‑person meet‑ups. We celebrate diversity, encourage open dialogue, and recognize achievements through peer‑nominated awards and performance bonuses.
Compensation, Perks & Benefits
While specific salary ranges are market‑competitive, careerzynith offers a comprehensive benefits package that includes:
- Health, Dental, and Vision Insurance: Comprehensive coverage for you and your eligible dependents.
- Prescription Drug Coverage: Generous pharmacy benefits reflecting careerzynith’s industry expertise.
- Retirement Savings: 401(k) plan with company matching contributions to help you build long‑term wealth.
- Paid Time Off: Flexible vacation, holidays, and sick leave policies that adapt to your life stage.
- Employee Discounts: Savings on careerzynith products, services, and partner offerings.
- Wellness Programs: Gym membership discounts, virtual fitness challenges, and mental‑health resources.
- Employee Assistance Program (EAP): Confidential counseling, legal, and financial guidance.
- Flexible Spending Accounts (FSA): Tax‑advantaged accounts for medical and dependent care expenses.
- Life Insurance & Disability Coverage: Basic coverage with options to purchase supplemental policies.
- Educational Assistance: Tuition reimbursement and support for professional development courses.
- Career Development Pathways: Clear promotion tracks, performance reviews, and leadership training.
How to Apply
If you are passionate about turning raw health data into strategic insights, thrive in a collaborative remote environment, and are ready to make a measurable impact on patient outcomes, careerzynith wants to hear from you. Click the link below to submit your application, attach your resume, and showcase any relevant projects or portfolios.
Apply Now – Join careerzynith’s Data Innovation Team
Closing Statement
careerzynith is committed to building a diverse workforce 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 healthcare analytics with careerzynith.