About careerzynith
careerzynith is a leading innovator in the health‑care ecosystem, delivering data‑driven solutions that improve patient outcomes, streamline operations, and empower providers across the nation. With a mission to harness the power of information to advance health‑care quality, careerzynith invests heavily in cutting‑edge analytics platforms, collaborative research initiatives, and a culture that values curiosity, integrity, and continuous learning. As a remote‑first organization, careerzynith offers flexible work arrangements, a supportive community of technical experts, and the opportunity to make a tangible impact on the health of millions of people.
Why This Role Matters
In today’s rapidly evolving health‑care landscape, accurate and timely data is the lifeblood of quality improvement programs. The Senior Data Analytics Engineer you will become is a pivotal member of the careerzynith Health Services Quality Improvement team, responsible for designing, building, and maintaining the data foundations that power reporting, analytics, and decision‑making across the organization. Your work will directly influence how clinicians, administrators, and policy makers understand performance trends, identify gaps, and implement evidence‑based interventions that improve patient safety and care efficiency.
Key Responsibilities
- Data Pipeline Architecture: Design, develop, and operationalize multi‑layered data warehouses and pipelines that ingest, transform, and store large volumes of health‑care data from internal careerzynith production systems and external sources.
- ETL/ELT Development: Write, optimize, and maintain robust SQL‑based ETL/ELT scripts, ensuring data quality, consistency, and compliance with regulatory standards.
- Data Modeling & Staging: Create logical and physical data models, develop staging tables, and implement best‑practice data‑profiling techniques to support downstream analytics and reporting.
- Collaboration with Cross‑Functional Teams: Partner with data scientists, BI engineers, product owners, and business analysts to translate business requirements into scalable technical solutions.
- Automation & Governance: Build automated workflows for data validation, quality assurance, and lineage tracking; enforce data governance policies across the data lifecycle.
- Performance Tuning & Optimization: Conduct regular performance assessments, index tuning, and query optimization to ensure high‑throughput data processing.
- Documentation & Knowledge Sharing: Produce clear technical documentation, data dictionaries, and runbooks; mentor junior team members and contribute to internal knowledge bases.
- Travel & Stakeholder Engagement: Participate in occasional onsite meetings (up to 5% travel) to gather requirements, present findings, and strengthen relationships with internal partners and external vendors.
Essential Qualifications
- Minimum 2 years of hands‑on experience developing and maintaining SQL‑based ETL/ELT processes in a production environment.
- Demonstrated ability to design and deploy isolated data environments using platforms such as Snowflake, Databricks, or Azure Data Factory.
- Proficiency in data‑visualization and BI tooling (e.g., Power BI, Tableau, Looker) with a track record of delivering actionable insights to business stakeholders.
- Strong verbal and written communication skills, enabling effective collaboration with technical and non‑technical audiences.
- Experience working on data‑centric projects within a regulated industry, preferably health‑care, pharmacy, or related domains.
- Ability to lead projects independently, manage timelines, and coordinate cross‑functional teams without direct supervision.
- Willingness to travel up to 5 % of the time for business purposes, including occasional on‑site visits to careerzynith offices or partner locations.
Preferred Qualifications
- Knowledge of pharmacy, health‑care, and clinical research concepts such as HEDIS, ECDS, claims processing, and medication adherence metrics.
- Experience with cloud‑based data platforms (e.g., Amazon Redshift, Google BigQuery) and containerization technologies like Docker or Kubernetes.
- Familiarity with programming languages beyond SQL, such as Python or Scala, for advanced data transformation and machine‑learning pipelines.
- Certifications in data engineering, cloud architecture, or health‑care informatics (e.g., AWS Certified Data Analytics, Certified Health Data Analyst).
- Prior involvement in large‑scale data migration or integration projects involving multiple source systems and legacy data stores.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose elegant technical solutions.
- Detail Orientation: Commitment to data accuracy, consistency, and compliance with privacy regulations (HIPAA, GDPR).
- Collaboration: Proven track record of working effectively within multidisciplinary teams, fostering trust and shared ownership.
- Adaptability: Comfortable navigating a fast‑paced environment, embracing new tools, and iterating on solutions based on feedback.
- Project Management: Strong organizational skills, capable of juggling multiple priorities while delivering on time and within scope.
- Customer‑Centric Mindset: Focus on delivering value to internal and external stakeholders, translating technical work into business impact.
Career Growth & Learning Opportunities
careerzynith is committed to the professional development of its employees. As a Senior Data Analytics Engineer, you will have access to:
- Annual learning stipend for certifications, conferences, or advanced coursework in data engineering, cloud technologies, or health‑care analytics.
- Mentorship programs pairing you with senior leaders in the data and health‑care domains.
- Opportunities to lead high‑visibility projects that influence strategic decisions across the organization.
- Cross‑training rotations with the data science, product, and clinical operations teams to broaden your skill set.
- Clear promotion pathways to roles such as Lead Data Engineer, Analytics Manager, or Director of Data Strategy.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, collaborative, and innovative workplace where every voice matters. Our remote‑first policy empowers you to work from anywhere while staying connected through regular virtual stand‑ups, team‑building events, and an open‑door communication style. We celebrate diversity, encourage curiosity, and provide a supportive environment that balances high performance with personal well‑being.
Key cultural pillars include:
- Transparency: Open sharing of goals, metrics, and progress across all levels.
- Well‑Being: Programs that promote mental health, physical fitness, and work‑life harmony.
- Innovation: Time allocated for experimentation, hackathons, and exploring emerging technologies.
- Community Impact: Volunteer initiatives and social‑responsibility projects that give back to the communities we serve.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects your expertise and the value you bring to the organization. While exact figures are tailored to experience, the package typically includes:
- Base Salary: $32 per hour (part‑time) with the potential for performance‑based bonuses.
- Health & Wellness: Comprehensive medical, dental, and vision coverage; prescription drug plans; Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs).
- Retirement Savings: 401(k) plan with employer matching contributions.
- Equity Participation: Employee Stock Purchase Plan (ESPP) allowing you to become a shareholder in careerzynith.
- Paid Time Off: Generous vacation, holidays, and sick leave; additional paid days for volunteering and community service.
- Professional Development: Tuition reimbursement, certification support, and access to internal training libraries.
- Employee Assistance Programs: Confidential counseling, legal and financial resources, and wellness coaching.
- Transportation Benefits: Public‑transportation subsidies and commuter‑friendly incentives.
- Family Support: Parental leave, childcare resources, and flexible scheduling to accommodate family needs.
How to Apply
If you are passionate about turning raw health‑care data into actionable insights, thrive in a collaborative remote environment, and are ready to contribute to careerzynith’s mission of improving health outcomes, we want to hear from you. Please submit your resume and a brief cover letter outlining your relevant experience and why you are excited about this opportunity.
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Join careerzynith Today
At careerzynith, your expertise will be celebrated, your growth will be nurtured, and your contributions will directly shape the future of health‑care analytics. Take the next step in your career and become part of a purpose‑driven team that is redefining how data improves lives. Apply now and start making an impact!