About careerzynith
careerzynith is a leading innovator in the health‑care data ecosystem, delivering cutting‑edge analytics solutions that empower providers, payers, and patients to make smarter, data‑driven decisions. With a heritage of more than two decades in pharmacy and health‑care services, careerzynith has evolved into a technology‑first organization that blends deep industry expertise with modern data engineering practices. Our mission is to transform raw health data into actionable insights that improve outcomes, reduce costs, and enhance the overall quality of care.
We are proud to offer a flexible, remote‑first work model that attracts top talent from across the United States. Whether you are based in a bustling city or a quiet suburb, careerzynith provides the tools, culture, and support you need to thrive while contributing to a purpose‑driven organization that is reshaping the future of health‑care analytics.
Role Overview
We are seeking a highly skilled Senior Analytics Engineer to join our remote team on a part‑time basis (approximately 8 hours per week) with a competitive rate of $30 per hour. In this role, you will partner with cross‑functional teams of data scientists, business intelligence engineers, platform architects, and business stakeholders to design, build, and maintain robust data pipelines that power analytics and reporting for the careerzynith Health Improvement Program. Your work will directly influence the quality of health‑care delivery, enabling data‑driven decision‑making across the organization.
Key Responsibilities
- Lead the end‑to‑end delivery of careerzynith Health data and analytics initiatives, ensuring data pipelines are reliable, scalable, and meet stringent compliance standards.
- Design, develop, and orchestrate complex ETL/ELT workflows using industry‑leading platforms such as Snowflake, Databricks, and Azure Data Factory.
- Construct and maintain curated data sets and data marts that support both operational reporting and advanced analytics use cases.
- Implement data modeling best practices to create logical and physical data models that reflect real‑world health‑care entities (e.g., pharmacy claims, clinical encounters, HEDIS measures).
- Apply data extraction, transformation, and loading techniques to ingest large volumes of data from internal careerzynith production systems and external data partners.
- Perform data profiling and data quality assessments across multiple source systems, identifying gaps and recommending remediation strategies.
- Develop internal tools and automation scripts to streamline data quality checks, validation processes, and data governance workflows.
- Collaborate closely with BI developers to deliver semantic data layers that power visualizations in Power BI, Tableau, or Looker.
- Provide technical mentorship to junior engineers and act as a subject‑matter expert for data architecture decisions.
- Travel up to 5% of the time for on‑site collaboration with business partners, vendor teams, or industry conferences (travel may be virtual when appropriate).
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related quantitative field.
- Minimum of 2 years of hands‑on experience developing and optimizing SQL‑based ETL/ELT scripts in a production environment.
- Proven expertise building and maintaining data pipelines using cloud‑native services such as Snowflake, Databricks, Azure Synapse, or Google BigQuery.
- Demonstrated ability to design and implement data models that support both transactional and analytical workloads.
- Strong written and verbal communication skills, with the ability to translate complex technical concepts to non‑technical stakeholders.
- Experience working within a regulated health‑care environment, understanding data privacy and security requirements (HIPAA, GDPR, etc.).
- Ability to work independently in a remote setting while maintaining high levels of productivity and collaboration.
Preferred Qualifications
- Certification as a Certified Analytics Professional (CAP) or similar credential.
- Experience with pharmacy, health‑care, or clinical analytics domains, including familiarity with claims data, pharmacy benefit management, and quality metrics such as HEDIS.
- Hands‑on experience with data visualization platforms (Power BI, Tableau, Looker) and the creation of semantic layers.
- Knowledge of data governance frameworks and data catalog tools (e.g., Collibra, Alation).
- Exposure to containerization (Docker, Kubernetes) and CI/CD pipelines for data engineering workloads.
Core Skills & Competencies
- Technical Proficiency: Advanced SQL, Python or Scala for data transformation, and familiarity with Spark or similar distributed processing engines.
- Analytical Mindset: Ability to dissect large data sets, identify patterns, and propose actionable insights.
- Collaboration: Comfortable working with cross‑functional teams, including data scientists, product managers, and external vendors.
- Problem‑Solving: Proactive approach to troubleshooting data pipeline failures and performance bottlenecks.
- Documentation: Strong habit of maintaining clear, up‑to‑date documentation for data assets, pipelines, and governance processes.
- Adaptability: Ability to thrive in a fast‑changing environment where priorities shift based on business needs.
Career Growth & Learning Opportunities
careerzynith is committed to the continuous development of its talent. As a Senior Analytics Engineer, you will have access to:
- Mentorship programs with senior leaders in data science and architecture.
- Sponsored certifications (e.g., Snowflake SnowPro, Microsoft Azure Data Engineer, CAP) and tuition reimbursement for advanced degrees.
- Opportunities to lead high‑visibility projects that directly impact national health‑care initiatives.
- Regular knowledge‑sharing sessions, hackathons, and internal conferences that encourage innovation.
- A clear career ladder that can transition you into roles such as Lead Data Architect, Analytics Manager, or Director of Data Strategy.
Work Environment & Culture
At careerzynith, we believe that a supportive, inclusive, and flexible work environment fuels creativity and performance. Our remote‑first culture is built on:
- Trust‑Based Autonomy: You set your own schedule within the agreed part‑time hours, focusing on outcomes rather than clock‑watching.
- Collaborative Spirit: Regular virtual stand‑ups, cross‑team workshops, and an open‑door policy with leadership ensure you are always connected.
- Diversity & Inclusion: We celebrate diverse perspectives and actively recruit talent from underrepresented groups.
- Health & Well‑Being: Comprehensive mental‑health resources, virtual fitness classes, and a generous paid‑time‑off policy.
- Technology Stack: State‑of‑the‑art cloud platforms, modern development tools, and a sandbox environment for experimentation.
Compensation, Benefits & Perks
While the base rate for this part‑time role is $30 per hour, careerzynith offers a competitive total rewards package that includes:
- Performance‑based bonuses tied to project milestones.
- Health, dental, and vision insurance options with employer contributions.
- Retirement savings plan with company matching.
- Paid parental leave and family‑care assistance.
- Professional development stipend for conferences, courses, and certifications.
- Access to a virtual employee assistance program (EAP) for counseling and financial advice.
- Flexible equipment allowance for home office setup.
How to Apply
If you are passionate about turning complex health‑care data into meaningful insights and thrive in a remote, collaborative environment, we want to hear from you. Please submit your resume, a concise cover letter highlighting your most relevant experience, and any portfolio or GitHub links that showcase your data engineering work.
Join careerzynith today and be part of a mission‑driven team that is redefining the future of health‑care analytics.