About careerzynith
careerzynith is a leading innovator in the health‑care and pharmacy services sector, delivering cutting‑edge solutions that empower millions of customers to access medication, wellness advice, and personalized care from the comfort of their homes. With a legacy of more than a century in the industry, careerzynith has continuously evolved its digital platforms, data ecosystems, and analytics capabilities to stay ahead of the rapidly changing health‑tech landscape. Our mission is to harness data‑driven insights to improve health outcomes, streamline operations, and create a seamless experience for both patients and providers. As a remote‑first employer, careerzynith offers flexible work arrangements, a collaborative culture, and a commitment to professional growth that makes us a top choice for data professionals seeking purpose‑driven careers.
Role Overview
The Senior Analytics Engineer position at careerzynith is a pivotal, part‑time role that blends data entry expertise with advanced analytics engineering. You will partner with a cross‑functional team of data scientists, business intelligence (BI) engineers, platform architects, and data consumers to design, build, and maintain robust data pipelines that power the careerzynith Health Services Quality Improvement program. This role is remote, offering a competitive hourly rate of $30 and the flexibility to work from anywhere in the United States, with occasional travel (up to 5% of the time) for on‑site collaboration or stakeholder meetings.
Key Responsibilities
- Data Pipeline Development: Design, develop, and orchestrate multi‑layered data pipelines that ingest, transform, and load (ETL/ELT) large volumes of structured and semi‑structured data from internal careerzynith production systems and external sources.
- Data Warehouse Management: Maintain and optimize careerzynith’s data warehouse environments (e.g., Snowflake, Databricks) to ensure high‑performance analytics and reporting capabilities for health‑service initiatives.
- Data Modeling & Architecture: Create logical and physical data models that support both operational analytics and advanced predictive analytics, aligning with business requirements and industry best practices.
- Automation & Tooling: Build internal tools and automation scripts that streamline data quality checks, validation processes, and data governance workflows.
- Collaboration & Communication: Work closely with data scientists, BI developers, product owners, and external vendors to translate business needs into technical specifications and deliver actionable insights.
- Data Profiling & Exploration: Conduct thorough data profiling and exploratory analysis across various careerzynith data sources, including pharmacy claims, clinical case records, HEDIS, and ECDS datasets.
- Documentation & Knowledge Sharing: Document data pipelines, transformation logic, and data lineage to facilitate knowledge transfer and support future enhancements.
- Travel & Stakeholder Engagement: Participate in occasional on‑site meetings (up to 5% travel) to engage with internal partners, attend workshops, and support cross‑functional initiatives.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Minimum of 2 years of hands‑on experience developing and maintaining SQL‑based ETL/ELT scripts in a production environment.
- Proven expertise in building and managing data pipelines using modern data platforms such as Snowflake, Databricks, or Azure Data Factory.
- Strong understanding of data modeling concepts, including star and snowflake schemas, and experience translating business requirements into robust data structures.
- Demonstrated ability to work with large data sets, perform data profiling, and implement data quality frameworks.
- Excellent verbal and written communication skills, with a track record of collaborating effectively with technical and non‑technical stakeholders.
- Willingness to travel up to 5% of the time for business purposes, both within and outside the United States.
Preferred Qualifications
- Certification as a Certified Analytics Professional (CAP) or similar credential.
- Experience in the pharmacy, health‑care, or clinical research domains, with familiarity of industry‑specific data concepts such as pharmacy claims, HEDIS measures, and electronic health records.
- Hands‑on experience with BI visualization tools like Power BI, Tableau, or Looker, and the ability to support data‑driven storytelling for business users.
- Knowledge of cloud‑based data orchestration tools (e.g., Azure Data Factory, AWS Glue) and containerization technologies (Docker, Kubernetes).
- Prior involvement in building data‑centric automation solutions that improve operational efficiency and data governance.
Core Skills & Competencies
- Technical Proficiency: Advanced SQL, Python or Scala for data transformation, and familiarity with version control (Git).
- Data Engineering Tools: Experience with Snowflake, Databricks, Azure Synapse, or similar data warehouse platforms.
- ETL/ELT Best Practices: Ability to design scalable, fault‑tolerant pipelines that adhere to data governance and security standards.
- Analytical Mindset: Strong problem‑solving skills, with a focus on translating raw data into meaningful business insights.
- Collaboration: Ability to work in a matrixed environment, influencing cross‑functional teams without direct authority.
- Communication: Clear articulation of technical concepts to non‑technical audiences, and the creation of concise documentation.
- Adaptability: Comfort with evolving priorities, rapid iteration, and continuous learning in a fast‑paced health‑tech setting.
Career Growth & Learning Opportunities
careerzynith is committed to the professional development of its employees. As a Senior Analytics Engineer, you will have access to:
- Mentorship Programs: Pairing with senior data architects and industry experts to deepen your technical expertise.
- Continuous Learning Stipends: Annual budget for certifications, conferences, and online courses related to data engineering, cloud platforms, and health‑care analytics.
- Cross‑Functional Projects: Opportunities to contribute to strategic initiatives such as predictive health‑outcome modeling, AI‑driven pharmacy optimization, and real‑time analytics dashboards.
- Leadership Pathways: Clear tracks toward senior technical leadership (Principal Data Engineer) or product‑focused roles (Analytics Product Manager) based on your interests.
- Innovation Labs: Participation in careerzynith’s internal innovation labs where you can prototype new data solutions and influence the company’s technology roadmap.
Work Environment & Culture at careerzynith
Our remote‑first culture emphasizes flexibility, inclusion, and a strong sense of community. Key aspects of the careerzynith work environment include:
- Flexible Hours: While the role is part‑time (8 hours per day), you can choose the schedule that best fits your lifestyle, provided core collaboration windows are respected.
- Collaborative Teams: You’ll be part of a diverse, interdisciplinary team that values open communication, knowledge sharing, and mutual respect.
- Diversity & Inclusion: careerzynith actively promotes a workplace where all voices are heard, and diverse perspectives drive innovation.
- Health & Wellness: Comprehensive wellness programs, virtual fitness classes, and mental‑health resources are available to all employees.
- Technology Stack: State‑of‑the‑art tools and platforms, ensuring you work with the latest technologies in data engineering and analytics.
Compensation, Benefits & Perks
careerzynith offers a competitive hourly rate of $30, reflecting the expertise required for this senior‑level role. In addition to base compensation, you can expect:
- Performance‑based bonuses tied to project milestones and data‑driven outcomes.
- Health, dental, and vision insurance options, even for part‑time staff.
- Retirement savings plans with employer matching contributions.
- Paid time off, sick leave, and holidays aligned with a flexible remote schedule.
- Access to a digital learning platform, covering topics from cloud architecture to advanced analytics.
- Company‑wide events, virtual happy hours, and networking sessions to foster community.
How to Apply
If you are passionate about turning raw data into actionable health‑care insights, thrive in a collaborative remote environment, and are ready to make a tangible impact on millions of lives, we want to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why careerzynith is the right fit for your next career chapter.