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About careerzynith – Pioneering Healthcare Data Innovation
careerzynith is a leading force in the healthcare industry, dedicated to transforming how health information is captured, analyzed, and leveraged to improve patient outcomes. With a legacy of delivering cutting‑edge data solutions to pharmacies, clinics, and health plans across the United States, careerzynith combines deep domain expertise with modern data engineering practices. Our mission is to empower clinicians, administrators, and policymakers with reliable, actionable insights that drive quality improvement, cost efficiency, and better care experiences.
As part of our ongoing commitment to expand the reach of data‑driven healthcare, we are looking for a highly skilled Senior Analytics Engineer to join our remote, part‑time team. This role offers a competitive rate of $30 per hour, flexible scheduling, and the chance to work on mission‑critical projects that directly impact the health of millions of Americans.
Role Overview – Senior Analytics Engineer (Remote, Part‑Time)
The Senior Analytics Engineer will serve as a bridge between data science, business intelligence, and operational teams within careerzynith. You will design, build, and maintain robust data pipelines and warehouses that support analytics, reporting, and machine‑learning initiatives for our Healthcare Quality Improvement program. This position is ideal for a self‑motivated professional who thrives in a collaborative, cross‑functional environment and enjoys turning raw data into strategic assets.
Key Responsibilities
- Data Pipeline Architecture: Design, develop, and orchestrate end‑to‑end ETL/ELT workflows using industry‑standard platforms such as Azure Data Factory, Databricks, and Snowflake.
- Warehouse Management: Build and maintain scalable data warehouse schemas that support both operational reporting and advanced analytics workloads.
- Data Modeling: Create logical and physical data models, including dimensional and normalized structures, to enable efficient querying and data governance.
- Integration & Ingestion: Implement best‑practice data ingestion techniques to bring together large volumes of internal careerzynith source data and external healthcare datasets (e.g., pharmacy claims, HEDIS, ECDS).
- Data Quality & Governance: Develop automated data profiling, validation, and cleansing routines to ensure high data integrity and compliance with regulatory standards.
- Collaboration: Partner closely with data scientists, BI engineers, product owners, and business stakeholders to translate analytical requirements into technical specifications.
- Tool Development: Build internal utilities and dashboards that automate data‑related processes such as QA, data approval, and pipeline monitoring.
- Documentation & Knowledge Sharing: Produce clear documentation, data dictionaries, and runbooks to facilitate knowledge transfer across the organization.
- Travel Flexibility: Be prepared to travel up to 5% of the time for on‑site collaboration, training sessions, or stakeholder meetings (both within and outside the state).
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.
- Proven expertise in building and maintaining data pipelines using cloud‑native services (Azure Data Factory, Databricks, Snowflake, or comparable platforms).
- Demonstrated ability to design and implement data models that support both transactional and analytical workloads.
- Strong communication skills—both written and verbal—with the ability to convey complex technical concepts to non‑technical audiences.
- Experience working on data‑centric projects within the healthcare or financial services sectors, with a solid understanding of data privacy and compliance requirements.
- Willingness to work a flexible schedule that aligns with part‑time remote expectations while meeting project deadlines.
Preferred Qualifications
- Certified Analytics Professional (CAP) or equivalent data‑management certification.
- Familiarity with pharmacy, medical services, and clinical research terminology, including concepts such as HEDIS, ECDS, and claims processing.
- Hands‑on experience with BI visualization tools such as Power BI, Tableau, or Looker, and the ability to translate data models into intuitive dashboards.
- Exposure to data‑governance frameworks and metadata management tools.
- Previous experience leading cross‑functional teams or mentoring junior engineers.
Core Skills & Competencies
- Technical Proficiency: Advanced SQL, Python or Scala for data transformation, and familiarity with version control (Git).
- Analytical Mindset: Ability to perform data profiling, root‑cause analysis, and performance tuning of large datasets.
- Problem‑Solving: Creative approach to designing scalable solutions that balance speed, cost, and reliability.
- Collaboration: Strong team player who can build rapport with data scientists, product managers, and external vendors.
- Adaptability: Comfortable navigating a fast‑changing environment and adopting new technologies as needed.
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 architects and industry experts.
- Sponsored certifications (e.g., Microsoft Azure, Snowflake, CAP) and continuous‑learning platforms.
- Opportunities to lead high‑visibility projects that influence strategic decision‑making across the organization.
- Cross‑departmental exposure, allowing you to broaden your expertise into data science, product management, and healthcare operations.
- A clear career ladder that can lead to roles such as Lead Data Engineer, Analytics Manager, or Director of Data Strategy.
Work Environment & Culture at careerzynith
Our remote workforce is built on trust, autonomy, and a shared commitment to improving health outcomes. Key cultural pillars include:
- Innovation First: We encourage experimentation and reward ideas that drive measurable impact.
- Patient‑Centric Mindset: Every data solution we build is ultimately aimed at bettering patient care.
- Inclusivity & Diversity: careerzynith celebrates diverse perspectives and fosters an inclusive environment where every voice is heard.
- Work‑Life Balance: Flexible scheduling, generous paid time off, and a supportive remote‑first policy help you maintain a healthy balance.
- Collaboration: Regular virtual coffee chats, team‑wide retrospectives, and cross‑functional hackathons keep the community connected.
Compensation, Perks & Benefits
While the base hourly rate for this role is $30, careerzynith offers a comprehensive benefits package that includes:
- Performance‑based bonuses and potential equity participation for high‑impact contributors.
- Health, dental, and vision insurance plans with employer contributions.
- Retirement savings options, including a 401(k) match.
- Professional development stipend for conferences, courses, and certifications.
- Home office allowance to support your remote workspace setup.
- Wellness programs, mental‑health resources, and employee assistance services.
How to Apply
If you are ready to leverage your data engineering expertise to make a tangible difference in the healthcare ecosystem, we invite you to submit your application today. Please ensure your resume highlights relevant experience with ETL/ELT pipelines, data warehousing, and healthcare data domains.
Apply Job!
Join careerzynith – Make Data Work for Better Health
At careerzynith, your work will directly influence the quality of care delivered to patients nationwide. By joining our team, you become part of a purpose‑driven organization that values technical excellence, collaboration, and continuous improvement. We look forward to welcoming a passionate Senior Analytics Engineer who is eager to turn data challenges into opportunities for positive change.
Take the next step in your career—apply now and help us shape the future of healthcare analytics.
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