Data Analyst III, Data Platform Engineering Support (Healthcare)

Location: Remote across the United States; applicants must already be authorized to work in the United States without current or future visa sponsorship.

Base salary: $99,000–$114,000 annually, plus performance bonus and benefits subject to eligibility.

Company

hirify.global provides virtual care and develops healthcare products and services that help members manage chronic health conditions.

What you will do

• Own a portfolio of production data pipelines, analytical datasets, dashboards, and reporting assets.
• Translate business questions into data requirements, analytical approaches, and prioritized solutions with cross-functional stakeholders.
• Design, build, optimize, and support ETL/ELT processes and analytical datasets using Azure Synapse Analytics, Databricks, Snowflake, and dbt.
• Onboard and integrate client, payer, internal, claims, eligibility, EHR, and other healthcare data sources.
• Implement data quality standards, validation, monitoring, logging, alerting, documentation, and operational reporting.
• Lead root-cause analysis for complex production incidents, assess schema changes, develop business insights, mentor junior colleagues, and evaluate AI-enabled tools.

Requirements

• Bachelor’s degree in a quantitative, technical, or related field.
• 5+ years of professional experience in data analytics, analytics engineering, data engineering, business intelligence, or related disciplines.
• Advanced SQL and strong Python skills for analytics, automation, and data transformation.
• Experience building dashboards and visualizations with Power BI and/or Tableau.
• Experience writing maintainable, scalable, documented code and following engineering and analytics best practices.
• Hands-on experience with cloud-based data environments, including Azure and/or AWS; Databricks, Snowflake, and dbt; and production-grade pipelines and transformations.
• Experience with GitHub, version control workflows, code reviews, and Jira or a similar project management tool.
• Success partnering with cross-functional stakeholders to define requirements, deliver insights, and drive business outcomes.
• Strong problem-solving, independent working, communication, and storytelling skills, including presenting technical findings to technical and non-technical audiences.
• Must be currently authorized to work in the United States without visa sponsorship now or in the future.

Nice to have

• Experience with Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage Gen2.
• Experience with healthcare, payer, provider, population health, or other highly regulated data environments, including claims, eligibility, EHR, and related datasets.
• Working knowledge of HIPAA, PHI/PII privacy practices, production ETL/ELT monitoring, troubleshooting, validation, and data quality frameworks.
• Experience mentoring analysts or providing technical guidance.
• Knowledge of statistical analysis and data science methodologies; exposure to machine learning concepts.
• Experience using AI-enabled tools to improve productivity, development workflows, analysis, or documentation.
• Curiosity, adaptability, continuous learning, and process improvement orientation.

Culture & Benefits

• Full-time remote work within the United States.
• Flexible Vacation Policy, with manager approval required before taking time off.
• 80 hours of paid sick, safe, and caregiver leave annually for full-time employees.
• Performance bonus and benefits subject to eligibility.
• Inclusive, collaborative environment focused on innovation, growth, and improving access to care.

Hiring process

• Identity and credential verification, interviews conducted live or by video, and fraud or misrepresentation screening.
• Falsified information results in disqualification; official recruiting communications use the @teladochealth.com domain.