Analytics Engineer, Unity

🕒 September 22

🐊 Florida – Remote

🐊 Florida – Remote

💵 $120k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 3%

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Rightway

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 $100M Series C on 2021-03

Healthcare • Healthcare Insurance • SaaS

Rightway is a healthcare company focused on providing care navigation and pharmacy benefits management solutions. It specializes in helping employers and health systems lower healthcare costs and improve outcomes through personalized, proactive clinical support and transparent pharmacy benefits management. Rightway offers a human-first approach, providing real-time, one-on-one support to members to help them make better healthcare decisions and navigate the complexities of healthcare systems. The company aims to reduce healthcare costs while improving employee satisfaction with healthcare services.

📋 Description

• Design, develop and maintain scalable analytics-ready data models, primarily in dbt, supporting PBM and care navigation operations • Transform complex healthcare data into trusted datasets for operational reporting, client insights, financial analysis and strategic decision-making • Translate pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable and auditable data models • Partner with data and analytics engineers, data analysts and business stakeholders to deliver reliable reusable data products • Optimize data models and warehouse performance for large-scale PBM and care navigation datasets • Implement automated data quality checks, testing frameworks and reconciliation processes • Establish documentation standards, data lineage and analytics engineering guardrails • Contribute to version control, CI/CD, incremental models, code reviews and observability best practices • Contribute to data governance and modeling standards • Build data foundations for self-service analytics, AI-assisted insight generation and future agentic analytics engineering use cases • Monitor emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows

🎯 Requirements

• 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field • Strong experience with dbt (core or cloud) and modern analytics engineering best practices (required) • Advanced SQL proficiency • Experience developing data transformations and workflows using Python • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles • Experience building and maintaining production-grade data models, data quality tests, and documentation • Experience with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow or Dagster • Experience working within cloud environments, preferably AWS • Familiarity with Git, CI/CD, pull request reviews, testing, and deployment workflows • Interest or experience in AI-enabled development workflows and analytics tooling, including Claude, Claude Skills, Model Context Protocol (MCP), and AI-assisted engineering practices • Strong problem-solving and analytical skills • Effective communication skills and ability to collaborate with technical and non-technical stakeholders

🏖️ Benefits

• Bonus • Equity

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