Remote Analytics Engineer — Healthcare Data & dbt

SportsTechJobs; New York (NY); Remote; USD 120,000 - 150,000; Full time

Job summary

Rightway is seeking an Analytics Engineer to join the Analytics Platform team to design, build, and maintain scalable data products that power our PBM and Care Navigation organizations. You will transform healthcare data into analytics-ready datasets for operational reporting, client insights, financial analysis and strategic decision-making.

You will partner with Analytics, Data Engineering, Clinical, Client Success, Product and Operations to build reliable data models, establish engineering

Qualifications

• 3+ years of experience in analytics engineering, data modeling, or data warehousing.
• Strong experience with dbt (core or cloud) and modern analytics engineering practices.
• Advanced SQL proficiency and Python for data transformations.
• Experience with cloud data warehouses (Redshift, Snowflake, BigQuery) and orchestration (Airflow, Dagster).

Responsibilities

• Design, develop and maintain scalable analytics-ready data models powering PBM and care navigation.
• Translate complex workflows into transparent, auditable data models.
• Partner with data and analytics engineers, analysts and stakeholders to deliver reliable data products.
• Implement automated data quality checks, testing frameworks and governance guardrails.

Skills

dbt

SQL

Python

Dimensional modeling

Medallion architecture

Semantic modeling

Data warehousing

CI/CD

Git

Data quality

Observability

AI-enabled analytics

Tools

Amazon Redshift

Snowflake

BigQuery

Airflow

Dagster

AWS

Job description

Rightway is seeking an Analytics Engineer to join the Analytics Platform team to design, build, and maintain scalable data products that power our PBM and Care Navigation organizations. You will transform healthcare data into analytics-ready datasets for operational reporting, client insights, financial analysis and strategic decision-making.

You will partner with Analytics, Data Engineering, Clinical, Client Success, Product and Operations to build reliable data models, establish engineering