Analytics Engineer

Rightway

Posted 2mo ago

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Design, build and maintain scalable data products
Transform complex healthcare data into analytics ready datasets
Partner with teams to build reliable and scalable data models
Develop high-quality data products
Establish engineering best practices
Help evolve the organization toward AI-enabled analytics
Design, develop and maintain scalable, analytics ready data models in dbt
Translate complex workflows, business rules and processes into data models
Deliver reliable data products leveraged across multiple use cases
Optimize data models and warehouse performance
Implement automated data quality checks, testing frameworks and reconciliation processes
Establish documentation standards, lineage and analytics engineering guardrails
Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability
Contribute to data governance by establishing modeling standards, documentation and guardrails
Build data foundations that enable future agentic analytics engineering use cases
Incorporate AI into analytics engineering workflows

3+ years of experience in analytics engineering, data modeling, data warehousing or a related field
Strong experience with dbt and modern analytics engineering best practices
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 working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery
Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster
Experience working within cloud environments, preferably AWS
Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows
Interest or experience in leveraging AI-enabled development workflows and analytics tooling
Strong problem-solving and analytical skills
Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders

willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices

Skills