[Hiring] Senior Data Engineer @RxSense

Role Description

The Senior Data Engineer owns the data platform end to end — designing, building, and maintaining the infrastructure, pipelines, and governed data layers that power analytics and downstream consumers across the organization. This is a hands-on engineering role centered on cloud data platform development, pipeline orchestration, and data modeling at scale.

• The guiding principle is to build once, consume everywhere — define transformations and metrics a single time, governed and version-controlled in the warehouse, then serve them consistently to every downstream consumer: BI tools, client-facing reporting, and AI systems.
• The ideal candidate is comfortable building data platforms and systems from scratch, thrives in a platform development and maintenance environment, and brings strong hands-on experience with Snowflake and workflow orchestration tools such as Apache Airflow and dbt (or equivalent platforms).
• This role does not own BI visualization — your work spans raw ingestion through the governed gold layer.

Qualifications

• 5+ years of hands-on experience in data engineering — building pipelines, data models, and platform infrastructure in a data-driven organization.
• Snowflake: Proven, hands-on production experience building data models and transformations in Snowflake. Deep familiarity with Snowflake architecture, performance optimization, and cost management.
• Workflow Orchestration (must have): Hands-on experience with Apache Airflow or an equivalent DAG-based orchestration platform (e.g., Prefect, Dagster, Mage). Ability to design, deploy, and operate complex pipeline workflows.
• dbt: Demonstrated experience using dbt for transformation modeling, testing, and documentation in a production warehouse environment. Equivalent semantic layer tooling experience considered.
• Strong SQL proficiency — able to write, optimize, and review complex queries across large datasets.
• Experience building data platforms or systems from scratch — not just extending existing infrastructure but designing and standing up new ones.
• Comfort with platform development and maintenance as a long-term ownership model — not just project delivery.
• Fluency working in the AI era: building with coding agents, setting up development environments, and using AI tooling as a core productivity multiplier.
• Familiarity with software engineering practices: version control (Git), CI/CD pipelines, automated testing, and code review.
• Strong communication skills — able to translate business requirements into technical data platform decisions.

Requirements

• Experience in pharmacy benefits management, healthcare technology, or a related regulated industry.
• Experience with cloud infrastructure and data platform tooling (AWS, Azure, or GCP) alongside the data stack.
• Familiarity with data governance frameworks, data contracts, or data mesh principles.
• Experience with streaming or near-real-time data pipelines (e.g., Kafka, Kinesis, Spark Streaming).
• Exposure to semantic/metrics layer tooling (e.g., MetricFlow, Cube, LookML).
• Experience building demo environments or client-facing data products.

Benefits

• Salary Range: 145,000 - 165,000
• RxSense believes that a diverse workforce is a more talented and productive workforce.
• Equal Opportunity and Affirmative Action employer.
• Recruitment process is free from discriminatory hiring practices.
• All qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin.
• Qualified applicants will not be discriminated against on the basis of disability or protected veteran status.