Senior Data / Analytics Engineer

About Our Client

The organization is a rapidly growing healthcare practice specializing in advanced vein treatments aimed at improving quality of life by addressing symptoms of vein disease such as varicose veins and leg discomfort. Operating over 70 clinics across multiple states, the company integrates healthcare with performance marketing, operations, and technology, maintaining a high patient satisfaction score. As it scales, the organization focuses on building a scalable, governed, and AI-ready data foundation to support ongoing growth.

About the Opportunity

The Senior Data / Analytics Engineer is a key role within the Tech & Data team, reporting to the Director of Tech & Data. This position involves modernizing and scaling the data architecture across various functions including marketing, operations, finance, sales, and clinical systems. The role is critical for establishing standards, improving data practices, and building a healthcare data platform designed for long-term scalability and AI integration, supporting the organization's evolving data needs.

Responsibilities

• Data Architecture and Strategy: Design and implement scalable data architecture within Google BigQuery. Reorganize fragmented data into standardized, maintainable models. Establish naming conventions, modeling standards, data lineage, and governance frameworks. Separate and structure sensitive and non-sensitive data in strict compliance with HIPAA guidelines. Collaborate with leadership to define long-term data warehouse and transformation strategies.
• Transformation and Modeling: Own and expand dbt transformation layers and modeling practices. Build clean, scalable transformation pipelines and core business logic layers. Create reliable datasets for analytics, reporting, operations, and future AI initiatives. Standardize KPI logic across the enterprise and actively reduce duplicated transformations.
• Data Quality and Governance: Develop testing, QA, and documentation standards for data models and pipelines. Enhance overall data quality, observability, and infrastructure reliability.
• Pipeline and Tool Optimization: Build, maintain, and optimize automated data ingestion and transformation pipelines. Work daily with modern data stack platforms including Google BigQuery, dbt, Fivetran, Portable, Improvado, HubSpot, Tableau, and Google Cloud Platform. Troubleshoot core pipeline or integration issues and improve continuous monitoring and operational stability.
• AI Readiness and Cross-Functional Support: Support AI infrastructure readiness by developing AI-ready datasets and systems for future AI-enabled workflows. Collaborate cross-functionally with data analysts, marketing, operations, finance, and technology teams. Support analysts directly by improving foundational data models and reducing everyday data engineering burdens.

Requirements

• Industry Experience: 5-8+ years of progressive experience in analytics engineering, data engineering, or modern data stack environments.
• Technical Stack Expertise: Deep experience with Google BigQuery or similar cloud data warehouses. Hands-on experience with dbt and modern cloud-based ETL workflows.
• Engineering Proficiency: Strong proficiency in SQL and warehouse-based data transformation workflows. Proficiency in SFTP-based file transfer workflows, including key-based authentication methods and operational error handling.
• System and Data Modeling: Experience designing scalable data models, structured transformation layers, and building production-grade data pipelines. Experience working with complex operational and business systems data.
• Quality and Governance: Strong practical knowledge of data governance, system documentation, automated testing, and QA practices.
• Operational Delivery: Strong systems thinking and architectural judgment. Demonstrated ability to balance long-term architecture improvements with immediate, short-term operational business needs.

Compensation and Benefits

Compensation

• Base Salary: $150,000 annually, depending on experience.
• Bonuses: Position is eligible for additional bonus incentives.

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

About RemoteHunter

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