Senior Data Platform Engineer, Enterprise Data & Analytics

Always Compassionate Home Care•Melville, NY

2d•Onsite

About The Position

Always Compassionate Health (ACH) is a leading integrated home and community-based healthcare provider committed to exceptional, patient-centered care. We are building a modern, data-driven organization to support growth across home care, pharmacy, mental health, and emerging care models. Our Enterprise Data & Analytics function plays a critical role in enabling operational efficiency, regulatory compliance, and strategic decision-making through scalable, cloud-based data platforms.

Requirements

Bachelor’s degree in computer science, engineering, information systems, or a related technical field.
3–7 years of experience in data engineering, data architecture, platform engineering, or similar roles.
Advanced SQL proficiency including complex joins, CTEs, window functions, and performance tuning.
Hands-on experience with Snowflake, including data modeling, warehouse management, and query optimization.
Strong understanding of data warehousing concepts, ELT/ETL patterns, and dimensional modeling (star/snowflake schemas).
Proficiency in Python or another scripting language for pipeline development and automation.
Ability to work independently and take ownership of platform reliability and data quality.

Nice To Haves

Experience integrating data from healthcare systems (EHRs, claims, billing) is strongly preferred.
Experience with cloud ecosystems (AWS preferred) and infrastructure-as-code practices.
Familiarity with data orchestration tools (e.g., Airflow, dbt, Fivetran).
Exposure to data governance, security, and compliance requirements in regulated industries.
Experience in healthcare, home care, or other operationally complex environments.

Responsibilities

Own and maintain the enterprise data model in Snowflake, including staging, transformation, and consumption layers.
Troubleshoot and resolve data pipeline issues across ingestion, transformation, and delivery stages.
Maintain an organized, well-documented ETL/ELT system across all existing integrations and source systems.
Enforce consistency and governance in the consumption layer to ensure downstream reporting and analytics are built on trusted data.
Lead the technical integration of new data pipelines as ACH expands into additional EHR platforms and business verticals.
Optimize SQL queries, warehouse configurations, and storage structures for performance and cost efficiency.
Manage Snowflake platform operations including warehouse sizing, access control, object management, and resource monitoring.
Collaborate with analytics and business stakeholders to ensure data structures support reporting, dashboarding, and AI-driven use cases.
Create and maintain documentation of data flows, pipeline configurations, data models, and platform standards.