Senior Database Engineer at Abax Health

This a Full Remote job, the offer is available from: Connecticut (USA)

Overview

Abax Health is on a mission to close care gaps and connect healthcare data in ways that improve outcomes for patients and providers alike. We are seeking an experienced Senior Database Engineer to design, optimize, and manage enterprise data systems that power analytics, reporting, and business intelligence solutions. This role blends deep technical database expertise with architectural leadership—driving performance, scalability, and data quality across the organization’s data ecosystem. This role sits at the intersection of engineering and business operations responsible for ensuring our data pipelines and warehouses are fast, reliable, and scalable as we grow from early-stage client volume to a multi-client enterprise,

Key Responsibilities

• Architect and optimize data warehouse platforms and underlying database systems.
• Design and implement data ingestion and transformation pipelines (ETL/ELT) using ADF, DBT, or similar tools to ensure reliable ingestion from multiple sources (SFTP, HL7, FHIR, etc).
• Develop and maintain logical and physical data models supporting internal, analytics, dashboards, and client facing reporting applications,
• Ensure database performance, scalability, and reliability through tuning, indexing strategies, and proactive monitoring across production and staging environments.
• Lead strategic data initiatives by establishing architecture standards that enhance scalability, efficiency and cost optimization across the data platform.
• Collaborate cross-functionally with software engineering, implementation, operations, and business teams to align on data needs and governance practices.
• Administer, Maintain and Monitor database systems to ensure availability, integrity, recoverability and secure access in alignment with disaster recovery readiness and business continuity best practices.
• Implement source control and DevOps practices (e.g., GitHub, ADO, etc) for database change management, CI/CD automation, and deployment of database changes.
• Mentor junior engineers in SQL development, reporting, analytics, and performance tuning best practices
• Implement and enforce data governance standards for security, compliance, and consistency across all environments.

Qualifications

• 10+ years of experience in database engineering, architecture, or administration, including production-grade SQL Server environments.
• Proven experience designing and automating ETL pipelines and data warehouse solutions supporting analytics, reporting, and business intelligence platforms (e.g., Power BI, Tableau).
• Strong expertise in database performance optimization and modernization across on-prem and cloud environments, including SQL tuning, indexing, and cost/performance optimization for multi-tenant systems.
• Hands-on experience with MS-SQL, MySQL, PostgreSQL, and other Database Technologies
• Familiarity with CI/CD pipelines, source control systems, and automated deployment of database artifacts.
• Knowledge of cloud data architectures and cost optimization in Snowflake or similar platforms.
• Strong understanding of data modeling, schema design, and normalization principles.
• Excellent collaboration and communication skills with the ability to translate complex data concepts into actionable insights.

What Success Looks Like

• Stabilize Core Data Infrastructure (Reliability, Security, and Performance)
• Maintain fast, reliable, and scalable databases that support both internal analytics and client-facing reporting.
• Database systems are secure, recoverable, and compliant — fully aligned with disaster recovery and business continuity standards.
• Ensure that reports and analytics can be run with no impact to performance of production systems.
• · Automate and Evolve Data Operations
• ETL/ELT pipelines are automated, resilient, and efficient, capable of ingesting data from multiple formats (SFTP, HL7, FHIR, etc.) with minimal manual intervention.
• The data platform supports faster insights, more accurate reporting, and improved decision-making across the enterprise.
• · Enable Advanced Analytics and Self-Service
• The ability for end users to quickly create and schedule their own reports.
• The ability to analyze data across multiple domains and/or multiple domains across multiple clients.
• · Innovate and Differentiate
• Successful implementation of ChatGPT-like model using Retrieval-Augmented Generation (RAG) of data within the Abax Health domain.

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