Principal Data Engineer

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare TechnologyIndustries

Requirements

Candidates should possess 8+ years of engineering experience, including a minimum of 3 years in technical leadership. A proven record of building production-grade data infrastructure and platforms from inception is required, along with experience in at least one Enterprise Data Platform (Snowflake, Databricks) within highly regulated environments. Experience with multi-tenant system architecture, complex access and security requirements, Lambda vs Kappa Architecture patterns, major cloud platforms (AWS, Azure, GCP) and their data services, cloud-native data architectures, optimization, containerization (Docker, Kubernetes), and IAC tools (Terraform preferred) is necessary. Expertise in role-based access control, audit logging, data governance, data security, encryption, and tokenization is essential. Prior experience with PHI/PII and audited environments, HIPAA, SOC2, HITRUST compliance, and healthcare interoperability standards (FHIR, HL7) or equivalent experience in other regulated fields is required. Core competencies include Python, Advanced SQL, Apache Spark (or other big data technologies), and Apache Kafka (or other streaming technologies).

Responsibilities

The Principal Data Engineer will drive vendor evaluation and adoption of critical data platform tools. They will architect and lead the implementation of a production-grade, multi-tenant data lake handling PHI at scale. This role involves leading cross-functional implementation of new data infrastructure, establishing and maintaining SLAs for critical data processing and availability, and creating operational accountability frameworks for the entire data pipeline lifecycle. Responsibilities also include maintaining legacy pipelines and processing while facilitating the replacement of older systems with new tooling, and guiding architectural decisions to balance immediate needs with long-term goals of scalability, compliance, and enhanced capabilities. Additionally, the Principal Data Engineer will provide mentorship to existing team members.

Skills

Data Platform Architecture

Data Lake Implementation

PHI Handling

Vendor Evaluation

Mentorship

Cross-functional Collaboration

Trella Health

Healthcare data analytics solutions provider

About Trella Health

Trella Health provides healthcare data analytics solutions to various clients in the healthcare sector, including home health and hospice providers, skilled nursing organizations, Accountable Care Organizations (ACOs), Direct Contracting Entities (DCEs), and health systems. The company collects and analyzes data to help healthcare providers make informed decisions, enhance patient outcomes, and grow their businesses. Trella Health's analytics solutions offer complete visibility into growth and performance, allowing clients to identify areas for improvement. The products integrate with existing systems like Customer Relationship Management (CRM) and Electronic Medical Records (EMR), facilitating easier access to necessary data. Unlike many competitors, Trella Health focuses on continuous improvement of its solutions based on user feedback. The goal of Trella Health is to empower healthcare organizations to optimize their operations, improve patient care, and drive sustainable growth.

Atlanta, GeorgiaHeadquarters

2015Year Founded

$5.1MTotal Funding

EARLY_VCCompany Stage

Data & Analytics, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Paid Vacation

Flexible Work Hours

Company Equity

Risks

Increasing Medicare Advantage enrollment may reduce Fee-For-Service data availability.

Decrease in skilled home health agencies limits data for Trella's analytics solutions.

New data set integrations may require significant resources and alignment with customer needs.

Differentiation

Trella Health is an 'Innovator' in CMS's Virtual Research Data Center Program.

Access to 100% of Medicare Part A and B claims data sets Trella apart.

Trella integrates CRM and EMR systems, enhancing data accessibility for healthcare providers.

Upsides

Growing demand for data-driven healthcare solutions boosts Trella's market potential.

Expansion of telehealth services increases need for Trella's comprehensive data analytics.

Rising importance of value-based care models supports Trella's advanced analytics adoption.

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