Data Engineer
Acentra Health, United States

Following a 2022 merger of CNSI and Kepro, Acentra Health combines clinical services, technology solutions, and data analytics to accelerate better health outcomes. This is a great time to join our team of passionate individuals working together to pursue the most effective solutions to today’s complex healthcare challenges. Our culture is fueled by passion and driven by purpose.

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• Are you an experienced Data Engineer looking for a new challenge?
• Are you looking to join a team that ensures a collaborative and inviting culture where everyone can thrive?

If so, you might be our next new team member!

Who we need:

Design, develop, and maintain scalable data pipelines, data models and systems to support the collection, integration, and analysis of healthcare and enterprise data. The primary responsibilities of this role include designing and implementing efficient data pipelines, architecting robust data models, and adhering to data management best practices.

In this position, you will play a crucial part in supporting the transition from legacy on-premise data curation, to a cloud based lake house data architecture. You will do this by transforming raw data into meaningful insights, through development of semantic data layers, enabling data-driven decision-making across the organization. You will also be an integral part of the decision making process around consolidation of data and refinement and development of data models.

Why us?

We are a team of experienced and caring leaders, clinicians, pioneering technologists, and industry professionals who come together to redefine expectations for the healthcare industry. State and federal healthcare agencies, providers, and employers turn to us as their vital partner to ensure better healthcare and improve health outcomes.

Singularly Focused. Mission Driven.

Accelerating Better Outcomes is our Mantra! We are mission-driven to innovate health solutions that deliver maximum value and impact.

We do this through our people.

You will have meaningful work that genuinely improves people's lives across the country. We are a company that cares about our employees, and we give you the tools and encouragement you need to achieve the finest work of your career.

Benefits are a key component of your rewards package. Our benefits are designed to provide you additional protection, security, and support for both your career and your life away from work. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts and more.

What you’ll do:

• Design and implement scalable and efficient data pipelines to acquire, transform, and integrate data from various sources, such as electronic health records (EHR), medical devices, claims data, and back-office enterprise data
• Develop data ingestion processes, including data extraction, cleansing, and validation, ensuring data quality and integrity throughout the pipeline
• Design and implement data models that align with domain requirements, ensuring efficient data storage, retrieval, and delivery
• Apply data modeling best practices and standards to ensure consistency, scalability, and reusability of data models
• Prepares specifications, designs, data models and diagrams from which databases and data stores can be developed
• Develops enterprise level relational and multidimensional data and object models that are related to metadata, metrics, transactions and data definition
• Collaborate with cross-functional teams, including subject matter experts, analysts, and engineers, to define data requirements and ensure data pipelines meet the needs of data-driven initiatives
• Design and implement data integration strategies to merge disparate datasets, enabling comprehensive and holistic analysis
• Implement data governance practices and ensure compliance with healthcare data standards, regulations (e.g., HIPAA), and security protocols
• Monitor and troubleshoot pipeline and data model performance, identifying and addressing bottlenecks, and ensuring optimal system performance and data availability
• Collaborate with stakeholders to define data quality metrics and establish data quality improvement initiatives
• Document data engineering processes, methodologies, and data flows for knowledge sharing and future reference
• Execute and implement all aspects of a cloud data migration initiative, including its impact on infrastructure, networks, and security for data projects
• Stay up to date with emerging technologies, industry trends, and healthcare data standards to drive innovation and ensure compliance

Job Rewards and Benefits