
201 - 500 employees
Founded 2026
đĽ Healthcare
âď¸ SaaS
đ¤ B2B
đĽ Funding within the last year
đ° Private Equity Round on 2026-04
Healthcare ⢠SaaS ⢠B2B
Staritas is a healthcare supplyâchain intelligence and analytics company that provides independent, unbiased datasets and decisionâsupport tools to health systems and hospitals. It offers a range of products including a supply and capital dataset, utilization analytics, functional equivalents, recall management, predictive replacement planning, sourcing solutions, benchmarking, and consulting. Staritas uses AIâfueled analytics and market insights to help healthcare organizations reduce risk, improve value, and identify savings in purchasing, and is used by many top U. S. hospitals.
đ October 8
đşđ¸ United States â Remote
đľ $120k - $130k / year
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đť Ghost score 0%
Where this job comes from
Posted on Staritas's careers page, not through a job board
First seen by Remote Rocketship October 8

201 - 500 employees
Founded 2026
đĽ Healthcare
âď¸ SaaS
đ¤ B2B
đĽ Funding within the last year
đ° Private Equity Round on 2026-04
Healthcare ⢠SaaS ⢠B2B
Staritas is a healthcare supplyâchain intelligence and analytics company that provides independent, unbiased datasets and decisionâsupport tools to health systems and hospitals. It offers a range of products including a supply and capital dataset, utilization analytics, functional equivalents, recall management, predictive replacement planning, sourcing solutions, benchmarking, and consulting. Staritas uses AIâfueled analytics and market insights to help healthcare organizations reduce risk, improve value, and identify savings in purchasing, and is used by many top U. S. hospitals.
⢠Design, develop, and maintain scalable data pipelines and ETL/ELT processes ⢠Build and support data integrations across internal and external systems ⢠Develop and maintain data warehouses, data marts, and data models for reporting and analytics ⢠Ensure the quality, integrity, consistency, and availability of enterprise data assets ⢠Monitor, troubleshoot, and optimize data pipeline performance and reliability ⢠Collaborate with software engineers to integrate data solutions into applications and products ⢠Partner with business and analytics teams to translate data requirements into technical solutions ⢠Implement data validation, monitoring, and quality assurance processes ⢠Support data governance, security, privacy, and regulatory compliance initiatives ⢠Create and maintain technical documentation, data dictionaries, and data flow diagrams ⢠Evaluate and recommend improvements to data architecture, tools, and processes ⢠Perform other duties as assigned ⢠Work with Software Engineering, Product, Analytics, and business stakeholders to support healthcare technology platforms and business operations
⢠Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Mathematics, or a related field ⢠3-5 years of experience in data engineering, data integration, database development, or a related discipline ⢠1-2 years of experience with Master Data Management (MDM) systems; Informatica experience preferred ⢠Experience designing, developing, and supporting ETL/ELT processes and data pipelines ⢠Hands-on experience with relational and non-relational databases ⢠Experience supporting enterprise reporting, analytics, or business intelligence solutions ⢠Experience working in Agile development environments ⢠Experience within healthcare technology, healthcare analytics, healthcare data, or other regulated industries preferred ⢠Experience with cloud-based data platforms in Azure, AWS, or Google Cloud preferred ⢠Experience supporting large-scale data warehousing and analytics environments preferred ⢠Knowledge of data governance, master data management, and data quality frameworks preferred ⢠Relevant cloud, data engineering, or database certifications preferred ⢠Advanced SQL and database development knowledge ⢠Experience with ETL/ELT tools, workflow automation, and data orchestration platforms ⢠Experience with Microsoft SQL Server, PostgreSQL, MySQL, Snowflake, Databricks, or similar solutions ⢠Proficiency in Python, SQL, or other programming languages used for data engineering ⢠Knowledge of data warehousing, dimensional modeling, and modern data architecture principles ⢠Understanding of APIs, system integrations, and file-based data exchange methods ⢠Experience with Power BI, Tableau, or similar business intelligence and reporting platforms ⢠Understanding of data security, privacy, and access management practices ⢠Proficiency with Microsoft 365 applications, including Excel, Word, PowerPoint, and Outlook ⢠Ability to travel up to 10% based on business needs
⢠Competitive salary ⢠Performance bonus program ⢠Fully remote work environment ⢠Comprehensive benefits package ⢠401k match ⢠19 days of PTO per year ⢠10 holidays per year ⢠Mission-driven organization ⢠Medical, dental, and vision coverage ⢠Retirement savings plans with company contributions ⢠Paid parental and family leave ⢠Employee assistance and wellness resources ⢠Life and disability insurance ⢠Professional development opportunities ⢠Flexible work arrangements ⢠Company gatherings a few times a year, with travel and attendance expected
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