Salary: $110,000 - 140,000 per year
Requirements:
• Bachelors degree in Computer Science, Information Systems, or a related field; equivalent experience will be considered.
• Minimum of 3 years of hands-on experience in data engineering or similar roles.
• Proficiency in programming languages and tools including Python, T-SQL, SQL Server Management Studio (SSMS), Azure Data Factory, and Databricks.
• Solid background in data integration, ETL development, and constructing data warehouses.
• Understanding of data governance standards and security measures, particularly in healthcare environments.
• Strong analytical abilities to translate raw data into actionable insights.
Responsibilities:
• Design, test, and uphold scalable data pipelines and ETL processes.
• Collaborate on system architecture and data flow strategy design.
• Engage with business units and technical teams to troubleshoot data challenges and support analytics initiatives.
• Execute data wrangling tasks like ingestion, transformation, and cleansing to facilitate effective analysis.
• Translate intricate business requirements into detailed technical plans and data-driven solutions.
• Partake in peer code evaluations and disseminate best practices within the engineering team.
• Create and maintain documentation concerning data workflows, architecture, and models.
• Develop customized reports and visualizations for internal stakeholders and external partners.
• Aid in administering and diagnosing issues within a large volume of data pipelines.
• Collaborate with software engineers to ensure data integrity across applications.
Technologies:
• Azure
• Databricks
• ETL
• Flow
• Support
• Python
• SQL
• Security
• Cloud
• AI
• BitBucket
• JIRA
More:
We are a technology-focused company dedicated to enhancing transparency and efficiency in healthcare payments. Our mission is to foster improved outcomes for both providers and payers by minimizing waste and enhancing collaboration throughout the healthcare landscape. As a remote Data Engineer, you will play an essential role in constructing, optimizing, and managing data solutions that underpin our expanding range of products and services. We offer excellent benefits including comprehensive medical, dental, and vision coverage, a 401k plan with company matching, paid time off, sick leave, holidays, parental leave, and a tuition reimbursement program.
last updated 6 week of 2026
