
10,000+ employees
⚕️ Healthcare Insurance
💰 Grant on 2023-06
Healthcare Insurance • Human Services • Healthcare
Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.
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10,000+ employees
⚕️ Healthcare Insurance
💰 Grant on 2023-06
Healthcare Insurance • Human Services • Healthcare
Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.
• Assist in building and maintaining data pipelines for ingesting, transforming, and loading data • Support ETL/ELT processes for structured and unstructured data sources • Work with engineers to troubleshoot and improve pipeline performance • Write and optimize SQL queries for data extraction and transformation • Perform data cleansing, validation, and basic transformations • Support development of reusable data components and scripts • Assist in managing and monitoring data workflows in cloud environments (AWS, Cloudera, etc.) • Support execution and scheduling of batch and real-time data jobs • Help maintain development, test, and production environments • Perform basic data validation and quality checks • Document data flows, pipelines, and transformations • Support adherence to data governance and security standards • Work with cross-functional teams (engineering, analytics, product) to understand data requirements • Participate in code reviews, team discussions, and agile ceremonies • Continuously learn new tools, technologies, and best practices in data engineering
• Master’s degree in Computer Science, Information Systems, or related field (or equivalent experience) • 0–2 years of experience in data engineering, software engineering, or related roles • Basic programming knowledge in Python and/or SQL • Understanding of data structures, databases, and ETL concepts • Familiarity with cloud platforms or willingness to learn
• generous, flexible vacation policy • educational assistance • comprehensive health benefits • 401(k) employer match • leadership and technical development academies
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