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Top Tech Jobs & Startup Jobs in Boston, MA
Healthtech • Financial Services
Lead cross-functional technology projects through the SDLC, translate business priorities into plans, manage scope, risks, dependencies and stakeholders, standardize execution practices, report status, support change management, and drive continuous improvement to deliver projects on time and aligned to business objectives.
Top Skills:
AgileAzure DevopsConfluenceJIRASafeScrum
Healthtech • Financial Services
Design, develop, test, and support full-stack healthcare applications across the application stack. Modify and maintain existing software, enforce development best practices, participate in QA and SDLC processes, and collaborate with product, architecture, and support teams to deliver reliable solutions.
Top Skills:
AngularConfluenceCSSHTMLJavaJavaScriptJIRAJqueryMariadbMySQLSpring Boot
Healthtech • Financial Services
Implement and maintain ETL processes to ingest and transform hospital data into Meduit platforms. Build data models, ensure data integrity, document and track tasks in Jira, collaborate with cross-functional teams, support revenue-cycle data implementations, and mentor team members on best practices.
Top Skills:
AWSData WarehouseETLJIRAMicrosoft Sql Server (Mssql)MySQLSnowflakeSQLTalend Data Integration
Healthtech • Financial Services
The Database Engineer designs, optimizes, and evolves MySQL databases in high-volume settings, ensuring performance and reliability while collaborating with engineering and analytics teams.
Top Skills:
BashGitJIRAMssqlMySQLPythonSnowflake
Healthtech • Financial Services
The BI Reports Developer designs and maintains BI reports and dashboards, collaborates with stakeholders for reporting needs, analyzes data for trends, and ensures data validation.
Top Skills:
AWSAzureBi ToolsPower BIPythonRSigma ComputingSnowflakeSQLTableau
Healthtech • Financial Services
Lead strategy, design, and delivery of reporting, dashboards, KPIs, and analytics across divisions. Partner with stakeholders and technical teams to define requirements, prioritize BI product roadmap, enable predictive analytics and anomaly detection, and drive data-driven decisions to improve revenue cycle performance and client outcomes.
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