Expert Software Engineer
VeradigmPune, IndiaPosted 9 March 2026
Job Description
Expert Software Engineer (8+years, SQL, Azure Cloud, Data Engineering)- Remote, Pune, India Welcome to Veradigm! Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm is able to deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information. Veradigm Veradigm is here to transform health, insightfully. Veradigm delivers a unique combination of point-of-care clinical and financial solutions, a commitment to open interoperability, a large and diverse healthcare provider footprint, along with industry proven expert insights. We are dedicated to simplifying the complicated healthcare system with next-generation technology and solutions, transforming healthcare from the point-of-patient care to everyday life. For more information, please explore www.veradigm.com. How you will make an impact: Veradigm is expanding its Cloud Data Engineering team and is seeking a highly skilled and passionate Database/Data Engineer to support and evolve our Data Engineering platforms. This role is critical to the success of our VEHR (Veradigm Electronic Health Record) initiatives and requires deep expertise in Transactional SQL Server, ETL, and Azure cloud technologies. Key Responsibilities Lead and optimize stored procedures for performance on transactional databases. Analyze and manage data model complexity, including understanding the current and historical states of our data architecture. Driving performance and scalability for massive hybrid database infrastructures like SaaS and on-premises database ecosystems. Triage, organize, and prioritize incoming database development tasks and issues to ensure timely and effective resolution. Drive initial training and documentation efforts to ensure smooth onboarding and knowledge transfer across teams. Collaborate across teams—including Program Managers, Technical Leads, Platform Teams, and Data Architecture & Engineering—to design, build, scale, and support cloud-based analytics and data platforms. Automate routine tasks using custom scripts and open-source tools to improve operational efficiency. Participate in Agile/Scrum product development cycles, contributing to design, coding, testing, and deployment phases. Supporting ETL pipelines to ensure high performance and scalability across complex data models. Ideal Candidate Profile Bachelor’s degree in computer science engineering, Information Technology, or a related field. 8+ years of experience in database/data engineering with proven success in large-scale data environments. Proven track record in Design/architecting transactional databases across both IaaS and PaaS environments. Proficiency in SQL Server, including advanced store procedure development and optimization. Proficiency in C# and scripting languages such as PowerShell or other scripting languages highly desirable. Experience in data warehouses (DWH), ETL pipelines, and BI solutions across both IaaS and PaaS environments is a plus Strong analytical and organizational skills, with the ability to triage, prioritize, and manage complex tasks effectively is a must. Deep understanding of VEHR systems—prior experience is highly plus. Qualifications: A bachelor’s degree in computer science, Information Technology, or related technical discipline. Professional certifications in cloud platforms (e.g., Microsoft Azure), data engineering, or related technologies are highly preferred and considered a strong asset. Benefits Veradigm believes in empowering our associates with tools and flexibility to bring the best version of themselves to work. Through our generous benefits package with an emphasis on work/life balance, we give our employee ... (truncated, view full listing at source)
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