[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. CitiusTech is a digital and enterprise AI company focused on healthcare and life sciences organizations. The company seeks a Senior Data Engineer to design, build, and optimize healthcare data platforms using Snowflake, SQL, Medallion Architecture, and Provider Data Management. The role also involves developing ETL/ELT pipelines, ensuring data quality and governance, engaging with stakeholders, and providing technical leadership.

Responsibilities

• We are looking for a highly experienced Senior Data Engineer with 10-12+ years of experience in designing, building, and optimizing enterprise data platforms within the Healthcare domain. The ideal candidate must possess strong hands-on expertise in Snowflake, SQL, Medallion Architecture, and Provider Data Management. The candidate will be responsible for designing scalable and high-performing data solutions, developing and optimizing ETL/ELT pipelines, implementing Medallion Architecture frameworks, and ensuring data quality and governance across healthcare data platforms. As a client-facing role, the candidate should be comfortable interacting directly with business stakeholders, conducting solutioning workshops, gathering requirements, and translating business needs into technical solutions. The individual will also be expected to provide technical leadership, mentor team members, and drive successful project delivery

Skills

• Remote in USA
• 12+ years of overall experience in Data Engineering and Data Warehousing
• 5+ years of hands-on experience with Snowflake (mandatory)
• Strong Healthcare domain experience (mandatory)
• Experience working with Provider Data, Provider Network
• Expert-level SQL development, optimization, and performance tuning
• Deep understanding and implementation experience of Medallion Architecture (Bronze, Silver, Gold layers)
• Experience designing and developing scalable ETL/ELT pipelines
• Strong Data Modeling and Data Warehousing expertise
• Advanced Excel skills for data analysis, reconciliation, and validation
• Client-facing experience with strong stakeholder management and communication skills
• Ability to lead technical discussions, requirement gathering, and solution design workshops
• Experience with data quality, governance, lineage, and best practices
• Git Experience - Expert knowledge of Git workflows including branching strategies, pull requests, merge conflict resolution, rebasing, code reviews, and release management
• Master Data - Experience designing Master Data Management solutions, reference data structures, crosswalk tables, source-to-target mapping strategies
• Data Modeling - Strong expertise in dimensional modeling, natural and surrogate key strategies, referential integrity, uniqueness enforcement, and scalable schema design
• Engineering Degree – BE / ME / BTech / M Tech / B.Sc. / M.Sc. Or any Bachelors Degree
• Data Engineer – Healthcare Data Engineering
• Snowflakes
• Strong hands-on experience in Snowflake
• SQL
• Provider Data Management
• Technical certification in multiple technologies is desirable
• Azure Data Factory (ADF)
• Databricks
• Dbt
• Python
• Azure Cloud Services
• CI/CD implementation experience
• Agile/Scrum delivery methodology
• Experience in Healthcare Analytics and Reporting
• Team leadership and mentoring experience

Benefits

• Opportunities to build expertise across emerging technologies, industry domains, and next-generation engineering practices
• CitiusTech Academy Programs
• Leadership Development Programs
• Mentorship Initiatives
• Capability-led Learning Tracks
• Specialized Healthcare Certifications
• On-site, hybrid, or flexible work models depending on project and client needs

Company Overview

Company H1B Sponsorship