Jr Data Engineer
Junior Data Engineer at Health Catalyst (Singapore, remote) who acquires, integrates, and manages data from healthcare source systems — building ETL pipelines and scalable relational/NoSQL database solutions, optimizing SQL, and maintaining HIPAA-compliant data quality. Core stack: SQL Server/Oracle, ETL, MongoDB/Elasticsearch, Azure.
- Compensation
- Not disclosed
- Location
- SG Remote
- Work setup
- Remote
- Seniority
- Junior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Proficiency in SQL and relational database principles
- 2+ years of experience with RDBMS (e.g., SQL Server, Oracle) and SQL optimization techniques
- Experience with ETL concepts, data integration, and troubleshooting
- Strong analytical and problem-solving skills
- Familiarity with high-volume OLTP environments and performance tuning strategies
- Working knowledge of NoSQL technologies (e.g., MongoDB, Elasticsearch)
- Exposure to cloud platforms (Microsoft Azure preferred)
- Ability to work independently and communicate effectively with technical and non-technical stakeholders
Nice to have
- Experience with stored procedures, T-SQL, and SSIS
- Knowledge of HL7, CCD documents, and EDI X12 claims processing
- Familiarity with Agile/Scrum development methodologies
- Understanding of data structures (XML, JSON) and REST API integration
- Experience with Big Data technologies (e.g., Hadoop)
- Git and version control proficiency
- Bachelor's degree in Computer Science, Information Technology, or related field
- 2+ years of experience in technology or healthcare-related data engineering roles
Full description
Join one of the nation’s leading and most impactful health care performance improvement companies. Over the years, Health Catalyst has achieved and documented clinical, operational, and financial improvements for many of the nation’s leading healthcare organizations. We are also increasingly serving international markets. Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through:
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Data: integrate data in a flexible, open & scalable platform to power healthcare’s digital transformation
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Analytics: deliver analytic applications & services that generate insight on how to measurably improve
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Expertise: provide clinical, financial & operational experts who enable & accelerate improvement
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Engagement: attract, develop and retain world-class team members by being a best place to workRole: Data Engineer
Location: Singapore, Singapore
Travel: 5%
Be part of a World Class Team responsible for:
The Data Engineer is responsible for acquiring, integrating, and managing data from various sources within a complex ecosystem. This role involves designing and implementing scalable, reliable, and high-performance database solutions in a multi-platform environment, leveraging both relational and NoSQL technologies. The Data Engineer works closely with stakeholders to ensure data quality, security, and compliance while supporting the development of innovative solutions for data persistence and processing.
What you'll own in this role:
- Acquire and integrate data from multiple source systems, ensuring accuracy and consistency.
- Design, implement, and maintain scalable database solutions for long-term reliability and performance.
- Build automated, sustainable solutions while minimizing defects and technical debt.
- Evaluate and optimize system architecture to improve uptime and responsiveness.
- Develop and maintain ETL processes and data pipelines.
- Perform data mapping, integration, and quality checks to ensure valid and relevant data.
- Troubleshoot and resolve complex data issues and database stability problems.
- Optimize SQL queries, indexes, and stored procedures for maximum efficiency.
- Participate in code reviews and ensure compliance with standards and best practices.
- Incorporate unit and regression testing for defect-free builds and releases.
- Maintain compliance with security and privacy regulations (e.g., HIPAA).
What you bring to the role:
- Proficiency in SQL and relational database principles.
- 2+ years of experience with RDBMS (e.g., SQL Server, Oracle) and SQL optimization techniques.