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Company Overview
This leading healthcare intelligence company empowers organizations with actionable data, analytics, and expertise to uncover the right markets, opportunities, and people. Headquartered just outside of Boston, Massachusetts, it operates across North America, Europe, and India, supporting a global client base of over 2,400 customers. The company fosters a collaborative and inclusive culture, recognized with multiple workplace honors including Built In’s 100 Best Places to Work in Boston, a Stevie Bronze Award for Great Employers, and Great Place to Work recognition in India.
Job Title: Data Engineer Employment Type: Regular
Job Description What You’ll Do:
Design and Develop Data Pipelines:
• Develop and maintain robust data pipelines using Python, Spark, Databricks, SQL, and SSIS
• Implement and orchestrate ETL/ELT workflows using Apache Airflow and SSIS
• Build reliable, repeatable processes to support ingestion and transformation of large healthcare datasets
Data Integration and Management:
• Integrate data from diverse sources including AWS, on-premises systems, and third-party vendors
• Work with file formats such as CSV, XML, Parquet, Delta, and more
• Apply data quality, cleansing, and curation practices to ensure accuracy and consistency
• Optimize storage and compute resources for performance, cost, and scalability
• Automate observability and monitoring across data pipelines and workloads
Metadata Management and Governance:
• Implement and manage Unity Catalog for metadata, lineage, and access control
• Ensure adherence to data governance, security, and privacy standards
• Maintain documentation, data dictionaries, and lineage tracking
• Contribute to automation of data observability and governance workflows
Performance Tuning and Troubleshooting:
• Tune and optimize Spark jobs for speed, reliability, and cost efficiency
• Diagnose and resolve performance bottlenecks across distributed systems
• Apply JVM tuning and Spark optimization techniques to improve throughput
Data Maturity Lifecycle:
• Support and enhance the Medallion architecture (bronze/silver/gold) to improve data quality and usability
• Ensure data is processed, enriched, and validated at each stage of the lifecycle
Collaboration and Continuous Improvement:
• Partner with data scientists, analysts, product teams, and business stakeholders to understand data needs
• Implement CI/CD pipelines to streamline deployment and testing of data assets
• Stay current with emerging technologies and recommend improvements to the data platform
What You Bring:
Technical Skills:
• Strong programming experience in SQL and Python or Scala
• Hands-on experience with Apache Spark and Databricks
• Experience with Apache Airflow or similar orchestration tools
• Knowledge of data cleansing, curation, and quality frameworks
• Familiarity with Unity Catalog or other metadata management tools
• Understanding of data governance, security, and compliance best practices
• Experience working with AWS cloud services
• Proficiency with CI/CD tools (Jenkins, GitLab CI, etc.)
• Experience tuning Spark jobs and JVM-based applications
• Experience implementing or working within a Medallion architecture
Soft Skills:
• Strong analytical and problem-solving abilities
• Excellent communication and cross-functional collaboration skills
• Ability to work independently and within a team environment
• High attention to detail and commitment to quality
Preferred Qualifications:
• AWS certifications (e.g., AWS Certified Data Analytics)
• Experience with SQL and NoSQL databases
• Background in a fast-paced, data-centric SaaS or healthcare environment
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
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