Data Engineer (Boston, USA)

Department: Data Engineering

Experience: 5+ Years

Job Location: Hybrid /Boston, MA

No. of Position: Multiple

Qualifications: Undergrad or Higher

Work Timings: 8:00 AM - 5:00 PM EST

Job Description:

We are seeking an experienced Data Engineer with 5+ years of hands-on experience in building scalable data pipelines and data ingestion frameworks. The ideal candidate must have a strong command of Python, excellent skills in data pipeline creation, and a deep understanding of healthcare data systems. Experience with Databricks and/or Snowflake is highly desirable.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines to ingest, transform, and store data from multiple sources.
• Build efficient and scalable ETL processes using Python, PySpark, and SQL.
• Implement and optimize data workflows on AWS, Azure, or hybrid cloud environments.
• Leverage Databricks, Snowflake, and/or Azure Data Factory for advanced data engineering solutions.
• Collaborate with data scientists, analysts, and other engineers to ensure seamless data access and integration.
• Ensure healthcare data security, compliance, and governance best practices are embedded into solutions.
• Identify bottlenecks in data ingestion and recommend optimizations.
• Develop automated solutions for data validation, monitoring, and reporting.
• Stay current with evolving data engineering practices and tools, particularly in the healthcare sector.

Required Skills and Experience:

• Bachelors degree in Computer Science, Engineering, or a related technical field.
• Minimum of 5 years of experience in data engineering roles, with at least 2 years working with healthcare data (mandatory).
• Strong proficiency in Python and SQL for data engineering tasks.
• Solid experience with data ingestion, ETL/ELT pipeline creation, and large-scale data integration.
• Experience with web scraping and data gathering from third-party sources is a plus
• Familiarity with healthcare interoperability standards like HL7, FHIR, etc. is a plus
• Exposure to automation tools like UI Path or Power Automate is a plus.
• Familiarity with cloud platforms such as AWS or Azure.
• Hands-on experience with Databricks and/or Snowflake (preferred).
• Experience with PySpark for large data processing.
• Deep understanding of HIPAA compliance and healthcare-specific data regulations.
• Excellent analytical, troubleshooting, and communication skills.
• This position does not offer visa sponsorship; applicants must have valid authorization to work in the U.S.