[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. KNOWFINITY is hiring a Data Engineer on behalf of a prestigious Fortune 500 Healthcare client in the United States. The role involves working on large-scale healthcare data platforms and enterprise-grade data engineering initiatives to support critical business and patient-care operations.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data
• Build and optimize data workflows using modern cloud and big data technologies
• Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions
• Develop data integration processes across multiple healthcare and enterprise systems
• Ensure data quality, integrity, governance, and security standards are maintained
• Monitor and troubleshoot data pipelines and production jobs
• Support reporting, analytics, and business intelligence initiatives
• Participate in performance tuning and optimization of databases and data processing systems

Skills

• 2+ years of experience as a Data Engineer or in a related data-focused role
• Strong experience with SQL and relational databases
• Hands-on experience with Python, PySpark, or Scala
• Experience working with ETL tools and data pipeline development
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of data warehousing concepts and dimensional modeling
• Strong analytical, problem-solving, and communication skills
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• Candidates must be legally authorized to work in the United States
• Experience with big data technologies like Spark, Hadoop, or Databricks is preferred
• Healthcare domain experience preferred
• Exposure to HIPAA-compliant environments is an advantage
• Strong analytical and problem-solving skills

Benefits

• Opportunity to work with a Fortune 500 Healthcare organization.
• Exposure to enterprise-scale cloud and data engineering projects.
• Collaborative and technology-driven work environment.
• Competitive compensation package.
• Long-term growth and career advancement opportunities.
• Visa sponsorship is available for eligible candidates.

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