Data Engineer

We are hiring a Data Engineer on behalf of one of our prestigious Fortune 500 Healthcare clients in the United States. This is an excellent opportunity to work on large-scale healthcare data platforms, modern cloud technologies, and enterprise-grade data engineering initiatives that directly support critical business and patient-care operations.

The ideal candidate should have hands-on experience in building scalable data pipelines, working with cloud-based data ecosystems, and supporting analytics and reporting solutions in a fast-paced enterprise environment.

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.
  
  

Qualifications

• 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.
• Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.
• 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.
  
  

Preferred

• Healthcare domain experience preferred
• Exposure to HIPAA-compliant environments is an advantage
• Strong analytical and problem-solving skills
  
  

What We Offer

• 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.
  
  

Work Authorization

Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.

Skills: python,healthcare,data,gcp,aws,cloud,big data,sql,analytics,azure,data engineering,etl