Data Engineer

We are seeking a skilled Data Engineer. The ideal candidate will have a strong background in data engineering, analytics, and modern data architecture, with specific expertise in healthcare data processing and claims analytics. This role requires adaptability to a fast-paced Agile environment, excellent problem-solving skills, and the ability to assess and communicate data quality nuances effectively.

Responsibilities

• Build and maintain high-quality data pipelines to support analytic solutions
• Process and analyze standard healthcare data, including claims, ensuring accuracy and quality
• Design and implement modern data architecture patterns, such as medallion or data lakehouse
• Partner with business analysts to align technical solutions with business requirements

Requirements

• Education: Bachelor’s degree in Computer Science, MIS, Engineering, or a related field
• Experience:
  • At least 5 years in data engineering or architecture, with a minimum of 2 years working with healthcare claims data
• Demonstrated experience in at least 1-2 Agile projects, showcasing adaptability to changing priorities and evolving requirements
• Technical Skills:
  • Expertise in SQL and data analysis
• Proficiency in programming languages such as Python or Scala
• Familiarity with cloud computing platforms (e.g., AWS, Azure) and Infrastructure as Code (IaC) tools
• Experience with big data tools and frameworks, such as Hadoop, BigQuery, Hive, Impala, or Spark
• Knowledge of business intelligence tools like Tableau, Power BI, or Looker
• Understanding of modern data architecture patterns, including medallion and data lakehouse
• Soft Skills:
  • Strong problem-solving abilities and adaptability in Agile environments
• Excellent communication skills to effectively convey data quality nuances and technical concepts
• A strong work ethic and flexibility to meet evolving project demands

Preferred Qualifications

• Familiarity with machine learning, data science workflows, and statistical & data-mining techniques
• Experience in developing and maintaining data warehouses and big data solutions
• Exposure to Linux environments and Big Data development