Data Engineer

Job Title: Data Engineer (Only USC and GC)
Note: 2 to 4 years of healthcare experience is must
Location: Albany but Remote (Prefer candidates from Albany, the candidate need to be available to visit client location on need basis)
Duration: 4-6 Months (Possibility of extension)
Job Requisition:
Role Overview
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

• 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

• 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