Senior Data Engineer (Insurance)- NY/NJ locals
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Required Qualifications:
5+ years of experience as a Data Engineer, preferably in the insurance domain.
Strong experience in entitlements processing or similar systems within the insurance industry.
Proficiency in Predictive Analytics, including model deployment and integration, using non-IBM tools (e.g., Python, R, TensorFlow, AWS, Azure, or other open-source tools).
Expertise in building and managing ETL pipelines, data ingestion, and data transformation processes.
Strong knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, etc.).
Experience with cloud platforms (AWS, Azure, or Google Cloud) and working with big data technologies such as Hadoop, Spark, or Kafka.
Familiarity with data governance and data security best practices, particularly in the insurance industry.
Strong problem-solving skills, attention to detail, and the ability to work in a fast-paced environment.
Excellent communication and collaboration skills for working with cross-functional teams.
Preferred Qualifications:
Familiarity with insurance claims processing, eligibility systems, or similar domains.
Experience with data modeling and data warehousing for large-scale systems.
Knowledge of regulatory requirements and compliance within the insurance industry.