18 May
Data Engineer
New York, New york city , 10007 New york city USA

Our client, a Health Insurance firm in NYC is looking for a Data Engineer. The Data Engineer will bring their expertise in designing and developing highly robust, repeatable and scalable workflow patterns to ingest, integrate and publish a wide variety of data from internal and external sources. They will be relentless in their focus on delivery and end ensuring that our data workflows and pipelines are enterprise-grade – reliable, scalable and secure.Responsibilities include:

  • Designing, implementing, maintaining highly robust, scalable and flexible ETL jobs and data workflows
  • Automating workflows leveraging DevOps framework where applicable
  • Ensuring quality of technical solutions as data moves across Healthfirst environments
  • Working with solution and data architects to develop, construct, test and maintain architectures, prototypes and design solutions
  • Helping to maintain the integrity and security of the company data
  • Providing insight into the changing data environment, data processing, data storage and utilization requirements for the company and offer suggestions for solutions
  • Articulating both the technical implications as well as data usage implications of proposed solutions or solution options to a wide variety of stakeholders.
  • Working directly with business users to align solutions with business requirements
  • Relentless focus on continuous improvement of solutions in to improve data reliability, efficiency, quality and more
  • Create data monitoring capabilities for each business process and work with data consumers on updates
  • Collaborating with cross functional teams comprised of technical and business colleagues
Minimum Qualifications:
  • 5 + years’ experience in a data engineering
  • Experience in the development of data platforms such as data warehouse, data lakes, data marts etc.
  • Proficiency in SQL a must - knowledge of SQL and multiple programming languages in order to optimize data processes and retrieval
  • 5+ years’ experience in data programing languages such as Python or Spark
  • 5+ years’ experience working in a Big Data ecosystem processing data; includes file systems, data structures/databases, automation, security, messaging, movement, etc.
  • 3+ years’ experience working in a production cloud infrastructure
  • Prior backgrounds with AWS services (e.g. lambda, S3, Aurora, Redshift);
  • Exposure to CI/CD for software systems
  • Must be able to develop creative solutions to problems
  • Demonstrates critical thinking skills with ability to communicate across functional departments to achieve desired outcomes
  • Ability to work independently and as part of a team
  • Skilled in Microsoft Office including Project, PowerPoint, Word, Excel and Visio
Preferred Qualifications:
  • Hands on experience in leading healthcare data transformation initiatives from on-premise to cloud deployment
  • Demonstrated experience working in an Agile environment as a Data Engineer
  • Experience with other Cloud Data Warehouses (Big Query, Snowflake);
  • Knowledge of provider-sponsored health insurance systems/processes and the Healthcare industry
  • Proficiency with graph and noSQL databases


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