Sr Data Engineer /Technical Lead

New York, NY

Posted: 02/08/2021 Job Number: 14456810

Job Description

  Our client, a healthcare firm in NYC, is looking for a Sr Data Engineer who can act as a technical lead
The Senior 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 ensuring that our data workflows and pipelines are enterprise-grade – reliable, scalable and secure.

Responsibilities include:
  •   Capable of working without supervision.
  •   Can lead, guide and mentor other tech staff on the team
  •   Collaborate closely with PO, SM to shape and influence delivery
  •   Very comfortable with demonstrable experience on AWS
  •   Sound fundamentals in software design, not just programming
  • Designing, implementing, maintaining highly robust, scalable and flexible data pipelines
  • Automating workflows leveraging DevOps framework (CI/CD/CT) 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
  • Coach and mentor junior technical staff – for instance, but not limited to,  developers and testers
  • 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
  • Working with solution and enterprise architects to conduct research for industry best practices and developments and recommend new features and/or improvements to existing practices and design.
  • Create data monitoring capabilities for each business process and work with data consumers on updates
  • Coaching peers and other members of the team through new solutions, concepts and technologies
Minimum Qualifications:
  • A firm foundation in software development principles and practices
  • 7+ years' experience in a data engineering
  • Proficiency in SQL a must - knowledge of SQL and multiple programming languages in order to optimize data processes and retrieval
  • 10+ years' experience in data programing languages such as Python, Java etc
  • 4+ 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/CT 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
  • Excellent interpersonal skills with proven ability to influence with impact across functions and disciplines
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects/deadlines, identifying the necessary steps and moving forward through completion
  • Skilled in Microsoft Office including Project, PowerPoint, Word, Excel and Visio
  • Bachelor' s Degree in Computer Engineering or related field
 
Preferred Qualifications: 
  • Proven track record of success directing the efforts of data engineers and business analysts within a deadline-driven and fast-paced environment
  • 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 required; expertise in SQL
 

Meet Your Recruiter

Michael King

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