Janssen Global Services - Palm Beach Gardens, FL

posted about 2 months ago

Full-time - Senior
Palm Beach Gardens, FL

About the position

As a Senior Data Engineer at Medical Device Business Services, Inc., you will play a pivotal role in building and managing data pipelines, databases, and large-scale processing systems. Your primary responsibilities will include designing and implementing data models, as well as automating ETL (Extract, Load, Transform) pipelines using SQL and Python within our cloud-based technology stack. You will leverage front-end technologies such as Power BI and Tableau to visualize data and provide insights to stakeholders. Collaboration is key in this role, as you will work closely with domain experts, business leaders, IT partners, and product management teams to review product requirements and user stories. You will propose viable implementation options and define specific software tasks to ensure that the data engineering processes align with business objectives. Additionally, you will be responsible for ensuring that best practices and patterns are implemented in data engineering, maintaining high code quality through code reviews, and conducting thorough quality control testing, including user acceptance testing (UAT), system testing, and unit testing. Your contributions will enable the development of data solutions that address critical business problems and drive value for the organization, particularly in areas such as Supply Chain and Orthopedics. Furthermore, you will play a significant role in advancing the digital acumen of the organization, ensuring that data-driven decision-making is at the forefront of our operations.

Responsibilities

  • Build and manage data pipelines, databases, and large-scale processing systems.
  • Build data models and implement and automate ETL pipelines using SQL and Python.
  • Leverage front-end technologies such as Power BI and Tableau.
  • Collaborate with domain experts, business leaders, IT partners, and product management teams to review product requirements and user stories.
  • Propose viable implementation options and define specific software tasks.
  • Ensure patterns and best practices are implemented in data engineering.
  • Ensure code quality through code reviews and thorough QC testing.
  • Enable the development of data solutions that address business problems and drive value for the organization.
  • Contribute to advancing the digital acumen of the organization.

Requirements

  • Master's degree in Computer Science, Statistics, Business Analytics, Information Systems, Operations Research, or a related field.
  • 1 year of experience in the job offered or in a Senior Data Engineer-related occupation.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Short- and long-term disability insurance
  • Business accident insurance
  • Group legal insurance
  • 401(k) retirement plan
  • Long-term incentive program
  • Vacation - up to 120 hours per calendar year
  • Sick time - up to 40 hours per calendar year
  • Holiday pay - up to 13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
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