Data Engineer IV – Snowflake, Databricks

Job Description:

  • Work in a fast-paced agile/scrum environment
  • Develop basic to highly advanced code and designs to maintain new and existing technology systems following company standards
  • Accountable to develop and deliver technical documentation
  • Undergo peer code and design reviews to ensure stable and high-quality production-ready code
  • Build and maintain data solutions that meet or exceed industry regulatory requirements
  • Leading and authoring of technical specifications and detailed designs
  • Foster and maintain high collaboration with team members, other technical colleagues, and business partners from across the organization
  • Active involvement and engineering leadership in multiple complex projects
  • Provide engineering leadership and mentorship to all level of engineering staff
  • Review code for complex maintainability, coding standards, and security issues
  • Conceptualize, plan, design, and build software to solve complex problems
  • Effectively collaborate with Architects to develop and review intended solutions
  • Demonstrate expert-level knowledge of coding standards and apply them
  • Engages in driving organization technical strategy and innovation efforts
  • Demonstrates subject matter expertise in their domain and takes on higher-level responsibilities
  • Ensure compliance with established SDLC frameworks
  • Ensure compliance with all the audit and security requirements of the company
  • Lead a team with meeting project commitments
  • Ability to travel as needed to perform position responsibilities
  • Availability to be on-call as needed
  • Perform other duties as assigned

Requirements:

  • Bachelor's degree in Computer Science, Management Information Systems, related technology field, or equivalent combination of education and experience
  • Ten years professional work experience in data engineering required
  • Three years of experience performing as a subject matter expert
  • Prior experience with coding Python and PySpark in a Databricks platform
  • Experience with big data technologies like Snowflake and comfortable working in scalable environments
  • Years of experience may be offset by having proficiency in one or more highly specialized technologies or skills
  • Expert-level proficiency of computer engineering fundamentals in object-oriented design, data structures, and algorithms
  • Ability to modify existing code and write highly advanced scripts according to standards and best practices
  • Experience with Azure cloud environments and concepts
  • Advanced understanding of data engineering concepts and highly proficient in SQL
  • Expert technical skills and knowledge in: data warehousing, databases, ETL/ELT, business intelligence, and data governance
  • Demonstrate excellent analytical and quantitative skills.

Benefits:

  • Competitive wages
  • Medical with telemedicine
  • Dental and Vision
  • Basic and Optional Life Insurance
  • Paid Time Off (PTO)
  • Maternity, Parental, Family Care
  • Community Volunteer Time Off
  • 12 Paid Holidays
  • Company Paid Disability Insurance
  • 401k (with employer match)
  • Health Savings Accounts (HSA) with company provided contributions
  • Flexible Spending Accounts (FSA)
  • Supplemental Insurance
  • Mental Health and Well-being: Employee Assistance Program (EAP)
  • Tuition Reimbursement
  • Wellness program
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