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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