Principal Data Engineer

Summary

Join Pathward, a hybrid, remote-office financial empowerment company, as a Principal Software Engineer. You will lead a Data Engineering team, developing and implementing modern data platforms. This role requires extensive experience in data engineering, leadership, and cloud technologies. You will solve complex problems, mentor staff, and contribute to a data-driven organization. Pathward offers a competitive salary, comprehensive benefits, and a commitment to diversity and inclusion. Apply even if you don't meet every requirement; we encourage diverse candidates.

Requirements

• Bachelor’s degree or equivalent experience
• 10+ years delivering scalable, secure, and highly available technical data solutions
• 5+ years of experience designing and building Data Engineering pipelines with industry leading technologies such as Talend, Informatica, etc
• Extensive SQL experience
• Experience with ELT processes for transformation push down and data replication using tools such as Matillion
• Experience with Data Visualization tools such as PowerBI, ThoughtSpot, or others
• Experience with Python
• 3+ years of complex enterprise experience leading distributed Data Engineering teams
• 3+ years of experience in cloud data environments leveraging technologies such as Snowflake and AWS
• 3+ years of banking or financial services and products domain experience
• Multiple successes driving Data Engineering in an agile environment (preferably with Kanban)
• Prior experience designing and/or optimizing processes to ensure operational excellence
• Ability to communicate effectively with all levels in the company; this includes written and verbal communications as well as visualizations
• Ability to collaborate in a team setting and work towards a common goal
• Ability to influence stakeholders to consider alternate viewpoints
• Ability to mentor and coach technical resources on Data Engineering guidelines and principles
• Strong data architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous, and evolving requirements
• Ability to navigate and work effectively across the organization to influence, inspire, and lead others around decisions that propel the organization towards set vision and goals

Responsibilities

• Lead a Data Engineering team with responsibility for planning, prioritization, architectural & business alignment, quality, and value delivery
• Develop flexible, maintainable, and reusable Data Engineering solutions using standards, best practices, and frameworks with a focus on efficiency and innovation
• Solve complex development problems leveraging good design and practical experience
• Continually look at ways to improve existing systems, processes, and performance
• Lead and participate in planning and feature/user story analysis by providing feedback and demonstrating an understanding of business needs
• Solve business problems by implementing technical solutions based on solid design principles and best practices
• Identify and contribute to opportunities for departmental & team improvements
• Document software, best practices, standards, and frameworks
• Mentor staff by providing technical advice, helping with issue resolution, and providing feedback
• Contribute as a subject matter expert in technical areas
• Keep up to date with current and future changes in tools, technology, best practices, and industry standards through training and development opportunities
• Identify and lead learning and training opportunities for other team members and staff
• Perform other duties as assigned

Preferred Qualifications

• Experience with SQL Server, SSIS, and No-SQL DBs
• Experience with automated testing capabilities with Data Engineering

Benefits

• Health insurance
• 401(k) retirement benefits
• Life insurance
• Disability benefits
• Paid time off
• Annual performance-based incentive opportunity