Principal Data Engineer

We are a hybrid, remote-office company dedicated to growing our talent anywhere!

We have onsite locations in: Sioux Falls, SD,  Scottsdale, AZ,  Troy, MI,  Franklin, TN,  Dallas, TX

At Pathward, we take tremendous pride in our purpose to create financial inclusion for all™. We are a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all.  We strive to remove barriers that traditional institutions put in the way of financial access, and promote economic mobility by providing responsible, secure, high quality financial products.

We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success.  We celebrate, and embrace, our team members through our *HUMBLE*HUNGRY*SMART approach, and we believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. 

About the Role:

We are looking for a Principal Software Engineer to be part of our Enterprise Information Management team to drive and enable our data capabilities in the transformation of our company into a data-driven organization and help lay the foundations of a robust data program.

This role will own the technical leadership and be part of a Data Engineering team with responsibilities in defining, planning, delivering, and supporting the implementation of our modern data platforms to drive business value and growth. The Principal Software Engineer will be required to perform all Data Engineering development duties including design, development, testing, and documentation with a heavy emphasis on design and architectural decisions.

What You Will Do:

• Leads a Data Engineering team with responsibility for planning, prioritization, architectural & business alignment, quality, and value delivery.
• Develops flexible, maintainable, and reusable Data Engineering solutions using standards, best practices, and frameworks with a focus on efficiency and innovation.
• Solves complex development problems leveraging good design and practical experience.
• Continually looks at ways to improve existing systems, processes, and performance.
• Leads and participates in planning and feature/user story analysis by providing feedback and demonstrating an understanding of business needs.
• Solves business problems by implementing technical solutions based on solid design principles and best practices.
• Identifies and contributes to opportunities for departmental & team improvements.
• Documents software, best practices, standards, and frameworks.
• Mentors staff by providing technical advice, helping with issue resolution, and providing feedback.
• Contributes as a subject matter expert in technical areas.
• Keeps up to date with current and future changes in tools, technology, best practices, and industry standards through training and development opportunities.
• Identifies and leads learning and training opportunities for other team members and staff.
• Perform other duties as assigned.

What You Will Need:

• 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
• Experience with SQL Server, SSIS, and No-SQL DBs preferred
• 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. We will consider experiences in similar or comparable domains as well.
• Multiple successes driving Data Engineering in an agile environment (preferably with Kanban)
• Prior experience designing and/or optimizing processes to ensure operational excellence
• Experience with automated testing capabilities with Data Engineering preferred
• 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