Data Engineer

This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making. 

1. Be the go-to-person for data pipelines to support operational implementation of Data Science and analytical models.
2. Engineer each solution with serverless technology when possible, with optimized performance.
3. Execute analytics solution engineering strategy, requirements, and adapt processes as needed.
4. Perform DevOps and orchestration around supporting data marts and analytical processes.
5. Monitor and secure usage of data while tracking analytic product performance.
6. Advise and collaborate in internal partnerships to deliver accurate, available, and accessible API services.
7. Ensure all security, documentation, governance, and compliance standards are met.
8. Manage small reporting layer on top of analytical models to ensure accountability and insight into models’ performance and impact.
9. Identifies potential concerns based on projections of current trends.

EDUCATION: 

• Master of Science in information technology, computer science, statistics, or related degree. Or, Bachelor of Science degree in information technology, computer science, statistics, or related business degree with equivalent experience of 3 years.    

EXPERIENCE: 

• 3+ years of experience in designing, developing and implementing Data Science solutions. 

• Experience developing business analytical solutions in large or midsize companies. 

• Must be able to manage multiple tasks simultaneously and react to problems quickly. 

• Contribute to Credit Union culture by keeping a positive attitude and growing relationships 

• Understanding of the financial services industry desired. 

• Experience with dashboard design and delivery desired 

• Must be able to translate concepts and directions into practical solutions. 

• Must have development experience with various data management technology; NoSQL; relational database; message broker; multi-dimensional database; and design architecture. 

• Understand data collection, streaming, preparation, analysis, visualization, modeling, algorithm integration, evaluation, optimization within an implementation context. 

• Must have advanced SQL abilities, experience with both Oracle and Microsoft desired. 

• Must have advanced programming experience with Python 

• Must have experience with Linux.  

• Experience with Anaconda; RabitMQ; Jupyter Notebook; Tableau desired