Under the general leadership of the AVP Development and Data Solutions the Senior Data Engineer will be responsible for designing, developing, and maintaining robust data infrastructure, ensuring the seamless
flow of data across our organization. The Senior Data Engineer will collaborate with cross-functional teams to understand data requirements, implement scalable solutions, and contribute to the overall data strategy

Responsibilities:

• Data Architecture and Modeling:
  - Design and implement scalable, efficient, and secure data
  architectures.
  - Develop and maintain data models, schemas, and structures to
  support business requirements.
  - Design, build and maintain scalable data pipelines to provide
  accurate, timely and governed data for AI and machine learning
  solutions
• Data Integration:
  - Integrate diverse data sources, ensuring the reliability and
  accuracy of the data pipeline.
  - Implement ETL (Extract, Transform, Load) processes to facilitate
  data movement and transformation.
  - Building API solutions like middleware or endpoint automation.
• Data Visualization:
  - Develop and maintain data visualization solutions to facilitate
  the understanding and interpretation of data trends.
  - Utilize tools like Tableau, Power BI, or other to create
  interactive and insightful dashboards for various stakeholders
• . Big Data Technologies:
  - Work with big data technologies, such as Snowflake, Hadoop,
  or others to process large datasets
• Performance Optimization:
  - Monitor and optimize data processing and query performance
  within all data systems
• Performance Optimization:
  - Monitor and optimize data processing and query performance
  within all data system
• Responsible for resolving data related service requests.
• Represents the Credit Union in a positive and professional manner.
• Maintains member and other sensitive information with
  confidentiality
• Treats all team members and members with respect.
• Supports and participates in continuous improvement activities
• Other related duties as required

Minimum Qualifications:

• 8+ years of experience as Data Engineer or similar position, with a focus on designing and implementing data solutions
• 5+ years of experience in data modeling, database design, and SQL
• 8+ years of experience with ETL processes, data integration, and data warehousing
• 5+ years of experience with data visualization tools (Tableau, Power BI, etc.)

Preferred Qualifications:

• Experience working with Fiserv DNA database
• Understanding of financial services industry
• Understanding of cloud data platforms and data requirements for AI solution

Education:

• Bachelor’s Degree in Computer Science, Information Technology, Analytics or Business

Website: nuvisionfederal.com/careers

Pay scale by applicable geographic work location:

• Alaksa: Min- $119, 959.84 Mid- $149, 949.80 Max- $179, 939.76

The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

Benefits:

• • Medical
  • Dental
  • Vision
  • Life Insurance
  • Flexible Spending Account
  • 401(k) Matching
  • Paid Time Off
  • Training Provided
  • Tuition Reimbursement