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Job Description
First Dakota National Bank is hiring a Data Engineer to develop, operate, and continuously improve the enterprise data platform.
Responsibilities
- Design, develop, test, and maintain data pipelines that extract, transform, and load data into Microsoft Fabric
- Connect and integrate data from core banking systems, third-party applications, APIs, files, and cloud-based platforms
- Deliver batch and near real-time processing solutions using SQL, Python, Spark, and related technologies
- Create reusable ingestion, transformation, orchestration, and monitoring frameworks
- Transform and enrich data using business rules, auditing, validation, and data quality controls
- Build and maintain fact, dimension, and analytical models to support Power BI and enterprise reporting
- Implement monitoring, alerting, error handling, and operational documentation for data platform processes
- Support workflow automation and orchestration using Fabric, SharePoint, Power Apps, Power Automate, and related technologies as appropriate
- Collaborate with data analysts, business stakeholders, and technology teams to deliver reliable, scalable data products
- Participate in data governance, security, metadata management, and documentation efforts
- Troubleshoot production issues and optimize for performance, reliability, and maintainability
- Perform other duties as assigned
Requirements
- Bachelor’s degree in computer science, Information Systems, Data Engineering, or related field (or equivalent work experience)
- 3+ years of experience as a Data Engineer, ETL Developer, Data Warehouse Developer, or similar role
- Expert proficiency in SQL
- Expert proficiency in ETL/ELT processes
- Expert proficiency in data integration
- Expert proficiency in dimensional modeling (Kimball / Star Schema)
- Deep experience with one or more of: Microsoft Fabric, Databricks, Snowflake, Azure Data Services
- Professional experience in Python
- Professional experience with Spark or distributed data processing platforms
- Professional experience with Git and source control concepts
- Professional experience with CI/CD and DevOps practices
- Experience with one or more of: dbt, Azure Data Factory
- Experience with one or more of: Kafka or streaming technologies
- Experience with one or more of: REST APIs and application integrations
- Strong understanding of data quality and testing practices
- Strong understanding of enterprise data governance
- Strong understanding of security and access controls
- Strong understanding of data lineage and documentation
- Experience with financial institutions, banking systems, or Jack Henry platforms preferred
- Positive attitude and good work ethic
- Ability to process a variety of tasks accurately and efficiently
- Capability to maintain strict confidentiality
- Attention to detail and ability to comply with all Bank policies and procedures
- Communicate effectively with clientele, co-workers, and departments to resolve a range of needs
- Strong organizational skills and ability to work well in a team environment
- Punctuality is a must
Location & Work Environment
- Location: Sioux Falls, SD (onsite)
- Office setting: moderate noise; interacting with others in an office environment
Physical Demands
- Light: bending, sitting, and occasionally lifting up to 10 pounds with or without reasonable accommodation
Additional Requirements for All Employees
- Adaptability
- Attendance/Punctuality
- Career Apparel
- Customer Service
- Dependability
- Design (attention to detail)
- Initiative
- Innovation
- Interpersonal (maintains confidentiality; remains open to ideas; tries new things)
- Judgment
- Motivation
- Communication (listens, clarifies, responds well, writes clearly, reads and interprets information)
- Organizational Support (follows policies and procedures; completes administrative tasks)
- Planning/Organizing
- Problem Solving
- Professionalism
- Quality
- Safety/Security (observes procedures; reports unsafe conditions)
- Team Work (gives and welcomes feedback)
- Technical Skills (builds knowledge and skills; shares expertise)
Technologies
- Microsoft Fabric
- Python
- SQL
- Spark
- Power BI
- dbt
- Azure Data Services
- Azure Data Factory
- Databricks
- Snowflake
- SharePoint
- Power Apps
- Power Automate
- Git
- CI/CD
- DevOps
- Kafka
- REST APIs
- Jack Henry
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