Data Engineer

Sunrise Banks•St Paul, MN

53d•Hybrid

About The Position

At Sunrise Banks we are committed to a culture of trust and transparency that welcomes all. POSITION SUMMARY In coordination with IT Management, the Data Engineer will create and support new ETL, database processes, and data storage architectures in service of Sunrise Bank’s Fintech business and core banking processes. You will: Be part of a high-functioning Agile team using JIRA Work on the integration and maintenance of applications and their databases Apply a thorough understanding of application and data technology, tools and existing designs Assure quality, security and compliance requirements are met This position will also include data work in the creation, maintenance, and troubleshooting of a variety of data sources. Using SQL skills, you will work with the data sources of a variety of applications at all levels from simple queries to creation and design of complex data workflows. LOCAL CANDIDATES ONLY. HYBRID ONSITE REQ'D. NO SPONSORSHIPS

Requirements

2 Year college degree/certificate or business-related field preferred
5+ years SQL Server experience including DDL and DML required
3-5 years creating and maintaining complex SSIS packages required
2-3 years Azure SQL experience required
Excellent troubleshooting/problem solving skills required
High competency in Microsoft Office applications required
A comprehensive skill set in SQL server development methodologies and relational database concepts is required
Alignment w/Sunrise Core Values
Adaptability
Communication
Compliance
Dependability & Flexibility
Initiative
Integrity
Judgement
Organizational Skills
Productivity
Professionalism
Quality Service
Teamwork
Technical /PC Skills
Work Quality

Nice To Haves

1-2 years Azure Data Factory experience preferred
1-2 years NoSQL/Data Lake experience preferred
1-2 years Snowflake, Databricks and/or Python experience preferred
Experience in the financial industry preferred

Responsibilities

Build out pipelines to support the Bank’s RDBMS/NoSQL structures
Participate in and contribute to Sunrise’s data analytics and cloud-based strategy
Bridge the gap between traditional data architecture and emerging cloud architecture, assisting in the evaluation and deployment of toolsets and solutions
Automate file ingestion, validation, and delivery workflows across internal and external systems, reducing manual intervention and operational risk
Develop event-driven and schedule-based jobs to orchestrate end-to-end data flows across databases, file systems, APIs, and third-party platforms
Demonstrate excellent documentation skills by clearly recording incidents, resolutions, and permanent fixes to support auditability, knowledge transfer, and continuous improvement
Perform root-cause analysis on data discrepancies, missing records, and processing errors across upstream and downstream systems
Validate data integrity and reconciliation results between source systems and downstream reporting or risk platforms
Implement preventative fixes, including enhanced logging, error handling, and alerting to reduce repeat incidents
Support production on-call rotations, responding to alerts, coordinating incident resolution, and communicating status to stakeholders
Demonstrate excellent communication skills, particularly in the ability to interpret business requirements and interface with business lines for greater clarity
Work well in a team atmosphere where one is comfortable assisting other team members and being assisted by them