Collaborate with technology and business stakeholders to determine data needs. Develop data solutions using various software development methodologies, including waterfall and agile. Write and understand complex SQL queries and define best practices. Develop and support ELT/ ETL solutions utilizing Python, Scala, or other object-oriented programming languages. Design, develop, and maintain data integrations between source and target systems. Understand and implement data security and data classifications. Innovate and leverage emerging technologies and participate in strategic planning. Set up monitoring and alerting for data solutions. Script, automate, configure, and monitor data processes. Troubleshoot database, data integration, or application issues related to data. Build and maintain modern cloud data platforms for reporting and analytics. Partner with business intelligence and analytics developers on metric development, reporting, and visualizations. Work with a variety of internal and external data sources, including APIs, Web Services, and integration platform-as-a-service. Work with data streaming and messaging services to move data between systems. Provide technical leadership on projects and initiatives. Mentor peers and partners across the organization What education and experience are required for this job (minimum qualifications) Any of the following combinations of education (in Computer Science/ Engineering, Information Technology, or related) and directly related experience:Master's degree and three (3) years of experience. Bachelor's degree and five (5) years of experience. Associate's degree and seven (7) years of experience. High school diploma/ GED and nine (9) years of experience. Knowledge, Skills, and Abilities Required:Experience developing data solutions for the cloud. Modern cloud data platform experience in tools such as Databricks, Snowflake, or an equivalent. Proficiency in Python, Scala, or other equivalent object-oriented programming languages. Gathering, understanding, and analyzing stakeholder requirements, needs, and objectives. Data development methodologies, best practices, standards, and procedures. Experience writing and tuning complex SQL queries and defining SQL best practices. Installation and configuration of database software and drivers on servers and clients. Data modeling, database normalization, and denormalization techniques. Designing, developing, and maintaining data solutions for operations, reporting, and analytics (databases, data platforms, data lakes, data warehouses, and data marts). Designing, developing, and maintaining data integrations (data pipelines/ ETL/ ELT – extracting, transforming, and loading data) using various types of data sources and targets. ITIL, Incident, Service, and Change Management, including SLAs and metrics. What additional skills and experience would be helpful in this job (desired qualifications):Experience with APIs, Web Services, and Integration Platform as a Service. Data streaming and messaging experience. Reporting and data visualization experience. Experience leading a technical team. Experience working and collaborating with individuals from diverse backgrounds. What you can expect from us:We offer the opportunity to make a difference and positively influence the Twin Cities metropolitan area. We encourage our employees to develop their skills through on-site training and tuition reimbursement. We provide a competitive salary, excellent benefits, and a good work/life balance.