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Senior Data Engineer, Data Analytics
Job in
Brooklyn Park, Hennepin County, Minnesota, USA
Listed on 2026-09-15
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-15
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Warehousing
Job Description & How to Apply Below
- Design, develop, test, deploy, operate, and maintain scalable data analytics, business intelligence, and reporting solutions
- Own end-to-end delivery, including requirements clarification, data analysis, solution design, coding, testing, implementation, user support, issue resolution, and production stability
- Build and optimize SQL Server databases, stored procedures, views, queries, data models, and reporting structures
- Develop and maintain Power BI semantic models, dashboards, reports, measures, and datasets
- Design and support OLAP, dimensional, and semantic models for trend analysis, historical reporting, self-service analytics, KPI tracking, and executive reporting
- Translate business requirements into technical solutions with product owners, analysts, engineers, architects, scrum masters, and business partners
- Apply data engineering and reporting best practices, including data quality validation, reconciliation, lineage awareness, metadata documentation, performance tuning, and controlled releases
- Contribute to Azure-based analytics solutions, including Azure SQL, Azure Data Factory, Azure Analysis Services, Microsoft Fabric, Synapse, and Data Lake
- Use AI-enabled development and analytics tools for requirements analysis, data profiling, code generation, test creation, documentation, anomaly detection, and continuous improvement
- Follow Agile practices, including backlog refinement, sprint planning, estimation, incremental delivery, demos, retrospectives, and risk communication
- Conduct peer reviews of SQL, data models, reports, dashboards, and technical designs
- Troubleshoot data, reporting, performance, and production issues; perform root cause analysis and coordinate fixes
- Balance project delivery with run-the-business support, including incidents, defects, reconciliation issues, access concerns, refresh failures, and reporting discrepancies
- Contribute to innovation, accountability, collaboration, automation, continuous learning, and responsible adoption of AI and advanced analytics
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent work experience
- Five to six years of relevant experience in software development, data analytics, business intelligence, data engineering, database reporting, or related technology roles
- Hands-on experience with SQL Server, T-SQL, relational database design, query optimization, and production reporting or analytics solutions
- Experience developing business intelligence reports, dashboards, data models, or analytics products using Power BI or comparable enterprise reporting tools
- Working knowledge of Agile delivery practices and modern software development lifecycle principles
- Demonstrated ability to work effectively in a small-team environment across business analysis, technical design, coding, testing, deployment, troubleshooting, and production support
- Advanced proficiency with Power BI, including data modeling, DAX, Power Query, report optimization, workspace practices, refresh strategies, and role-based security concepts
- Strong experience with SQL Server reporting, analytics, and data integration patterns, including dimensional modeling, star schemas, stored procedures, indexing, query tuning, SSIS, ETL/ELT workflows, and SSRS or comparable frameworks
- Experience designing, developing, maintaining, troubleshooting, and modernizing SSIS packages
- Experience designing OLAP, semantic, or analytical models
- Familiarity with Azure data and analytics services, including Azure SQL Database, Azure Data Factory, Azure Analysis Services, Synapse Analytics, Microsoft Fabric, Data Lake, and Logic Apps
- Ability to apply AI-centric practices and tools with responsible governance and human review
- Understanding of data governance, data quality, lineage, metadata, privacy, risk, security, and compliance in enterprise financial services
- Strong analytical and problem-solving skills
- Ability to translate business needs into scalable technical designs and communicate technical concepts clearly
- Experience working in Agile teams with product owners, scrum masters, architects, developers, analysts, testers, and operations partners
- Demonstrated ownership mindset, task prioritization, estimation, blocker communication, mentoring, and continuous improvement
- Solid understanding of Dev Ops, CI/CD, version control, automated testing, release management, monitoring, and production support
- Financial services, banking, risk, compliance, payments, operations, or…
Position Requirements
10+ Years
work experience
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