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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Power BI - **Company:** CareerCircle - **Location:** Saint Paul, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $145,600.0 - $166,400.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Engineering, Information Systems, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Visualization, Database Design, Decision Support Systems, R (Programming Language), Python (Programming Language), Machine Learning, SQL Azure, Power BI, Azure Data Lake, SQL Databases, SQL Server Integration Services, Data Streaming, Synapse Citrix, Data Processing, Cloud Platform System, Azure Data Factory, Sql Optimization, Data Lakes, Information Technology, Collibra, Data Analytics, Data Management, Machine Learning Operations, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** September 3, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/mn/saint-paul/8674ecf4-6057-4a77-8722-f9f079142010 ## About the Role 1. 5+ years in data engineering building and managing data pipelines to integrate, clean, and transform data across systems (ETL processes). 2. Strong knowledge of data modeling, database design, and ETL processes with advanced SQL skills and Python skills. 3. Must have experience with Azure Datalake using Synapse or Databricks or Fabric. 4. Must have Azure Data Factory experience., * Bachelor's degree in computer science, Data Science, Information Systems, or a related field (or equivalent experience). * 5+ years of experience in data engineering, or a similar role. * Strong knowledge of data modeling, database design, and ETL processes. * Advanced SQL skills for querying and data manipulation. * Proficiency in the Microsoft Azure ecosystem, including Azure Data Factory, Azure Synapse Analytics, Azure Purview, and Azure SQL Database. * Strong experience with Power BI for data visualization. * Experience with data integration tools (e.g., Azure Data Factory, SSIS, or similar). * Hands-on experience with business intelligence tools. * Strong problem-solving skills and ability to work on complex technical challenges. Preferred: * Familiarity with Databricks for data engineering and analytics. * Knowledge of data governance, privacy, and cataloging principles. * Familiarity with machine learning workflows and data preparation for predictive analytics. * Experience with Python or R for data analysis. * Knowledge of cloud architecture and modern data platforms. * Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders. * Experience in project management and cross-functional collaboration., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description Dashboard Operations Leadership Innovation Databricks Scalability Data Quality Data Science Communication Data Analysis Data Modeling Data Pipelines Synapse Citrix Microsoft Azure Problem Solving Azure Data Lake Data Governance Data Management Database Design Computer Science Data Integration Machine Learning Data Engineering Data Manipulation Data Architecture Project Management Value Propositions Advanced Analytics Business Valuation Azure Data Factory Data Visualization Data Preprocessing Workflow Management Information Systems Data Infrastructure Predictive Analytics International Finance Business Intelligence Full Stack Development Leadership Development Artificial Intelligence Business Transformation Azure Synapse Analytics R (Programming Language) SQL (Programming Language) Data-Driven Decision Making Business Intelligence Tools Extract Transform Load (ETL) Cloud Computing Architecture Python (Programming Language) Developing Training Materials Troubleshooting (Problem Solving) Frontline Decision-Making Autonomy Business Intelligence (BI) Solutions SQL Server Integration Services (SSIS), We are currently seeking a Data Engineer to join our team. This role will support our data-driven decision-making processes by analyzing and visualizing complex datasets, implementing modern data management tools, and collaborating with cross-functional teams to derive actionable insights. The individual will work closely with business teams to understand data needs, manage and improve data pipelines, and drive the transformation of our data infrastructure to a modern, scalable platform. Additionally, this role will support our broader efforts in implementing machine learning and advanced analytics capabilities to enhance business decision-making., To include, but not limited to the following: * Design, implement, and maintain data architecture to support business intelligence and reporting needs. * Build and manage data pipelines to integrate, clean, and transform data across systems (ETL processes). * Collaborate with business teams to understand data requirements and deliver scalable data solutions. * Monitor data quality and optimize data flows to ensure accuracy, integrity, consistency, and compliance with organizational standards. * Troubleshoot and resolve data-related issues promptly. * Assist in migrating existing data infrastructure to modern, cloud-based platforms, ensuring scalability and reliability. * Develop and implement business intelligence solutions, including reports, dashboards, and data visualizations. * Create and maintain data models and database designs that align with business needs. * Support machine learning initiatives by preparing data for analysis and modeling. * Provide actionable recommendations based on data analysis to support executive and operational decision-making. * Lead and participate in data governance and quality initiatives, adhering to best practices and standards. * Develop training materials and conduct sessions to ensure effective use of data tools across teams. * Stay abreast of emerging trends in data analytics and suggest ways to implement innovative solutions. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Hacking MSSQL on Cloud. 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