Salary: $130,000 – 145,000/year This position is remote / work from home, but candidates must be local to come to Annapolis, MD, 2 times per month. We are looking for a talented Data Engineer with expertise in Power BI dashboard development and analytics, coupled with experience in setting up cloud environments on Azure or AWS. The ideal candidate will have a strong background in data engineering, data visualization, and cloud infrastructure, enabling our organization to leverage data-driven insights effectively. Responsibilities Data Engineering: Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse. Collaborate with data architects and analysts to ensure data quality, integrity, and consistency across datasets. Optimize data structures and storage for efficient data retrieval and analytics performance. Implement data governance, security, and compliance measures to protect sensitive information. Power BI Dashboard Development: Create visually compelling and interactive Power BI dashboards and reports to visualize key performance indicators (KPIs), trends, and insights. Customize and configure Power BI visuals, filters, and parameters to meet business requirements and user needs. Integrate data from multiple sources into Power BI for comprehensive analytics and reporting capabilities. Train and support users in leveraging Power BI for self-service analytics and data exploration. Cloud Infrastructure Setup: Configure and deploy cloud environments on Azure or AWS, including data storage, compute resources, and services. Optimize cloud infrastructure for scalability, reliability, and cost-effectiveness, leveraging best practices and automation tools. Monitor cloud performance, security, and resource utilization, implementing continuous improvements and optimizations. Collaborate with IT and DevOps teams to integrate data engineering workflows with cloud platforms and services. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s degree preferred). 5+ years of experience in data engineering, data modeling, and ETL development. Proficiency in Power BI, including dashboard design, DAX expressions, and data modeling techniques. Experience with cloud platforms such as Azure (Azure Data Factory, Azure SQL Database) or AWS (AWS Glue, Amazon Redshift). Strong SQL skills and knowledge of database systems (SQL Server, MySQL, PostgreSQL, etc.). Familiarity with big data technologies (Hadoop, Spark) and machine learning concepts is a plus. Excellent problem-solving skills, analytical thinking, and attention to detail. Effective communication skills and ability to work collaboratively in a team environment. $130,000 – $145,000 a year #J-18808-Ljbffr
Key Performance Indicators (KPIs) Azure SQL Database data-structures data-retrieval Analytical skills Amazon Web Services (AWS) Apache Spark data-security Data Engineering Data Storage Azure Communication data-modeling cloud-computing data governance data-pipelines Machine Learning aws-glue Hadoop Database engines Power BI Azure Data Factory data-warehouse Problem-solving Amazon Redshift data-visualization Big data SQL DAX ETL