Junior Bi DeveloperImmediate need for a talented Junior BI Developer. This is a 12+months contract opportunity with long-term potential and is located in Alpharetta, GA (Onsite).Pay Range: $40/hr - $42/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Responsibilities:Data Warehouse Architecture & EngineeringDesign and maintain scalable data warehouse solutions (e.g., star/Client schemas, dimensional models) to support reporting, analytics, and AI workloads.Develop, optimize, and maintain complex SQL queries, stored procedures, and ETL/ELT pipelines.Implement data quality checks, validation rules, and performance tuning for large datasets.Collaborate with BI and analytics teams to ensure the warehouse meets reporting and SLA requirements.AI / Machine Learning EngineeringDesign, build, and deploy AI/ML models (e.g., classification, forecasting, NLP) using structured and semi-structured data from the warehouse.Partner with business stakeholders to translate requirements into AI use cases and measurable outcomes.Create reusable features, frameworks, and components that accelerate AI solution delivery.Collaboration & GovernanceWork closely with data engineers, data analysts, and business SMEs to understand data sources and business logic.Contribute to data architecture standards, documentation, and best practices across the organization.Support troubleshooting and root-cause analysis for data and model-related issues.Key Requirements and Technology Experience:Key Skills; Strong Power BI experienceStrong data warehousing experienceSQL/data analysis skillsThis is not an AI Engineering or Data Architecture role.AI experience is a plus but is not a core requirement.Bachelor's degree in computer science, Data Engineering, Information Systems, or related field (or equivalent experience).3–7+ years of experience in data engineering, data warehouse development, or related role.Strong expertise in SQL (query optimization, complex joins, window functions, stored procedures).Hands-on experience designing and implementing data warehouse architectures (e.g., Kimball, Inmon, modern cloud data warehouses).Experience with at least one major cloud platform (e.g., Azure, AWS, GCP) and its data warehousing tools (e.g., Client, Redshift, BigQuery, Azure Synapse).Solid experience with at least one programming language for AI/ML (e.g., Python, R), and common ML librariesProven ability to translate business problems into data and AI solutions.Experience with ETL/ELT tools (e.g., Data Factory, Informatica, dbt, SSIS).Familiarity with MLOps tools and concepts (e.g., MLflow, CI/CD pipelines for ML, model registries).Experience working with BI tools (e.g., Power BI, Tableau, Qlik) and supporting KPI dashboards.Knowledge of data governance, security, and compliance best practices.Strong communication skills and ability to work with both technical and non-technical stakeholders.Strong analytical and problem-solving skills.Ability to manage multiple projects and priorities in a fast-paced environment.Collaborative mindset and willingness to take ownership from concept to delivery.
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