Jr. Data Architect/Engineer

Payrate: $10,400/m DOE Work Location: Plano, TX Contract Period: 1 year   We are seeking a mid-level Data Platform Engineer to build a new greenfield data platform integrating internal systems (GSCM, SEASI, SMART, and BOSS) using a Medallion Architecture. This role owns the end-to-end data pipeline—from ingestion through Bronze/Silver/Gold transformation—while migrating existing Alteryx workflows to code-based dbt and Python implementations. The engineer will also develop an MCP server enabling AI agents to query business-specific data marts, directly supporting the organization's AI-driven analytics initiatives. Success in this role will deliver a scalable, governed data foundation that accelerates business insights and AI adoption. - Ingest data from sources such as Microsoft SQL Server (BOSS) and Oracle into the Bronze layer, implementing CDC-based incremental ingestion - Develop dbt models for the Silver layer including cleansing, standardization, deduplication, and data quality testing - Develop Gold layer business-specific data marts and migrate existing Alteryx transformation logic - Configure Apache Iceberg tables and a REST Catalog, including schema evolution and time travel support - Develop and operate Apache Airflow DAGs, managing dependencies, scheduling, and failure notifications - Develop an MCP server enabling AI agents to query Gold-layer data marts, including catalog/metadata access, ontology integration, and query execution - Manage metadata and data lineage using OpenMetadata - Automate Excel reporting using Python and openpyxl - 3+ years of hands-on data engineering experience in production environments - Advanced SQL skills, including window functions, CTEs, and query tuning - Hands-on dbt experience, including model design, incremental strategies, macros, and tests - Python proficiency for data processing and automation, including libraries such as pandas - Experience developing Apache Airflow DAGs - Experience with at least one analytical engine: Trino/Presto, Apache Spark, or DuckDB - Experience with at least one lakehouse table format: Apache Iceberg, Delta Lake, or Apache Hudi - Experience with Medallion Architecture and star schema/dimensional modeling - Experience integrating relational database sources, such as Microsoft SQL Server and Oracle, using CDC or batch processing   Required Technical Skills - SQL - dbt - Python - pandas - Apache Airflow - Trino/Presto or Apache Spark or DuckDB - Apache Iceberg or Delta Lake or Apache Hudi - Microsoft SQL Server - Oracle - Kubernetes - MinIO (S3-compatible storage)   Preferred Qualifications - Experience with EL tools such as Airbyte or Fivetran, and Iceberg REST Catalog implementations such as Apache Polaris - Experience with governance tools such as OpenMetadata or DataHub, and semantic layers such as Cube.dev - Ability to interpret Alteryx workflows (.yxmd) and migrate their logic to SQL/dbt - Experience developing MCP servers or building LLM, RAG, or AI agent pipelines - Experience developing applications, APIs, or backend services using Java and/or Python - Experience building Generative AI (GenAI) applications, including LLM integration, retrieval-augmented generation (RAG), and AI agent workflows - Hands-on experience with LangChain and/or LangGraph for developing tool-enabled AI agents and orchestrating multi-step workflows - Understanding of retail and home appliance business domains, including PSI (Production, Sales, and Inventory) and sales analytics - Understanding of retail and home appliance business domains, including PSI (Production, Sales, and Inventory) and sales analytics   Preferred Technical Skills - Java or Python - Generative AI (GenAI) and LLM integration - LangChain - LangGraph - RAG and AI agent pipelines - MCP server development - Airbyte - Fivetran - Apache Polaris - OpenMetadata - DataHub - Cube.dev - Alteryx - openpyxl All your information will be kept confidential according to EEO guidelines.