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.