{"id":3127792,"url":"https://alion.io/job/sbt-global-jr-data-architectengineer","title":"Jr. Data Architect/Engineer","company":{"id":4974,"name":"SBT Global","domain":"sbtglobal.com","url":"https://alion.io/company/sbtglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United 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using a Medallion Architecture.\nThis 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.\nThe 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.\nSuccess in this role will deliver a scalable, governed data foundation that accelerates business insights and AI adoption.\n Ingest data from sources such as Microsoft SQL Server (BOSS) and Oracle into the Bronze layer, implementing CDC-based incremental ingestion\n\nDevelop dbt models for the Silver layer including cleansing, standardization, deduplication, and data quality testing\n\nDevelop Gold layer business-specific data marts and migrate existing Alteryx transformation logic\n\nConfigure Apache Iceberg tables and a REST Catalog, including schema evolution and time travel support\n\nDevelop and operate Apache Airflow DAGs, managing dependencies, scheduling, and failure notifications\n\nDevelop an MCP server enabling AI agents to query Gold-layer data marts, including catalog/metadata access, ontology integration, and query execution\n\nManage metadata and data lineage using OpenMetadata\n\nAutomate Excel reporting using Python and openpyxl\n\n 3+ years of hands-on data engineering experience in production environments\n\nAdvanced SQL skills, including window functions, CTEs, and query tuning\n\nHands-on dbt experience, including model design, incremental strategies, macros, and tests\n\nPython proficiency for data processing and automation, including libraries such as pandas\n\nExperience developing Apache Airflow DAGs\n\nExperience with at least one analytical engine: Trino/Presto, Apache Spark, or DuckDB\n\nExperience with at least one lakehouse table format: Apache Iceberg, Delta Lake, or Apache Hudi\n\nExperience with Medallion Architecture and star schema/dimensional modeling\n\nExperience integrating relational database sources, such as Microsoft SQL Server and Oracle, using CDC or batch processing\n\nRequired Technical Skills\nSQL\n\ndbt\n\nPython\n\npandas\n\nApache Airflow\n\nTrino/Presto or Apache Spark or DuckDB\n\nApache Iceberg or Delta Lake or Apache Hudi\n\nMicrosoft SQL Server\n\nOracle\n\nKubernetes\n\nMinIO (S3-compatible storage)\n\nPreferred Qualifications\nExperience with EL tools such as Airbyte or Fivetran, and Iceberg REST Catalog implementations such as Apache Polaris\n\nExperience with governance tools such as OpenMetadata or DataHub, and semantic layers such as Cube.dev\n\nAbility to interpret Alteryx workflows (.yxmd) and migrate their logic to SQL/dbt\n\nExperience developing MCP servers or building LLM, RAG, or AI agent pipelines\n\nExperience developing applications, APIs, or backend services using Java and/or Python\n\nExperience building Generative AI (GenAI) applications, including LLM integration, retrieval-augmented generation (RAG), and AI agent workflows\n\nHands-on experience with LangChain and/or LangGraph for developing tool-enabled AI agents and orchestrating multi-step workflows\n\nUnderstanding of retail and home appliance business domains, including PSI (Production, Sales, and Inventory) and sales analytics\n\nUnderstanding of retail and home appliance business domains, including PSI (Production, Sales, and Inventory) and sales analytics\n\nPreferred Technical Skills\nJava or Python\n\nGenerative AI (GenAI) and LLM integration\n\nLangChain\n\nLangGraph\n\nRAG and AI agent pipelines\n\nMCP server development\n\nAirbyte\n\nFivetran\n\nApache Polaris\n\nOpenMetadata\n\nDataHub\n\nCube.dev\n\nAlteryx\n\nopenpyxl\n\n All your information will be kept confidential according to EEO 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