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Jr. Data Architect/Engineer

SBT Global, Inc.
Plano, USA
Full-time
Entry · 3+ years experience
Onsite
Discovered 3 days ago
airflowalteryxdbtdelta-lakeicebergjava

Full Job Posting

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
  • 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.
  • 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.

Qualifications

  • 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
  • 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)
  • 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
  • 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

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