Jr. Data Architect/Engineer

What the role needs

• Roth Staffing is seeking Jr. Data Architect/Engineer contract opportunity with our client in Plano, TX.
• 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

From the employer

Roth Staffing is seeking Jr. Data Architect/Engineer contract opportunity with our client in Plano, TX. Position Summary: 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. Responsibilities: 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 Required 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 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 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 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 qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.