Data Architect/Engineer
Company: Woongjin, Inc
Role summary
Data Architect/Engineer is a contract role at Woongjin, Inc in Plano, Texas, United States (on-site). Posted 2026-10-22. Salary: USD 110,000–120,000 per year. Experience level: 2-5.
- Job title
- Data Architect/Engineer
- Company
- Woongjin, Inc
- Location
- Plano, Texas, United States
- Work arrangement
- on-site
- Employment type
- contract
- Category
- Software Engineering
- Salary
- USD 110,000–120,000 per year
- Experience level
- 2-5
- Date posted
- 2026-10-22
Woongjin is looking for a data professional to join their expanding team on a contract basis with a solid salary range. It is a great opportunity to apply your technical expertise in a mission-driven environment that values community and long-term professional development.
Job description
Company Description
For More Open Positions Visit us at:
http://recruiting.woongjininc.com/
Our Mission
WOONGJIN INC. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.
Benefits
Medical Insurance
Vision Insurance
Dental Insurance
401(k)
Paid Sick hours
Job Description
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
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
Additional Information
All your information will be kept confidential according to EEO guidelines.
Compensation: USD 110000 - USD 120000 - yearly