Mid-Level Data Engineer | Databricks, Snowflake, Azure || Onsite - Plano, TX, Alpharetta, GA, Middletown, NJ

🚨 **HIRING: Mid-Level Data Engineer | Databricks + Snowflake + Azure**

📍 **Locations:** Plano, TX | Alpharetta, GA | Middletown, NJ
🏢 **Work Model:** Onsite – 5 Days week 
🎯 **Experience:** 3+ Years

### 🔥 MUST-HAVE TECHNOLOGIES

**Databricks | Snowflake | Azure | Python | PySpark | SQL**

We are seeking a hands-on **Data Engineer** experienced in building, maintaining, troubleshooting, and optimizing modern cloud data pipelines.

### 💻 REQUIRED SKILLS

* 3+ years of hands-on Data Engineering experience
* Strong **Python, PySpark & SQL**
* Hands-on **Databricks & Snowflake**
* Strong Azure Data Services experience
* **Azure Data Factory (ADF), ADLS & Azure Synapse**
* ETL/ELT pipeline development
* Data Lake / Data Warehouse architecture
* Databricks Notebooks, Jobs & Delta Lake
* Data Modeling: Star Schema, Snowflake Schema & Dimensional Modeling
* Orchestration: **Airflow, dbt, Luigi or similar**
* Git & CI/CD
* Jenkins or similar CI/CD tools
* Data Quality, Governance, Security & Compliance

### ⭐ NICE TO HAVE

* Palantir Foundry
* Unity Catalog
* Spark Streaming / Real-Time Data Pipelines
* IBM watsonx.data or similar AI data platforms
* Apache Iceberg / Lakehouse technologies
* GenAI / RAG / LangChain
* MCP (Model Context Protocol)

### 📌 RESPONSIBILITIES

* Design and develop end-to-end data pipelines using **Databricks & Snowflake**
* Build scalable ETL/ELT workflows using **Python, PySpark & SQL**
* Develop Databricks notebooks, jobs, Delta Lake tables and workflows
* Build Azure data solutions using **ADF, ADLS & Synapse**
* Optimize Snowflake queries, clustering, storage, partitioning and materialized views
* Implement data quality and governance processes
* Develop streaming pipelines using Spark Streaming or similar technologies
* Build and maintain CI/CD pipelines for data workflows
* Troubleshoot production pipelines and resolve performance/data-quality issues
* Collaborate with Data Scientists, Analysts, Engineers and Business Stakeholders
* Support data migration initiatives in a fast-paced environment

### ⚠️ CLIENT SCREENING – PLEASE READ

This client is **extremely selective and closely reviews resumes**.

Candidates should have **genuine, hands-on experience** with the technologies listed on their resume and must be able to explain their projects and technical contributions in detail during the interview.

**DO NOT add or inflate technologies that the candidate cannot technically explain.**

Candidates must confidently demonstrate experience with:

✅ Databricks
✅ Snowflake
✅ Azure
✅ PySpark
✅ Python
✅ SQL
✅ ETL/ELT
✅ Data Pipelines

### 📩 SUBMISSION DETAILS

Please provide:

✅ Updated Resume
✅ LinkedIn Profile
✅ Current Location
✅ Visa Status
✅ Availability
✅ Confirmation of willingness to work **onsite 5 days/week**

🎯 **Long-term opportunity with renewable SOW anticipated through the end of 2027.**

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