Sr. Data Engineer – AI/ML

🚨 We’re Hiring: Sr. Data Engineer – AI/ML

📍 Location: Atlanta, GA / Frisco, TX

🏠 Local Candidates Only – No Relocation

💼 Employment: Contract

🎯 Experience: 10+ Years

🤝 Interview: In-Person Interview is Mandatory

 

⭐ FAANG or Product-Based Company Experience is Mandatory

Facebook (Meta), Amazon, Apple, Netflix, Google, Microsoft

 

🔥 Mandatory Skills

🔹 Python & SQL

🔹 AI/ML

🔹 Azure

🔹 Spark / PySpark

🔹 Databricks

🔹 dbt

🔹 Snowflake

🔹 Strong Enterprise Data Engineering Experience

 

📌 Key Responsibilities

Design and develop advanced data engineering solutions and scalable data pipelines.

Build and optimize batch, real-time, and near-real-time streaming pipelines.

Design low-latency, highly scalable APIs and fault-tolerant architectures.

Build high-throughput data pipelines supporting Agentic AI and multi-agent MCP orchestration.

Develop and maintain enterprise-scale Graph Databases and Knowledge Graphs.

Lead large-scale data processing using Databricks, Spark, PySpark, Spark SQL, and Scala.

Design and optimize Snowflake data warehouse solutions.

Perform data wrangling, exploration, and discovery across heterogeneous data sources.

Mentor engineers and contribute to enterprise data engineering standards and best practices.

 

🤖 AI / ML & Modern Data Engineering

Experience building AI-powered agents and agentic workflows.

Hands-on experience with NL-to-SQL using Databricks Genie and Snowflake Cortex.

Strong experience with Unity Catalog for governance, security, and data lineage.

Experience with AI-assisted dbt development, documentation, and testing.

Familiarity with AI-powered data quality, anomaly detection, and pipeline observability.

Experience with ML feature platforms and vector databases is a plus.

Exposure to MLOps, streaming AI pipelines, and real-time AI inference.

📩 Interested candidates: Please share your updated resume at rahul.singh@spiceorb.com