Senior Data Engineer: AI Pipelines (Databricks & Snowflake)

Sophus IT Solutions; Seattle (WA); On-site; USD 110,000 - 170,000; Full time

Job summary

Sophus IT Solutions in Seattle seeks a Data Engineer to design, build, and optimize data pipelines powering analytics, AI, and ML across the organization. You will work with cloud data platforms and enterprise systems to deliver trusted datasets.

You will leverage Databricks, DBT, and Snowflake to implement scalable ETL/ELT pipelines, data models, and quality controls, enabling reliable AI-driven insights. On-site role with collaboration across data teams.

Qualifications

• Hands-on experience building data pipelines across enterprise systems.
• Experience with Databricks, Snowflake, and DBT for data modeling and transformations.
• Strong SQL and Python programming skills.

Responsibilities

• Build, ingest, and process data from enterprise applications.
• Develop and maintain scalable ETL/ELT pipelines using Databricks, DBT, and Snowflake.
• Design clean, reusable data models to support AI/ML training and inference.
• Implement data quality tests, documentation, and lineage using DBT.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Partner with Knowledge Management, AI, and Data Science to deliver datasets for analytics.

Skills

Databricks

Snowflake

ETL/ELT pipelines

SQL

Python

Data quality

Collaboration

Tools

Databricks

DBT

Snowflake

Job description

Sophus IT Solutions in Seattle seeks a Data Engineer to design, build, and optimize data pipelines powering analytics, AI, and ML across the organization. You will work with cloud data platforms and enterprise systems to deliver trusted datasets.

You will leverage Databricks, DBT, and Snowflake to implement scalable ETL/ELT pipelines, data models, and quality controls, enabling reliable AI-driven insights. On-site role with collaboration across data teams.