Senior Data Engineer (Databricks | DBT | Snowflake) USC only

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

About the Role

We are looking for a skilled Data Engineer to join our team in Seattle. In this role, you will design, build, and optimize modern data pipelines that power analytics, AI, and machine learning initiatives across the organization. You'll work with enterprise business systems, cloud data platforms, and cross-functional teams to deliver trusted, high-quality datasets.

If you're passionate about building scalable data solutions using Databricks, DBT, and Snowflake, we'd love to hear from you.

Key Responsibilities

• Build, ingest, and process data from enterprise applications including:
• Microsoft Dynamics 365
• Workday (HR)
• Concur (Operations)
• External program and partner data sources (e.g., Health and Education)
• Develop and maintain scalable ETL/ELT pipelines using Databricks, DBT, and Snowflake.
• Design clean, reusable, and well-documented data models to support AI and machine learning training and inference.
• Implement data quality tests, documentation, and lineage using DBT.
• Optimize data pipelines for performance, scalability, and cost efficiency while ensuring compliance with governance standards.
• Partner with the Knowledge Management, AI, and Data Science teams to deliver feature-ready datasets for advanced analytics and AI initiatives.

Required Qualifications

• Hands-on experience with:
• Databricks (PySpark, SQL, Unity Catalog)
• Snowflake (SQL, query optimization, performance tuning)
• Strong experience designing and developing ETL/ELT pipelines.
• Experience integrating data from enterprise SaaS platforms such as Salesforce, Microsoft Dynamics 365, Coupa, Workday, and Concur.
• Strong SQL and Python programming skills.
• Experience implementing data quality frameworks and best practices.
• Excellent analytical, problem-solving, and collaboration skills.

Preferred Qualifications

• Experience supporting AI/ML data pipelines and feature engineering.
• Knowledge of data governance, metadata management, and data lineage.
• Experience working in a cloud-based modern data platform.

Why Join Us?

• Work on impactful AI and data engineering initiatives.
• Collaborate with experienced data science and engineering professionals.
• Build modern cloud-native data platforms using industry-leading technologies.
• Contribute to projects that drive business insights and innovation.

Location:

500 5th Ave N, Seattle, WA

Work Arrangement:

Preferred On-site

If you're excited about building reliable, scalable data platforms and enabling AI-driven solutions, we'd love to hear from you.