Data Engineer

Experis; Seattle (WA); On-site; USD 110,000 - 160,000; Full time

Job summary

Experis in Seattle seeks a Data Engineer to ingest and process data from Salesforce, D365, and other sources, building pipelines in Databricks, DBT, and Snowflake for AI/ML readiness.

You will design simple data models and implement data quality tests, ensuring governance, performance, and cost efficiency while collaborating with the AI/Data Science team to deliver feature-ready datasets.

Qualifications

• Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
• Strong background in ETL/ELT pipeline development.
• Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
• Solid SQL and Python skills; knowledge of data quality frameworks.

Responsibilities

• Ingest and process data from Salesforce, D365, Coupa, Workday, Concur, and external data sources.
• Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.
• Design simple, reusable data models to support training and inference.
• Implement data quality tests, documentation, and lineage in DBT.
• Ensure performance, cost efficiency, and governance compliance.
• Collaborate with Knowledge Management/AI Data Science teams to provide feature-ready datasets.

Tools

Databricks

DBT

Snowflake

SQL

Python

ETL/ELT pipelines

Job description

Experis

Seattle, WA 98101

Title: Data Engineer
Location: 500 5th Ave N, Seattle WA 98109
Duration: 06+ Months

Responsibilities

• Ingest and process data from Salesforce (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).
• Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.
• Design simple, reusable data models to support training and inference.
• Implement data quality tests, documentation, and lineage in DBT
• Ensure performance optimization, cost efficiency, and compliance with governance standards.
• Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets.

Requirements

• Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
• Strong background in ETL/ELT pipeline development.
• Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
• Solid SQL and Python skills; knowledge of data quality frameworks.

About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions

Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought‑after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.