Technology Architect | Big Data - Data Processing | Spark

Expedite Talent Solutions; Redmond (WA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Expedite Talent Solutions is seeking an Azure Data Engineer to support end-to-end ML lifecycle in production. The role focuses on deploying ML models, versioning, monitoring, and building automated pipelines in Azure Databricks and Azure ML.

You will work in a hybrid setup, engaging with stakeholders, leading a team, and handling production support tasks. Requires >10 years of relevant experience and strong Azure/Databricks skills.

Qualifications

• 10+ years of experience in data engineering or similar roles.
• Strong experience with ML lifecycle, deployment, monitoring and CI/CD.
• Experience in Azure ML and Databricks environments.

Responsibilities

• Client interfacing to gather requirements and provide updates.
• Team leading and coordination across data engineering tasks.
• Handle support tasks and production runbooks.

Skills

Spark

AI MLOps

ADF

ADB

Tools

Azure Databricks

Job description

Description: Job Title: Azure Data Engineer

Work Location: RedmondWA98052

Vendor Rate: ***

Contract duration: 6

Target Start Date: 01 Aug 2026

Does this position require Visa independent candidates only? YES

hybrid work set-up

Job Details:

Must Have Skills

Spark, AI MLOps, ADF,ADB

Detailed Job Description

Need to support the end-to-end operationalization of machine learning solutions, including model deployment, versioning, monitoring, and lifecycle management in production environments. Building and maintaining automated ML pipelines, CI/CD workflows, and cloud-based infrastructure using Azure ML, Databricks.

Minimum Years Of Experience

>10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute

• Client Interfacing
• Team leading
• Support tasks

Interview Process (Is face to face required?)

No

Any additional information you would like to share about the project specs/ nature of work