Remote Delivery Engineer II - Data and AI Onboarding

United States Digital Space LLC; United States; Remote; USD 109,000 - 147,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

Dental Insurance

Mental Wellness Benefit

Vacation Policy

Parental Leave

Volunteer Time Off

Job summary

United States Digital Space LLC is seeking a Delivery Engineer II to lead onboarding and data health for strategic customers, helping embed our analytics platform into their data stacks and deliver value through AI integrations.

As the technical sponsor for client initiatives, you will collaborate with GTM teams, own project delivery, and guide data architecture, governance, and adoption across engineering, product, and marketing teams.

Qualifications

• Experience querying, modeling, and transforming data using SQL/dbt/Python.
• Familiar with cloud data warehouses and analytics tools.
• Experience in customer-facing roles and delivering technical projects.

Responsibilities

• Own onboarding and data health for strategic clients and enhance data quality.
• Align with pre-sales to define goals and metrics for data architecture.
• Engage with engineering, product, and marketing to optimize deployments.
• Deliver data architecture consultations, adoption, and change management.
• Create scalable data governance and data trust initiatives.
• Manage timelines, scope, and issues while delivering value.
• Collaborate with partners on data optimization and onboarding.
• Be a technical sponsor for internal product and engineering priorities.
• Build AI automations to manage data at scale.
• Consult on integrating agentic workflows.

Skills

SQL

dbt

Python

BI tools

Product Analytics

Tools

Google Cloud

Amazon Redshift

Microsoft Azure

Job description

United States Digital Space LLC is seeking a Delivery Engineer II to lead onboarding and data health for strategic customers, helping embed our analytics platform into their data stacks and deliver value through AI integrations.

As the technical sponsor for client initiatives, you will collaborate with GTM teams, own project delivery, and guide data architecture, governance, and adoption across engineering, product, and marketing teams.