Data Engineer

Build the Future with AspenView Technology Partners

At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.

As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.

Why Join AspenView?

At AspenView, we’re more than a nearshore IT partner, we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients, and meaningful career paths for our people.

**About the Role
**We are seeking a Data Engineer to build the data foundation that Salesforce Data 360 (formerly Data Cloud) and Agentforce depend on. You will ingest and harmonize data from CRM, ERP, warehouse, and event sources into Data 360, resolve identity across them, and make the result trustworthy enough to activate against. Most AI work on Salesforce fails on data, not on models, which makes this role a critical enabler of the program rather than a support function.
This is a full-time, contractor agreement, remote nearshore position delivered from AspenView’s Latin American delivery centers, working the client’s core business hours with substantial time-zone overlap. You will be part of the client’s squad under AspenView Delivery Leadership, which holds the employment relationship and delivery accountability. This is a contributor role, not a task-execution role, the team needs someone who questions whether the right thing is being built, and says so.

What You Will Do

Ingestion & Harmonization

• Source Ingestion: Build ingestion from Salesforce CRM, external APIs, object storage, and warehouse sources—including Snowflake, BigQuery, or Databricks via zero-copy where available.
• Canonical Mapping: Map source data to the Data 360 canonical model and maintain the data streams behind it.
• Identity Resolution: Design and tune identity resolution rulesets, measuring the match rate rather than assuming it.

Modeling & Activatio

• Insights & Segments: Build calculated insights, segments, and activation targets that marketing and service teams can use.
• Agentforce Grounding: Model data for grounding Agentforce agents, including retrieval-ready unstructured content.
• Privacy by Design: Implement consent, data-retention, and residency handling as part of the model, not after it.