Asks for

The ad says“5+ years in data engineering with production pipeline ownership in an Agile environment.”
The ad says“Cloud Data Warehouses: Snowflake, BigQuery, Redshift, or Databricks.”
The ad says“Data Modeling: Dimensional and canonical modeling: star schemas, slowly changing dimensions, and surrogate keys.”
The ad says“5+ years in data engineering with production pipeline ownership in an Agile environment.”
The ad says“Experience with data quality, lineage, and observability tooling”
The ad says“Cloud Data Warehouses: Snowflake, BigQuery, Redshift, or Databricks.”
The ad says“Data Modeling: Dimensional and canonical modeling: star schemas, slowly changing dimensions, and surrogate keys.”
The ad says“Experience with data quality, lineage, and observability tooling”
The ad says“Experience with data quality, lineage, and observability tooling”
The ad says“Python: Transformation, orchestration, and API integration.”
The ad says“Cloud Data Warehouses: Snowflake, BigQuery, Redshift, or Databricks.”
The ad says“Understanding of the Salesforce CRM data model and how it differs from a warehouse model.”
The ad says“Salesforce Data 360: Data streams, data model objects, identity resolution, calculated insights, segmentation, and activation.”
The ad says“Data Modeling: Dimensional and canonical modeling: star schemas, slowly changing dimensions, and surrogate keys.”
The ad says“Cloud Data Warehouses: Snowflake, BigQuery, Redshift, or Databricks.”
The ad says“SQL: Strong proficiency, including window functions and query tuning.”
The ad says“Data Modeling: Dimensional and canonical modeling: star schemas, slowly changing dimensions, and surrogate keys.”
The ad says“Data Modeling: Dimensional and canonical modeling: star schemas, slowly changing dimensions, and surrogate keys.”

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.

Pipeline Engineering

Transformation Pipelines: Build and orchestrate transformation pipelines in SQL and Python, with tests and lineage.
Observability: Monitor freshness, volume, schema drift, and cost, and alert on them.
Cost Optimization: Tune for Data 360 consumption-based cost and report what each pipeline actually costs.

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field—or equivalent experience.

What You Bring

Experience

5+ years in data engineering with production pipeline ownership in an Agile environment.
Understanding of the Salesforce CRM data model and how it differs from a warehouse model.
Experience with data quality, lineage, and observability tooling

Technical Expertise

Salesforce Data 360: Data streams, data model objects, identity resolution, calculated insights, segmentation, and activation.
SQL: Strong proficiency, including window functions and query tuning.
Python: Transformation, orchestration, and API integration.
Cloud Data Warehouses: Snowflake, BigQuery, Redshift, or Databricks.
Data Modeling: Dimensional and canonical modeling: star schemas, slowly changing dimensions, and surrogate keys.

Language Proficiency

Professional English, able to run requirement and design conversations directly with North American stakeholders.

Visa Sponsorship

AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future.

Equal Opportunity Employer

AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.