Remote Data Engineer: Salesforce Data 360 & AI Foundations

aspenviewtech

United States

Remote

USD 140,000 - 180,000

Full time

14 days+

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Job summary

AspenView Tech is seeking a data engineer to build the data foundation powering Salesforce Data 360 and the Agentforce AI layer. The role is remote, nearshore, contractor, based in LATAM, embedded in a client squad and challenging assumptions.

You'll ingest from CRM/ERP, map to canonical models, design identity resolution, and develop SQL and Python pipelines with tests and lineage while monitoring costs and data quality.

Qualifications

  • Bachelor's degree in CS, Data Engineering, Information Systems or equivalent practical experience.
  • At least 5 years of data engineering experience with production pipeline ownership in Agile.
  • Hands-on with Salesforce Data 360: data streams, identity resolution, calculated insights, segmentation, activation.
  • Strong SQL proficiency with window functions and query tuning.
  • Python for transformation and orchestration.
  • Experience with Snowflake, BigQuery, Redshift, or Databricks.
  • Knowledge of data quality, lineage, and observability tooling.
  • Advanced or fluent English for daily collaboration.

Responsibilities

  • Ingest and harmonize data from CRM, external APIs, object storage, and warehouse platforms, using zero-copy patterns where available.
  • Map source data into the platform's canonical model and maintain the underlying data streams.
  • Design and tune identity resolution rulesets, measuring actual match rates rather than assuming them.
  • Build calculated insights, segments, and activation targets that marketing and service teams consume.
  • Model data so AI agents can be grounded on it, including retrieval-ready unstructured content.
  • Implement consent, retention, and residency handling as part of the data model, not as an afterthought.
  • Build and orchestrate transformation pipelines in SQL and Python, with tests and lineage.
  • Monitor freshness, volume, schema drift, and cost, and alert on anomalies.
  • Tune for consumption-based platform cost and report what each pipeline actually spends.

Skills

SQL
Python
Salesforce Data 360
Identity resolution
Data modeling
ETL pipelines
English (Advanced)

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems
Equivalent practical experience

Tools

Snowflake
BigQuery
Redshift
Databricks
Salesforce Data 360 tooling
APIs
Object storage

Job description

AspenView Tech is seeking a data engineer to build the data foundation powering Salesforce Data 360 and the Agentforce AI layer. The role is remote, nearshore, contractor, based in LATAM, embedded in a client squad and challenging assumptions.

You'll ingest from CRM/ERP, map to canonical models, design identity resolution, and develop SQL and Python pipelines with tests and lineage while monitoring costs and data quality.

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