Data Engineer Salesforce Data 360
A
AspenView Technology PartnersInformation Technology
Delivered from AspenView’s Latin American delivery centers, substantial time-zone overlap with Boston-based technology and research leadershipFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- Advanced/Fluent English (C1/C2)
- Experience
- 5+ years
- Required Skills
- PythonSQLSnowflakeData engineeringData modelingBigQueryDatabricks
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
- 5+ years in data engineering with production pipeline ownership in an Agile environment.
- Advanced/Fluent English (C1/C2) proficiency.
- Deep expertise in Salesforce Data 360 (data streams, identity resolution, activation).
- Strong proficiency in SQL, including window functions and query tuning.
- Experience with Python for transformation, orchestration, and API integration.
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks).
- Understanding of the Salesforce CRM data model versus warehouse models.
- Proficiency in dimensional modeling (star schemas, slowly changing dimensions, surrogate keys).
- Experience with data quality, lineage, and observability tooling.
Responsibilities
- Build ingestion pipelines from Salesforce CRM, external APIs, and object storage.
- Map source data to the Data 360 canonical model and maintain data streams.
- Design and tune identity resolution rulesets.
- Build calculated insights, segments, and activation targets.
- Model data for Agentforce grounding, including retrieval-ready unstructured content.
- Build and orchestrate transformation pipelines in SQL and Python with testing and lineage.
- Monitor pipeline health including freshness, volume, and schema drift.
- Tune for Data 360 consumption-based costs.
View Full Description & ApplyYou'll be redirected to the employer's site
