Analytics Engineer (Salesforce)
Analytics Engineer Extensive hands-on Salesforce experience is required. Candidates should have a strong understanding of Salesforce data structures, relationships, and integrations, along with experience building data pipelines around Salesforce and other enterprise/marketing platforms. We are seeking an Analytics Engineer to design and maintain scalable data pipelines and data models that transform complex enterprise and marketing data into reliable datasets for analytics, reporting, and AI use cases. This role will work across APIs, cloud data platforms, Salesforce, and other business systems.
Responsibilities
Design, build, and maintain scalable data pipelines integrating Salesforce , marketing platforms, APIs, and enterprise data sources Develop data transformations and models for analytics, reporting, dashboards, and advanced modeling Build API integrations and Python-based solutions for automated data ingestion Ensure data quality, reliability, testing, monitoring, and pipeline performance Maintain data documentation, metadata, definitions, and lineage Prepare well-structured, AI-ready datasets and leverage modern AI tools throughout development and troubleshooting Qualifications 5+ years of experience in analytics engineering or a similar data engineering role Extensive hands-on Salesforce experience , including knowledge of Salesforce data structures and relationships Strong SQL and Python skills Experience with modern cloud data platforms such as Snowflake, Databricks, or BigQuery Experience building REST API integrations, including authentication, pagination, error handling, and schema changes Experience working with marketing technology and customer/marketing data Strong understanding of data modeling, warehousing, data quality, and governance Experience supporting production data pipelines and downstream analytics Preferred Experience with Rivery and/or Boomi Experience with Power BI, Tableau, or Looker Experience preparing data for AI/LLM, RAG, or agent-based applications Experience with customer identity resolution, marketing attribution, or campaign measurement Experience with data privacy, consent management, and marketing data governance