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