Analytics Engineer (Salesforce)

New York Technology Partners · New york, United States

Analytics Engineer (Salesforce)

We are seeking an Analytics Engineer to build and maintain scalable data pipelines that integrate Salesforce, marketing platforms, APIs, and enterprise data sources. This role will focus on data modeling, quality, and documentation to deliver trusted datasets for analytics, reporting, and AI-driven applications.

Responsibilities

• Develop and maintain data pipelines and integrations using Python, SQL, REST APIs, and cloud data platforms.
• Integrate and transform Salesforce and marketing technology data for downstream analytics, dashboards, and reporting.
• Ensure data quality, reliability, and performance through testing, monitoring, and troubleshooting.
• Maintain data models, documentation, metadata, and lineage to support data governance and discoverability.
• Prepare structured, AI-ready datasets and leverage AI tools to improve engineering, testing, and documentation workflows.

Requirements

• 5+ years of experience in analytics engineering, data engineering, or a related role.
• Strong SQL and Python skills, with experience building production-grade data pipelines.
• Hands-on experience with Salesforce data structures, REST APIs, and marketing technology integrations.
• Experience with cloud data platforms such as Snowflake, Databricks, or BigQuery.
• Strong understanding of data modeling, warehousing, data quality, and production data engineering practices.
• Proficiency with modern AI tools to support development, debugging, testing, and documentation.

Preferred Qualifications

• Experience with Rivery, Boomi, or similar data integration tools.
• Familiarity with AI/LLM applications, RAG, BI platforms, marketing attribution, or customer identity resolution.
• Knowledge of data privacy, consent management, and marketing data governance.