Analytics Engineer

Analytics Engineer The Analytics Engineer will design and maintain scalable data pipelines and data models that transform marketing and enterprise data into reliable, analytics-ready datasets. This role will work across APIs, cloud data platforms, Salesforce, and marketing technologies while ensuring data quality, documentation, governance, and readiness for analytics and AI/LLM use cases. Responsibilities • 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. • Implement data quality, testing, monitoring, validation, and troubleshooting processes. • Maintain metadata, data definitions, lineage, and technical documentation. • Prepare datasets and documentation for AI/LLM applications and leverage modern AI tools across development, testing, debugging, and documentation. Qualifications • 5+ years of experience in Analytics Engineering, Data Engineering, or a similar role. • Strong SQL and Python skills with production data pipeline experience. • Experience with modern cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong experience with REST APIs, including authentication, pagination, error handling, and schema changes. • Hands-on experience with Salesforce data and marketing technology ecosystems. • Strong understanding of data modeling, data warehousing, data quality, governance, and production engineering practices. • Experience supporting analytics, reporting, dashboarding, and analytical modeling. • Proficiency with modern AI tools and experience incorporating AI into engineering workflows. Nice to Have • Experience with Rivery and/or Boomi. • Experience preparing data for AI/LLM, RAG, or agent-based applications. • Experience with Power BI, Tableau, or Looker. • Background in advanced analytics, machine learning, customer identity resolution, marketing attribution, or campaign measurement. • Experience with data privacy, consent management, and customer/marketing data governance.