Summary
✨ AI‑Generated
An experienced analytics engineering position focused on creating scalable data pipelines, integrating enterprise data sources, developing models, and enabling advanced reporting and AI-driven capabilities.
Highlights
Role focused on building reliable data systems, analytics assets, and modern AI-ready data solutions within a collaborative environment.
Description
Position Overview
We are seeking an experienced Business Intelligence Engineer/ Analytics Engineer to support an internal marketing data team.
This role will focus on building and maintaining data pipelines, integrating marketing and Salesforce data, developing data models, and creating reliable datasets for analytics and reporting.
Key Responsibilities
Build and maintain scalable data pipelines using Python and SQL.Ingest and integrate data from Salesforce, marketing platforms, APIs, and other enterprise sources.Develop data transformations and models for analytics, reporting, and dashboards.Ensure data quality through testing, validation, monitoring, and troubleshooting.Create technical documentation, metadata, data definitions, and data lineage.Support AI/LLM-ready data assets and leverage modern AI tools throughout development and documentation.
Required Qualifications
5+ years of experience in Analytics Engineering or a similar data-focused engineering role.Strong Python and SQL skills.Experience with Snowflake, Databricks, BigQuery, or another modern cloud data platform.Experience building data pipelines and integrating REST APIs.Strong experience working with marketing data and marketing technology ecosystems.Hands-on Salesforce experience strongly preferred.Knowledge of data modeling, warehousing, data quality, and governance.Experience supporting downstream analytics, reporting, and dashboarding.
Preferred Qualifications
Experience with Rivery or Boomi.Experience preparing data for AI/LLM applications, RAG, or agent-based use cases.Experience with Tableau, Power BI, or Looker.Experience with marketing attribution, campaign measurement, customer identity resolution, or customer data.Experience with data privacy, consent management, and marketing data governance.
