Marketing Data Engineer

Anarust Inc.; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading restaurant group in Houston is seeking a Marketing Data Engineer passionate about transforming data into insights to drive marketing success. This role involves designing and maintaining ETL pipelines, consolidating data, and building intelligence dashboards. Ideal candidates should have a Bachelor's degree in a related field and over 3 years of experience in data engineering or marketing analytics, alongside skills in ETL tools and cloud data services.

Qualifications

• 3+ years experience as a Data Engineer, Marketing Analyst, or Analytics Engineer.
• Experience with ETL/ELT pipelines.
• Familiar with marketing data sources: Google Analytics, Meta Ads.

Responsibilities

• Design and maintain automated ETL/ELT data pipelines.
• Consolidate structured and unstructured data into a marketing analytics warehouse.
• Build analytical datasets to support campaign performance.

Skills

Data Engineering

Marketing Analytics

Data Quality

Python (Pandas, NumPy)

Cloud Data (AWS, Azure, GCP)

Education

Bachelors degree in Data Engineering, Computer Science, Data Analytics, Statistics

Tools

ETL/ELT pipelines (Airflow, AWS Glue, Fivetran, dbt)

Power BI

Tableau

Google Looker Studio

Job description

Overview

DIVIETO Ristorante Group is one of the fastest-growing upscale restaurant brands in the United States, known for delivering exceptional Italian cuisine and unforgettable dining experiences. As we continue to expand nationally, we rely heavily on data and analytics to guide revenue growth, enhance guest loyalty, and optimize marketing strategies. We are looking for a Marketing Data Engineer who is passionate about transforming data into insight-driven decisions and enabling data-powered marketing success.

Responsibilities

• Design, build, and maintain automated ETL/ELT data pipelines from marketing platforms (Google Ads, Meta Ads, Mailchimp, HubSpot/CRM, Google Analytics, POS, loyalty systems).
• Develop and manage data integrations using REST APIs, webhooks, and cloud data tools.
• Consolidate structured & unstructured data into a unified marketing analytics warehouse.
• Ensure data quality, integrity, and compliance across all pipelines.
• Marketing Analytics
  • Build analytical datasets for campaign performance, customer segmentation, digital ROI, and brand growth.
  • Implement multi-touch attribution and lifetime value (LTV) models.
  • Support CRM and loyalty program analytics.
  • Forecast performance using modeling and predictive analytics.
  • Build business intelligence dashboards (Power BI, Tableau, Looker, or Google Looker Studio).
  • Deliver weekly and monthly marketing performance insights.
  • Create dashboards for paid media, conversions, campaign attribution, and guest retention.
  • Communicate data findings to leadership and marketing teams.
• Data Governance
  • Enforce data security and retention policies.
  • Ensure compliance with CCPA, CAN-SPAM, GDPR (where applicable).
  • Document data pipelines and reporting logic.

Qualifications

• Required Qualifications
  • Bachelors degree in Data Engineering, Computer Science, Data Analytics, Statistics, or related field.
  • 3+ years experience as a Data Engineer, Marketing Analyst, or Analytics Engineer.
  • Experience with ETL/ELT pipelines (Airflow, AWS Glue, Fivetran, dbt, Talend, or similar).
  • Familiar with marketing data sources: Google Analytics, Meta Ads, Google Ads, CRM, loyalty, POS systems.
  • Proficient with cloud data (AWS, Azure, or GCP).
• Preferred Qualifications
  • Experience with Python (Pandas, NumPy, API requests).
  • Experience working with Salesforce or HubSpot CRM.
  • Familiar with Snowflake, BigQuery, or Redshift.
  • Experience supporting marketing attribution and growth frameworks.
  • Understanding of restaurant or eCommerce analytics is a plus.
• Soft Skills
  • Strong communication and collaboration skills.
  • Ability to manage multiple projects independently.
  • Detail-oriented and highly analytical.
  • Problem-solving mindset with business intelligence awareness.