Marketing Data Engineer: Build Scalable Data Pipelines

Living Spaces Furniture; La Mirada (CA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical (full-time only)

Dental (full-time only)

Vision (full-time only)

401(k) with Company match (full and部分)

Vacation (full-time only or as elsewhr

Paid Sick Leave (full and part-time)

Flex or Health Spending Account (for\n

Employee Assistance Program (full and\

Job summary

Living Spaces Furniture in California is seeking a Marketing Data Engineer to design, build, and maintain the data infrastructure powering marketing analytics. You will develop reliable data pipelines, data models, and integrations that support reporting, analysis, and decision-making across the marketing organization.

Collaborating with analysts and stakeholders, you will ensure data accuracy, accessibility, and scalability.

Qualifications

• 3+ years in data engineering or technical data infrastructure.
• Experience automating data ingestion, transformation, and integration.
• Experience with digital marketing data and ad platform APIs preferred.

Responsibilities

• Design, develop, and maintain automated data pipelines and workflows using Alteryx, Google Cloud Platform, SQL, and Python.
• Build, maintain, and troubleshoot API integrations with digital marketing platforms for reliable ingestion.
• Own full lifecycle of data pipelines from design to deployment and monitoring.
• Monitor pipelines and resolve data inconsistencies before reporting.
• Collect, cleanse, validate, transform, and document marketing data from multiple sources.
• Develop and maintain data models, databases, and reusable datasets for analytics.
• Collaborate with analysts to gather requirements and translate into scalable data solutions.
• Ensure data structures support accurate measurement of ROAS, CPA, CTR, reach, engagement, and attribution.
• Support dashboards and reporting by ensuring data is complete and timely.
• Maintain documentation for pipelines, data definitions, and processes.
• Develop automation enhancements to improve speed, reliability, and maintainability.
• Apply AI/LLM tools to enhance data workflows and documentation.

Skills

Data engineering

SQL

Python

Alteryx

Google Cloud Platform

API integrations

ETL/ELT

BigQuery

Git

Tableau/Power BI

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or related field

Tools

dbt

Airflow

Git

Tableau/Power BI

Job description

Living Spaces Furniture in California is seeking a Marketing Data Engineer to design, build, and maintain the data infrastructure powering marketing analytics. You will develop reliable data pipelines, data models, and integrations that support reporting, analysis, and decision-making across the marketing organization.

Collaborating with analysts and stakeholders, you will ensure data accuracy, accessibility, and scalability.