Marketing Data Engineer

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

The Marketing Data Engineer designs, builds, automates, and maintains the data infrastructure that powers Marketing Analytics Intelligence. This role develops reliable data pipelines, integrations, and data models that support reporting, analysis, and decision-making across the marketing organization. The Marketing Data Engineer partners with analysts and business stakeholders to ensure data is accurate, accessible, and scalable while continuously improving the efficiency and reliability of marketing data operations.

Position Description

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• 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 and advertising platforms to support reliable data ingestion.
• Own the full lifecycle of assigned data pipelines, including design, data preparation, coding, testing, deployment, monitoring, optimization, and support.
• Monitor pipelines proactively and resolve data inconsistencies, gaps, and processing errors before they affect reporting or analysis.
• Collect, cleanse, validate, transform, and document marketing data from multiple sources.
• Develop and maintain data models, databases, and reusable datasets that support analytics, reporting, and self-service analysis.
• Partner with analysts and stakeholders to gather business and technical requirements and translate them into scalable data solutions.
• Ensure data structures support accurate measurement of key marketing metrics, including ROAS, CPA, CTR, reach, engagement, conversion rate, and attribution.
• Support dashboard and reporting environments by ensuring underlying data is complete, accurate, and timely.
• Maintain technical documentation for pipelines, integrations, data definitions, and processes to support knowledge sharing and business continuity.
• Develop automation solutions and implement improvements that increase the speed, reliability, scalability, and maintainability of data operations.
• Apply AI and large language model (LLM) tools to enhance data engineering workflows, including data cleansing, anomaly detection, documentation, and code generation.

Qualifications

Education/Experience: Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field, or an equivalent combination of education and experience. Minimum of three years of experience in data engineering, ETL/ELT development, or technical data infrastructure. Hands-on experience automating data ingestion, transformation, and integration processes is required. Experience working with digital marketing data, including advertising platform APIs, campaign performance data, or customer journey data, is expected.

Technical Skills: Proficiency in Microsoft Office, including Word and Outlook. Advanced proficiency in SQL and Python. Strong working knowledge of Google Cloud Platform, including BigQuery, Cloud Composer/Airflow, Dataflow, Cloud Functions, Pub/Sub, and Cloud Storage. Experience with API integrations for digital marketing and advertising platforms, including Google Ads, Meta, Amazon Ads, Adobe Analytics, or similar platforms. Working knowledge of ETL/ELT tools such as dbt, Airflow, and Alteryx, and version control systems such as Git. Familiarity with Tableau or Power BI is preferred.

CertificateNone required.

This position does not have formal supervisory responsibilities.

Position Hiring Range

The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not less than: applicant’s education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.

Compensation: $90,000.00 - $120,000.00

Overtime pay is available for eligible, non-exempt Team Members.Reimbursement for expenses as required by applicable law and Company policy.Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI’s.

Additional available benefits upon meeting eligibility requirements include:

• Medical (full-time only)
• Dental (full-time only)
• Vision (full-time only)
• 401(k) with Company match (full and part-time)
• Vacation (full-time only or as otherwise required by applicable law)
• Paid Sick Leave (full and part-time)
• Flex or Health Spending Account (for eligible full-time only)
• Employee Assistance Program (full and part-time)
• Holiday pay (full-time only)
• Life insurance (full-time only)

For more details, please visit our website at: Careers (livingspaces.com)

Equal Opportunity Employer

It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

E-Verify

Living Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.

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