Marketing Data Engineer
Living Spaces•La Mirada, CA
•$90,000 - $120,000
About The Position
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.
Requirements
- 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.
- 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.
Nice To Haves
- Familiarity with Tableau or Power BI is 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 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.
Benefits
- 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)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
