Job description

Position Summary 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. Supervisory Responsibilities 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 limited to: 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. Applicant Privacy

Requirements

Must-haves

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.
CertificateNone required. Supervisory Responsibilities This position does not have formal supervisory responsibilities.
Compensation: $90,000.00 - $120,000.00
Additional available benefits upon meeting eligibility requirements include:
Medical (full-time only)
Dental (full-time only)
Vision (full-time only)
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)
Holiday pay (full-time only)
For more details, please visit our website at: Careers ( livingspaces.com )

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonapiaillm

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)