Jobs › Companies › Living Spaces › Marketing Data Engineer

Über diese Marketing Data Engineer Stelle bei Living Spaces

Living Spaces · Vor Ort · La Mirada, CA - Corporate

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

Bereit, sich bei Living Spaces zu bewerben?
Bei Living Spaces bewerben

Wie sich dieses Gehalt für Data Engineer vergleicht

Diese Stelle zahlt $105,000/yr — unter der üblichen Spanne für Data Engineer Stellen.

$101,500 dem Median $163,700 $240,000

Übliche Spanne $129,930–$193,000/yr, aus 1,799 vergleichbaren Data Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Engineer ansehen →

Über Living Spaces

At Living Spaces, we take pride in being an environment that cultivates the best in our Team Members. From our corporate office in La Mirada, to our Distribution Centers, Manufacturing, Guest Services, Transportation, to any of our retail stores in the United States, you’ll find Team Members who have started and grown their careers at Living Spaces. We are a company driven by our core values of humility & respect, passion, innovation, speed & simplicity, fanatic discipline, social responsibility, coupled with the desire to provide our guests with the best possible experience they can have while furnishing their space. We continuously strive to find dedicated, innovative, driven, enterprising

Alle Jobs bei Living Spaces ansehen →

Ähnliche Jobs

NXP Semiconductors
Non-Volatile Memory (NVM) Reliability Engineer – Device Physics & Data Analytics
NXP Semiconductors
⚡ Früh bewerben Hsinchu Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 44 Min.
Dentsu
Data Engineer - GCP
Dentsu
⚡ Früh bewerben DGS India - Pune - Indiqube Or... Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 49 Min.
ME
Senior Data Engineer
Medtronic
⚡ Früh bewerben Edinburgh, Scotland, United Ki... Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Mondelez International
Data Engineer (Data & Product Engineering)
Mondelez International
⚡ Früh bewerben Bucharest, Romania Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Cisco
Consulting Engineer - Data Center
Cisco
⚡ Früh bewerben Pune, India Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Roche
Senior Data Center Network Engineer
Roche
⚡ Früh bewerben Madrid Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
MA
Senior Principal Engineer - Data Engineering
Marsh
⚡ Früh bewerben Pune - Business Bay Hybrid
● Neu 👁 Gesehen ✓ Beworben vor 2 Std.
Beyond
Core Data Engineer
Beyond
⚡ Früh bewerben Taguig, Metro Manila, Philippi... Hybrid
● Neu 👁 Gesehen ✓ Beworben vor 2 Std.
NVIDIA
Relational Foundation Model Engineer, Modern Data Stack
NVIDIA
⚡ Früh bewerben Germany, Munich Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 2 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei Living Spaces

Alle Jobs bei Living Spaces ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos