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Marketing Data Engineer Jobs in Arizona (NOW HIRING)

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using ... Integrate pipelines with marketing and analytics platforms * Work with cross-functional teams to ...

Develops best practices for engaging with Data Engineering and IT to deploy production-ready ... marketing analytics audience strategy, or paid media. * 3+ years working with 3rd party data ...

Develops best practices for engaging with Data Engineering and IT to deploy production-ready ... marketing analytics audience strategy, or paid media. * 3+ years working with 3rd party data ...

You'll work directly with CRM/marketing automation engineering and campaign operations teams to make audience and event data available, reliable, and easy to use. What you'll build * Instrumentation ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

Senior Data Engineer

Mesa, AZ · Remote

$105K - $142K/yr

... marketing locations, specializes in delivering a comprehensive range of high-reliability power and ... Collaborate with developers, and business stakeholders to understand data requirements and ...

... and marketing data. * Develop a deep understanding of data to identify trends, anomalies, and ... Data Engineering & Pipeline Development · Develop and maintain scalable data pipelines on Google ...

Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $135K/yr

Information Security, Service Delivery, Business Enabling Systems, eCommerce & Marketing Technology ... The Senior Data Engineer is responsible for creating sustainable reporting, analytic, and data ...

Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $135K/yr

Information Security, Service Delivery, Business Enabling Systems, eCommerce & Marketing Technology ... The Senior Data Engineer is responsible for creating sustainable reporting, analytic, and data ...

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Showing results 1-20

Marketing Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do marketing data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for marketing data engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is the difference between Marketing Data Engineer vs Data Analyst?

AspectMarketing Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines for marketing dataAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams within marketing or analytics departmentsBusiness units, marketing teams, or analytics departments
Tools UsedApache Spark, Hadoop, cloud data servicesTableau, Power BI, Excel

The main difference is that Marketing Data Engineers focus on creating and managing the infrastructure for marketing data, while Data Analysts interpret that data to provide actionable insights. Both roles often collaborate but serve distinct functions within data-driven marketing strategies.

What is a marketing data engineer?

Marketing Data Engineers are professionals who design, build, and manage data systems that enable marketing teams to collect, process, and analyze large volumes of marketing data. They work at the intersection of data engineering and marketing analytics, ensuring that data pipelines are robust, scalable, and optimized for marketing use cases. Their work helps organizations make informed marketing decisions by providing reliable and accessible data from multiple sources, such as web analytics, CRM systems, and advertising platforms. Marketing Data Engineers often collaborate closely with data analysts, data scientists, and marketers to create solutions that drive business growth.

How do marketing data engineers typically collaborate with marketing teams to drive data-driven campaigns?

Marketing Data Engineers work closely with marketing teams by designing data pipelines that collect and process campaign performance data, ensuring marketers have timely and accurate insights. They often participate in cross-functional meetings to understand campaign goals and translate them into data requirements, dashboards, or reports. This collaboration enables marketers to make informed decisions, optimize strategies, and measure ROI effectively. Regular communication and a clear understanding of marketing objectives are key to ensuring the technical solutions provided align with business needs.

What are the key skills and qualifications needed to thrive as a marketing data engineer, and why are they important?

To thrive as a Marketing Data Engineer, you need strong skills in data modeling, SQL, and data pipeline development, often supported by a degree in computer science, engineering, or a related field. Experience with ETL tools, cloud data platforms (like AWS or GCP), and marketing analytics systems such as Google Analytics is typically required. Excellent problem-solving, communication, and collaboration skills help you translate business requirements into technical solutions and work effectively with marketing teams. These abilities ensure accurate, actionable insights that drive data-driven marketing strategies and business growth.

What job categories do people searching Marketing Data Engineer jobs in Arizona look for?

The top searched job categories for Marketing Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Marketing Data Engineer jobs?

Cities in Arizona with the most Marketing Data Engineer job openings:

Senior GCP Data Engineer

Staffingine LLC

Phoenix, AZ • On-site

$105K - $143K/yr

Contractor

Re-posted 22 days ago


Job description

Job Title: Senior GCP Data Engineer
Job Location: Phoenix, AZ
Job Type: Contract

Job Description:

Data Engineering & Pipelines

  • Design and develop batch and streaming pipelines using Dataflow (Apache Beam)
  • Build real-time data pipelines using Pub/Sub
  • Develop cross-project data integrations ensuring security and scalability

Data Processing & Transformation

  • Perform complex data transformations using BigQuery (advanced SQL)
  • Implement data enrichment, aggregation, and transformation logic
  • Handle encryption/decryption within data workflows

Workflow Orchestration

  • Develop and manage Airflow DAGs via Cloud Composer
  • Orchestrate batch and streaming pipelines with dependency handling
  • Monitor, troubleshoot, and optimize workflows

Real-Time Processing

  • Build low-latency streaming solutions using Dataflow + Pub/Sub
  • Manage error handling, retries, late-arriving data, and idempotency

Integration & Collaboration

  • Integrate pipelines with marketing and analytics platforms
  • Work with cross-functional teams to deliver data-driven solutions

Required Skills

GCP Stack

  • Dataflow (Apache Beam) – batch & streaming
  • Pub/Sub – real-time messaging
  • BigQuery – advanced SQL & performance tuning
  • Cloud Composer (Airflow) – orchestration

Technical Skills

  • Python (advanced) – pipeline development & Airflow DAGs
  • SQL (advanced) – joins, window functions, large-scale analytics

Core Concepts

  • Event-driven architecture
  • Streaming data processing (exactly-once / at-least-once)
  • Error handling and replay strategies

Preferred Skills

  • Experience with marketing data platforms / customer data models
  • Exposure to data security, encryption, and compliance
  • Experience in multi-project GCP environments
  • Familiarity with CI/CD for data pipelines