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Marketing Data Engineer Jobs in Oregon (NOW HIRING)

You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to ...

You will collaborate closely with channel marketers, growth leaders, finance partners, and data engineers to deliver models and experimentation frameworks that inform multi-million-dollar decisions.

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of ... Engineer reusable enterprise data assets for business consumption. * Optimize large-scale ...

About the Role The Director, Marketing Technology is a strategic and highly technical leader ... Partner with Technology and Data Engineering teams to ensure scalable architecture, API reliability ...

About the Role The Director, Marketing Technology is a strategic and highly technical leader ... Partner with Technology and Data Engineering teams to ensure scalable architecture, API reliability ...

Lead Data Analyst, Marketing

OR · On-site +1

$86K - $107K/yr

Performance Marketing Optimization : Connects data directly to levers that move the business, i.e ... YOUR ROLE Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that ...

For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of ... Databricks Certified Data Engineer Professional certification. * Experience with Azure cloud ...

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of ... This individual partners closely with engineering, analytics, governance, and business teams while ...

Partner with the Data Engineering team to define reporting requirements, prioritize enhancements ... Marketing Measurement & Operations * Develop and refine measurement frameworks for campaign ...

As a Software Engineer II on the team, you will be part of the broader Growth organization and partner closely with Lifecycle Marketing, Distribution, Insights, Data Platform, Analytics, and ML teams.

As a Software Engineer on the team, you will be part of the broader Growth organization and partner closely with Lifecycle Marketing, Distribution, Insights, Data Platform, Analytics, and ML teams.

Software Engineer II - Data Platform

OR · On-site +1

$114K - $137K/yr

Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal ... The Role The Data Platform team powers Pantheon's data infrastructure and delivers analytics across ...

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Marketing Data Engineer information

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 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 are popular job titles related to Marketing Data Engineer jobs in Oregon?

For Marketing Data Engineer jobs in Oregon, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Marketing Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 8% Internship, 76% Full Time, and 16% Contract. Highlights an 78% In-person, and 22% Remote job distribution.

Senior Data Scientist

Instacart

OR • On-site, Remote

Full-time

Re-posted 8 days ago


Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

42nd of 64 rated delivery companies


Job description

Overview

This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we'll do a team-matching exercise to determine which of the open roles/teams you'll join. At the bottom of this posting, you'll find a breakdown of the currently open roles.

About the Job

  • Own analytical frameworks that guide the product roadmap.
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
  • Develop statistical models to extract trends, measure results, and predict future performance of our products.
  • Build simulations to project the impact of various product and policy interventions.
  • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
  • Present findings in a compelling way to influence Instacart's leadership.

About You

Minimum Qualifications

  • 5+ years of experience working in a quantitative role at a product company or a research organization.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Ability to write complex, efficient, and eloquent SQL queries to extract data.
  • Ability to write efficient and eloquent code in Python or R.
  • A desire to build and improve consumer software products.
  • Ability to translate business needs into analytical frameworks.
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.

Preferred Qualifications

  • Awareness of business trade-offs when working on a multi-sided marketplace.
  • Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

Currently Opened Roles

Marketing | Sr. Data Scientist I (L5)

The Marketing Data Science team is responsible for measurement and optimization across Instacart's paid digital channels, including search, shopping, display, social, and video. As a Senior Data Scientist, you'll build and maintain sophisticated attribution models-including multi-touch and incrementality-based approaches-and develop scalable data pipelines to turn raw marketing data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform budget allocation and growth strategy

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012