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Senior Data Platform Engineer Jobs in Oregon (NOW HIRING)

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels ... Engineering) at a senior level. * MS/PhD in Statistics, Economics, Applied Mathematics, or a ...

Partner with data platform engineers to guide datasets through transformation stages, ensuring quality progression into trusted, consumable data layers * Work cross-functionally with engineering ...

Sr. Data Engineer

Beaverton, OR · On-site

$100 - $130/hr

The Sr. Data Engineer position is going to help the Digital Dash team pull data from various sources, store it in a database where we can access it, write/schedule jobs to get the data to flow in a ...

New

Senior Platform Engineer, Infrastructure

OR · On-site +1

$108K - $147K/yr

We're looking for a Senior Platform Engineer, Infrastructure to build and own the foundational cloud and source control infrastructure that sits outside our product. This role is distinct from our ...

Senior Platform engineer

OR · On-site +1

$104K - $143K/yr

Herndon, VA (Remote) Type: Full-time Who You Are We're looking for a Platform Engineer to help build and maintain the infrastructure that empowers our engineering teams to ship software reliably at ...

Senior Data Product Manager

OR · On-site +1

$126K - $166K/yr

Senior Data Product Manager AcuityMD is a software and data platform that accelerates access to ... Our team is the critical link between what our engineers build and what our customers need. We are ...

PayLynxs is hiring a Senior Data Integration Engineer to join our team in Portland, Oregon! Description We are looking for a hands-on Senior DevOps Engineer to be part of our DevOps team, with a ...

PayLynxs is hiring a Senior Data Integration Engineer to join our team in Portland, Oregon! Description We are looking for a hands-on Senior DevOps Engineerto be part of our DevOps team, with a ...

... platform that supports them; translate that strategy into a 12-24 month roadmap with measurable milestones. * Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology ... We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine.

Software Engineer II - Data Platform

OR · On-site +1

$114K - $137K/yr

Working knowledge of data structures, algorithms, and object-oriented programming. * Experience with cloud platforms (AWS, Azure, GCP) and deployment practices. * Experience with agile development ...

The Data Platform Organization enables us to leverage data to bring joy to our members in many ... We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We ...

Finance Data Platform Specialist

OR · On-site +1

$115K - $130K/yr

Work closely with Data Engineers and Data Architects to clarify business requirements and validate ... Participate in platform enhancements, process improvements, and release activities. * Collaborate ...

Staff Data Engineer

OR · On-site +1

$114K - $137K/yr

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations ... We're looking for a Staff Data Engineer who can take ownership of and drive key initiatives across ...

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

Showing results 41-60

Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

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

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What is the difference between Senior Data Platform Engineer vs Data Engineer?

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Oregon?

The most popular types of Data Platform Engineer jobs in Oregon are:

What cities in Oregon are hiring for Senior Data Platform Engineer jobs?

Cities in Oregon with the most Senior Data Platform Engineer job openings:

Senior Data Scientist

Instacart

OR • On-site, Remote

Full-time

Re-posted 20 days ago


Instacart rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

35th 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