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Analytics Engineer Remote Dbt Jobs in Oregon (NOW HIRING)

Instacart

Senior Data Engineer II, Finance

OR · On-site +1

$105K - $143K/yr

Engineering at Instacart provides the opportunity to work on challenging scaling problems while ... dbt (Data Build Tool) and Airflow. * Experience with SOX controlled data systems. #LI-Remote

Motive

Senior Analyst, Strategic Analytics

OR · On-site +1

$85K - $106K/yr

Partner closely with data engineering, finance, and product teams to understand cost drivers ... Fully remote with a collaborative, high-trust culture

Human Interest

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Our stack includes Snowflake, dbt, Airflow, Meltano, and Terraform on AWS. We're a small, highly ... Mentor data engineers and analysts, raising the technical bar across the team. What you bring to ...

360training

Data Architect Manager

Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust ... dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies. * Practical experience with ...

Fieldwire

Data Engineer

OR · On-site +1

$120K - $150K/yr

... analytics, and business decision-making across Fieldwire. You will work closely with Data Insights ... This is a fully remote role based in the United States. What you'll be doing The primary ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

... and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling ... Work closely with machine learning engineers, product managers, and other stakeholders to integrate ...

Gnostech LLC

Software Engineer (US-Remote)

OR · On-site +1

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ...

Cheesecake Labs

$63.75 - $82/hr

... Modernization, Data & Analytics, Product Engineering, AI-Accelerated Delivery, and Embedded ... Remote-first * Flexible allocation depending on project availability and fit * Opportunities may ...

Grafana Labs

Staff AI Engineer | US | Remote

OR · On-site +1

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... calendars, analytics tools) * Architect data flows for retrieval-augmented generation (RAG ...

Adswerve, Inc

Technical Lead 1, Analytics

OR · On-site +1

$85K - $105K/yr

Partner closely with client engineering and web development teams to translate tracking ... Monthly Remote Work Stipend * New Hire Office Equipment Reimbursement Adswerve is an Equal ...

Parachute Health

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

Work closely with analytics engineers on data modeling. You'll shape what gets built in the ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

SOLV Energy

Substation Engineer 2 (Remote)

OR · On-site +1

$98K - $125K/yr

Perform root cause analysis and recommend corrective actions for substation failures. * Stay ... Proficiency in engineering software tools such as ETAP, SKM, or PSS/E for power system analysis a ...

Fuze Health

Senior Manager, Data Engineering

OR · On-site +1

... Analytics to build and manage transformation logic within dbt, while enforcing standards for ... Fuze Health Benefits Site #LI-Remote Equal Opportunity Employer Fuze Health is an Equal Opportunity ...

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Analytics Engineer Remote Dbt information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

What are popular job titles related to Analytics Engineer Remote Dbt jobs in Oregon?

For Analytics Engineer Remote Dbt jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer Remote Dbt jobs in Oregon look for?

The top searched job categories for Analytics Engineer Remote Dbt jobs in Oregon are:

What cities in Oregon are hiring for Analytics Engineer Remote Dbt jobs?

Cities in Oregon with the most Analytics Engineer Remote Dbt job openings:

Analytics Engineer Remote Dbt jobs near you
Infographic showing various Analytics Engineer Remote Dbt job openings in Oregon as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Data Engineer II, Finance

Instacart

OR • On-site, Remote

$105K - $143K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • Manage initiatives from design through execution to own critical data integration pipelines and models for financial reporting.

  • Collaborate with finance, accounting, billing, and revenue teams to understand their data needs and develop reliable, scalable data solutions.

  • Mentor team members and drive organization-wide initiatives to shape the financial data infrastructure and strategy.

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

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.
Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.
The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job
  • You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
  • You are expected to mentor other team members and be a champion of engineering excellence across the organization.
  • You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
  • You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
  • You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.
About YouMinimum Qualifications
  • 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
  • Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
  • Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
  • Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
  • Expert with SQL and dbt (Data Build Tool).
  • Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
  • Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
  • Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
  • An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
  • Experience working with a large codebase on a cross functional team.
Preferred Qualifications
  • Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
  • Experience with Snowflake, dbt (Data Build Tool) and Airflow.
  • Experience with SOX controlled data systems.


#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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