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Remote Snowflake Jobs in Oregon (NOW HIRING)

Co-Sell with Snowflake, AWS, and other ecosystem partners to sell transformative data and AI ... Remote-First Work Environment * A casual, award-winning small-business work environment * A culture ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design. * Lead ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Senior Commercial Exchange Analyst

OR · On-site +1

$87K - $116K/yr

Strong SQL skills and experience working with large-scale datasets (BigQuery, Snowflake, Databricks ... We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel ...

Co-Sell with Snowflake, AWS, Anthropic and other ecosystem partners to sell transformative data and ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

Senior Software Engineer, Capital Insights

OR · On-site +1

$122K - $161K/yr

... ClickHouse / Snowflake / BigQuery / Redshift, or equivalent technologies * Experience owning ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

This is a senior individual contributor role open to remote candidates across the United States ... Deep experience with Snowflake, BigQuery, Redshift, or similar warehouses. * Hands-on experience ...

Remote, US About the Role We are seeking an experienced Senior Customer Solutions Resident ... Expertise with at least one modern cloud data platform (Snowflake, Databricks, BigQuery, or ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

... Looker, Snowflake, Redshift, Tableau, Mode * Degree in Economics, Statistics, Mathematics ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... data platforms (Snowflake, Databricks), and data processing frameworks (Hadoop, Spark)

Manager, Sales Operations

OR · Remote

$132K - $156K/yr

Remote work may be considered for those outside of commutable distance to an office. ESSENTIAL ... Snowflake proficiency required * BI tools familiarity preferred, ideally Tableau or MS Power BI At ...

Growth Customer Success Manager

OR · Remote

$125K - $150K/yr

Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and Dale ... We are targeting a East Coast based Remote hire. About you: * 3+ years of experience as an ...

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

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Remote Snowflake information

See Oregon salary details

$37

$71

$89

How much do remote snowflake jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for remote snowflake in Oregon is $71.48, according to ZipRecruiter salary data. Most workers in this role earn between $63.27 and $81.06 per hour, depending on experience, location, and employer.

Is it hard to get hired at Snowflake?

Getting hired for a remote Snowflake role can be competitive, as the company seeks candidates with strong data warehousing skills, cloud platform experience, and proficiency in SQL and Python. Candidates often go through multiple interview rounds assessing technical knowledge and problem-solving abilities. Having relevant certifications and a solid understanding of cloud environments can improve chances of success.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly sought after, and many organizations are hiring for these positions to support data-driven decision making.

What are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a Remote Snowflake job?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

How to make $80,000 a year working from home?

A remote Snowflake professional can earn $80,000 or more annually by gaining expertise in data warehousing, SQL, and cloud platforms, often requiring certifications like Snowflake Certified Data Engineer. Building a strong portfolio, demonstrating technical skills, and working for companies that offer remote roles with competitive salaries can help achieve this income level.

Does Snowflake offer remote jobs?

Yes, Snowflake offers remote job opportunities across various roles, including positions in data engineering, software development, and sales. Many of these roles are fully remote or have flexible work arrangements, often requiring familiarity with cloud platforms and data tools.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

What are the most commonly searched types of Snowflake jobs in Oregon? The most popular types of Snowflake jobs in Oregon are:
What are popular job titles related to Remote Snowflake jobs in Oregon? For Remote Snowflake jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Remote Snowflake jobs? Cities in Oregon with the most Remote Snowflake job openings:
Infographic showing various Remote Snowflake job openings in Oregon as of June 2026, with employment types broken down into 81% Full Time, 10% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $148,676 per year, or $71.5 per hour.
Ads AI Analytics Lead II

Ads AI Analytics Lead II

Instacart

OR • Remote

Other

Posted 26 days ago


Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies


Job description

Overview

The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance.

As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift.

About the Job

  • Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
  • Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
  • Ingest and enrich unstructured Ads content and publish retrievalready datasets using our managed search/vector services.
  • Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and reranking; set quality/latency targets and iterate via experiments.
  • Design agent reasoning and policies on ads, including tool definitions and humanintheloop approvals.
  • Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
  • Run A/B or uplift experiments to quantify impact and guide iteration.
  • Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and timetoinsight.

About You

Minimum Qualifications

  • 3-6 years in analytics engineering, data science, or applied AI with strong SQL and Python.
  • 2+ years of domain expertise in ads, retail, or e-commerce data.
  • Advanced Proficiency in Python and SQL, with experience using dbt and Snowflake or BigQuery, including skills in data modeling, testing, and managing data contracts.
  • Deep Expertise in orchestrating data pipelines using dbt and Airflow
  • Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar)
  • Ability to design offline/online evaluations and run A/B or uplift tests
  • Fluency in Ads analytics concepts such as ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
  • Strong stakeholder communication with a track record of shipping production data or AI systems that drove business impact.
  • Understanding of ML models to drive recommendations on bid, keywords, and budgets
  • Experience with evaluation and guardrail frameworks and humanintheloop QA.

Preferred Qualifications

  • Strong understanding of AI and machine learning concepts, with experience creating AI-driven products.
  • Deep expertise in advertising products, including leading and driving automation projects.
  • Proven ability to improve operational efficiency through automation initiatives in fast-paced environments.
  • Applied experience in modeling techniques for Ads, including forecasting, anomaly detection, uplift modeling, and causal inference.
  • Hands-on experience with workflow automation and low-code development platforms (Zapier, n8n, Gumloop, Superblocks)
  • Familiarity with retail media or ad platforms, including Amazon, Google, Meta, Shopify, or DoorDash.

#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