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Analytics Engineer Remote Dbt Jobs in Oregon (NOW HIRING)

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Collaborate with analytics engineering and software engineering to continuously up-level our ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Lead Automation Engineer

$102K - $134K/yr

Lead Automation Engineer Remote Company Overview: AMSURG is an independent leader in ambulatory ... Analyze business requirements specification, then translate into functional specifications. * Write ...

Senior Software Engineer, Capital Insights

OR · On-site +1

$122K - $161K/yr

Hands-on experience with data pipelines or analytical data stores, such as Airflow, Spark, dbt ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Data Engineer

$90K - $135K/yr

Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex ... Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language ...

Threat Intelligence Engineer (REMOTE)

OR · Remote

$51 - $66.25/hr

As a result, organizations can increase speed and accuracy while reducing costs and analyst burnout ... The Threat Intelligence Engineer is someone with real threat intelligence depth and the technical ...

Marketing Operations Engineer - REMOTE

OR · Remote

$69K - $93K/yr

POSITION SUMMARY The Marketing Operations Engineer/ GTM Engineer is responsible for designing ... Analyze account and contact-level data to identify patterns in signal quality, conversion, and ...

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Strong analytical, communication, and problem-solving skills. Preferred Qualifications:

Senior Data Analyst

OR · Remote

$85K - $108K/yr

... analytics engineering roles * Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.) * Experience building and supporting ...

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

... analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance ... dbt, Delta Lake, Scala, Python, Postgres, and AWS. You'll join a focused team of 7 engineers that ...

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field preferred 5+ years of hands-on experience building, maintaining, and optimizing dbt Core ...

Showing results 21-40

Analytics Engineer Remote Dbt information

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 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.

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 cities in Oregon are hiring for Analytics Engineer Remote Dbt jobs? Cities in Oregon with the most Analytics Engineer Remote Dbt job openings:
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.

Staff Data Analyst, Servicing

Upstart

OR • On-site, Remote

$61K - $81K/yr

Other

Re-posted 4 days ago


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team: 

Upstart's Servicing Analytics team plays a critical role of providing analytical capability for Upstart's servicing functions to enable data-driven decision making. We leverage our analytical and technical skills to support our partners with a multitude of services.. 

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in influencing Upstart's success. Partnering closely with our Servicing product management, operations, engineering, and ML teams, you'll work directly with key stakeholders, helping drive understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our recoveries and collections strategy. You'll contribute to key areas such as identifying areas of opportunity via business reviews with leaders and product experiments, and driving operational efficiency. This role involves conducting in-depth analyses, building business intelligence pipelines, designing A/B tests, and collaborating with cross-functional teams to drive impacts. 

How you'll make an impact

Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements.Create regular executive level presentations to communicate findings and strategic recommendations. Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities. Collaborate with analytics engineering and software engineering to continuously up-level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights. Develop and maintain business intelligence tools to support reporting and decision-making. Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation

Minimum Qualifications 

  • 8+ years work experience in increasingly senior analytical roles in technology and finance industry
  • Strong background  in payments, product, or operations analytics, with hands-on proficient in SQL, Python and/or R
  • Exceptional track record of deriving actionable insights from analysis and analytical storytelling
  • Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode
  • Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success

Preferred Qualifications

  • Strong analytical and quantitative background with experience in conducting and evaluating A/B tests, ideally in Financial and/or Operational related fields
  • Expertise in consumer lending, and knowledge of post origination servicing and/or operations
  • Skilled at crafting executive-ready narratives around complex business topics and successfully influence VP+ decision making
  • Demonstrated ability to work collaboratively and in deep partnership with cross-functional teams
  • Demonstrated ability to balance multiple workstreams and priorities; experience influencing up and cross functionally to maximize positive impact to the organization
  • Experience in coaching and mentoring junior team members on technical subjects

Position location This role is available in the following locations: Remote

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE

#LI-MidSenior 


What Upstart employees say

Pay

Hours and flexibility

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