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Remote Aws Data Engineer Jobs in Oregon (NOW HIRING)

Senior Data Engineer AI

$140K - $165K/yr

Any Databricks / AWS certifications is a big plus. * Strong SQL and data modeling skills ... remote #senior Employment Type: OTHER

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Remote#LI-MJ1#SeniorEmployment Type: OTHER

The Ideal Candidate You are a Data Engineer who approaches data engineering as a software ... Remote What We Offer Benefits * Excellent, full coverage medical, dental, and vision insurance ...

New

$130K/yr

The Ideal Candidate You are a Data Engineer who approaches data engineering as a software engineering discipline. You have experience building reliable, scalable, and maintainable data platforms ...

New

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ... Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust ...

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

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Remote Aws Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do remote aws data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote aws data engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is a Remote AWS Data Engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

How does a remote AWS Data Engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What are the key skills and qualifications needed to thrive as a Remote AWS Data Engineer, and why are they important?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.
What are the most commonly searched types of Aws Data Engineer jobs in Oregon? The most popular types of Aws Data Engineer jobs in Oregon are:
What are popular job titles related to Remote Aws Data Engineer jobs in Oregon? For Remote Aws Data Engineer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Remote Aws Data Engineer jobs? Cities in Oregon with the most Remote Aws Data Engineer job openings:
Data Engineer (Vantage) - Clearance Required

Data Engineer (Vantage) - Clearance Required

Logistics Management Institute

On-site, Remote

$101K - $174K/yr

Other

Re-posted 2 days ago


Job description

Overview

LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions. You will transform raw data from authoritative Army sources into structured, actionable "Objects" within the Vantage (Palantir Foundry) environment.

Focus: Scaling data pipelines and ontology management within the Army Vantage/Advana ecosystem.

Active Secret clearance required.

Location: Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

Core Responsibilities:

  • Data Pipelines: Design, build, and maintain scalable ETL pipelines using Python and PySpark within Palantir Foundry.
  • Ontology Management: Develop and refine "Objects" (e.g., Soldiers, Equipment, Units) and their relationships to ensure a clean, accurate digital representation of Army operations.
  • Data Hygiene: Assist with the cleanup of legacy data models and implement automated data quality checks.
  • Decision Support: Build low-code/no-code applications and dashboards that allow senior leaders to access high-quality data in real-time.
  • Architecture: Implement Medallion Lakehouse concepts to organize data into Bronze, Silver, and Gold layers for downstream analytics.
Qualifications

Qualifications:

  • Technical: 5-8 years of experience in Data Engineering with expert proficiency in Python, SQL, and PySpark.
  • Platform: Demonstrated experience with Army Vantage (Palantir Foundry) and the Advana ecosystem.
  • Clearing: Active DoD Secret Clearance required.
  • Bonus: Familiarity with Army data sources like IPPS-A, GCSS-Army, or GFEBS.

Travel: Minimal 10%

Location: Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD.

Target salary range: $101,144 - $174,591

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Employment Type: OTHER