2

Remote Data Engineer Jobs in Portland, OR (NOW HIRING)

Lead Data Engineer

Portland, OR · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

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 ...

Full-stack Data Engineer (Remote)

Vancouver, WA · Remote

$119K - $144K/yr

As a Data Engineer, you will help design, improve and maintain our ETL processes. Without which we could not perform our investigations. You'll help find reliable and efficient ways to extract data ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Collaborate with domain experts (engineering, operations) to translate failure patterns into ML ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Senior Software Engineer - Database

Vancouver, WA · On-site +1

$111K - $150K/yr

Description VAST Data is looking for a Senior Software Engineer to join our growing team! This is a great opportunity to join one of the fastest-growing infrastructure companies in history, an ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... Build scalable data processing pipelines and high-throughput service infrastructure * Design and ...

Substation Principal Engineer - Remote

Lake Oswego, OR · On-site +1

$143K - $174K/yr

... Engineering with Power Transformer expertise for our Lake Oswego, OR office or Remote. Be involved ... and data centers. * Strong experience in managing the review and approval of documents and ...

Substation Principal Engineer - Remote

Lake Oswego, OR · On-site +1

$143K - $174K/yr

... Engineering with Power Transformer expertise for our Lake Oswego, OR office or Remote. Be involved ... and data centers. * Strong experience in managing the review and approval of documents and ...

next page

Showing results 1-20

Remote Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do remote data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are the most commonly searched types of Data Engineer jobs in Portland, OR? The most popular types of Data Engineer jobs in Portland, OR are:
What job categories do people searching Remote Data Engineer jobs in Portland, OR look for? The top searched job categories for Remote Data Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Data Engineer jobs? Cities near Portland, OR with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.
Lead Data Engineer

Lead Data Engineer

IT Labs

Portland, OR • Remote

$117K - $140K/yr

Full-time

Posted 12 days ago


Job description

About the Role

At IT Labs, we are looking for an experienced Lead Data Engineer to support one of the most innovative companies in the digital health space.

Our client is transforming healthcare through a technology-driven platform that connects employers and patients with leading medical providers, helping reduce costs and improve outcomes. As they continue to scale, they are investing heavily in modernizing their data infrastructure and analytics capabilities.

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross-functional teams, you will help deliver reliable, high-quality data that powers business decisions and supports the company's growth.
What You'll Do

  • Lead the design, development, and optimization of scalable data platforms and pipelines.

  • Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing.

  • Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.

  • Develop robust integrations with enterprise applications, APIs, and external data providers.

  • Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance.

  • Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions.

  • Implement data quality, validation, monitoring, and observability frameworks.

  • Establish and promote best practices for data governance, lineage tracking, metadata management, and security.

  • Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or equivalent.

  • Mentor other engineers and contribute to architectural decisions, technical standards, and engineering best practices.

Ensure data platforms meet performance, reliability, scalability, and regulatory requirements.
Required Skills

  • 7+ years of experience in data engineering within cloud or hybrid environments.

  • Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines.

  • Advanced SQL skills and proficiency with data transformation techniques.

  • Strong Python programming skills for data processing and automation.

  • Hands-on experience with Snowflake, including:

    • Data modeling

    • Snowpipe

    • Query optimization

    • Schema design

  • Experience migrating from BigQuery or similar columnar data warehouse technologies.

  • Experience with batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent.

  • Experience building enterprise-grade API and source-system integrations.

  • Experience implementing data quality and validation frameworks.

  • Good understanding of:

    • Data governance

    • Data lineage

    • Access control and security best practices

  • Strong problem-solving and communication skills.

  • Ability to work effectively in a collaborative, cross-functional environment.

Nice to Have

  • Experience with Databricks, including:

    • Delta Lake

    • Unity Catalog

    • Spark-based pipelines

  • Experience with Spark, Scala, or PySpark.

  • Familiarity with Tableau.

  • Understanding of HIPAA and HITRUST data handling practices.

  • Experience with dbt (data build tool) for transformation layer management.

  • Experience working within healthcare, insurance, or regulated industries.

Working Conditions
  • Full-time, 40h/week

  • US-based — US citizenship is required

  • Remote

  • Contract or B2B arrangement

Our values

We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don’t ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect.

About IT Labs

Founded in 2005, IT Labs is an international software tech company, specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Our HQ is in Palm Beach Gardens, Florida, and we have teams around the world - the UK, the Netherlands, Brazil, Argentina, Serbia, Croatia, BIH, Montenegro, North Macedonia, and the Middle East. We are constantly growing, and we would love for you to become part of our team!