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Remote Gcp Data Engineer Jobs in Oregon (NOW HIRING)

Sr. Data Engineer

OR ยท On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing ... Snowflake, MSSQL) and GCP cloud.Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS ...

Data Engineer

OR ยท Remote

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

New

Senior Data Engineer

$105K - $150K/yr

Snowflake, MSSQL) and GCP cloud. Experience with ETL tool such as SSIS, Talend, DataFlow, or AWS ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Data Engineer (L5)

OR ยท On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

$114K - $137K/yr

... Remote and requires U.S. Citizenship Experience with the Department of Energy (DOE) is required ... As a Data Engineer in this role, you will be responsible for designing, building, and maintaining ...

Overview LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ...

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ...

Senior Data Engineer

OR ยท On-site +1

$105K - $143K/yr

We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ... We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine.

Senior Data Engineer

$117K - $146K/yr

Overview The Senior Data Engineer plays a pivotal role within our expanding Data and AI team. This ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

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

Cloud Data Engineer - Clearance Required

$55.75 - $74.50/hr

This position can be remote. Preference will be given to a San Diego, CA candidate. This position ... Solutions Architect, Data Engineer, or equivalent Desired Qualifications * TS/SCI eligibility

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Remote Gcp Data Engineer information

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

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a Remote GCP Data Engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

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

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a Remote GCP Data Engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.
What are the most commonly searched types of Gcp Data Engineer jobs in Oregon? The most popular types of Gcp Data Engineer jobs in Oregon are:
What are popular job titles related to Remote Gcp Data Engineer jobs in Oregon? For Remote Gcp Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Gcp Data Engineer jobs in Oregon look for? The top searched job categories for Remote Gcp Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Gcp Data Engineer jobs? Cities in Oregon with the most Remote Gcp Data Engineer job openings:
Sr. Data Engineer

Sr. Data Engineer

NinjaTrader

OR โ€ข On-site, Remote

$100K - $150K/yr

Other

Retirement, PTO

Posted 24 days ago


Job description

What you'll do:

Your data-driven mindset and ability to work with large-scale data systems enable NinjaTrader to serve customers better, identify new opportunities, and improve processes. As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity to become part of a fast-growing, revolutionary fintech company shaping the future of retail futures trading.

At NinjaTrader, you'll play a key role in designing and operationalizing the modern data platform that powers our analytics, trading tools, and AI initiatives. This role is remote-friendly and reports to the Manager, Data & Analytics Engineering.

As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by providing the platform, tools, and infrastructure they need to deliver deployable solutions to real-world business problems. This goes beyond maintaining pipelines-it's about delivering best-in-class data architecture, scalable workflows, and real-time solutions that power trading, product development, and machine learning.

In this role you will:

  • Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases, including high-volume, low-latency data processing
  • Improve observability, alerting, and SLOs across data systems so pipelines are easier to monitor and issues are caught early
  • Optimize ETL/ELT workflows for performance, scalability, and fault tolerance
  • Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting for partner analysis
  • Build and support event-driven architectures and scalable platform components
  • Contribute to the orchestration and automation of workflows
  • Integrate complex financial APIs and third-party data sources into internal systems
  • Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products
  • Work on feature pipelines and model-ready data to support ML engineers
  • Promote high standards in code quality, testing, and platform reliability
  • Participate in Agile ceremonies and foster a collaborative, growth-oriented team culture

What you'll need:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data engineering, platform engineering, or backend development
  • Strong skills in SQL and Python for building and testing data solutions
  • Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.)
  • Experience with AWS cloud services (S3, Glue, Athena, Kinesis) in addition to GCP; bonus for EMR
  • Experience with CI/CD pipelines, infrastructure-as-code, and version-controlled deployment workflows (e.g., Terraform, GitOps)
  • Hands-on dbt experience building and maintaining dbt projects (models, tests, macros, documentation, CI)
  • Proficiency with workflow orchestration tools (e.g., Airflow, Prefect)
  • Knowledge of data lake architecture, including file formats (Parquet, Avro) and open table formats (Apache Iceberg)
  • Familiarity with event-driven and service-oriented architecture
  • A track record of building automated, well-tested, and observable data systems
  • Comfortable working both independently and collaboratively in a fast-paced Agile environment

Bonus points for:

  • Hands-on Kubernetes experience, especially around data workloads and containerized pipelines
  • Experience with streaming technologies (e.g., Kafka, Spark Streaming, Flink) and comfort working with high-volume, low-latency data flows
  • Experience with change data capture tools (e.g., Debezium, Kafka Connect) and real-time data integration patterns
  • Experience with BI tools like Looker Studio or QuickSight
  • Experience with observability and monitoring tooling (e.g., Datadog, Grafana, Prometheus)
  • Background in fintech, trading, or derivatives

Compensation:

The salary range for this role will be $100,000.00 - $150,000.00 USD. In addition, this position will also receive an annual target bonus of 10%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%).

Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 18 days per year (some positions may qualify for more) plus seven paid holidays.

Location:

This role is based in Chicago, IL. There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.

Hybrid:

For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:

  • 20 additional flex remote days annually
  • 5 Company Wide Office-Optional weeks tied to major holidays