1

Sr Azure Data Engineer Jobs in Oregon (NOW HIRING)

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

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 ...

OR · On-site

$105K - $143K/yr

As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake architecture while aggressively pushing toward agentic engineering and machine learning operations.

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as ...

OR · On-site

$105K - $143K/yr

About the role As a Senior Data Engineer on the Data Access team, you will be a technical anchor for Human Interest's data platform at a pivotal moment in Human Interest's growth. This role exists to ...

OR · On-site

$150K/yr

... senior engineers, government analysts, and data scientists to implement mission requirements while following security, governance, and access control policiesRequirements:Bachelor 's degree in ...

OR · On-site

$114K - $137K/yr

We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will ...

OR · On-site

$125K - $172K/yr

This is a senior to principal-level individual contributor role who combines deep backend engineering fundamentals with specialized expertise in Electronic Health Record (EHR) data integration. You ...

As a Cloud Engineer, you will consult and contribute to business process improvements of IT ... Azure Data Factory) * Knowledge of identity management, security controls, compliance and ...

Senior Database Administrator

Portland, OR · On-site +1

$62.73 - $77.16/hr

Are you a Senior Database Administrator that is passionate about building the SQL platforms that ... Azure Data Factory, Azure DevOps, Azure Boards, etc). • Advanced knowledge of or skill with ...

Role Overview We are looking for a Sr. Solutions Architect - Managed Services to join our Elastic ... SQL/DevOps, and Azure Data Factory. * Production support experience in large enterprise ...

Showing results 41-60

Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

What are the key skills and qualifications needed to thrive as a Sr Azure Data Engineer?

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.
What job categories do people searching Sr Azure Data Engineer jobs in Oregon look for? The top searched job categories for Sr Azure Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Sr Azure Data Engineer jobs? Cities in Oregon with the most Sr Azure Data Engineer job openings:
Infographic showing various Sr Azure Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Data Engineer

NinjaTrader

OR • On-site, Remote

$100K - $150K/yr

Full-time

Retirement, PTO

Re-posted 16 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.* 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


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