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Remote Sql 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. ... Strong skills in SQL and Python for building and testing data solutions * Hands-on experience with ...

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 ... Strong proficiency in SQL and at least one scripting language (Python preferred) * Hands-on ...

New

Data Engineer (L5)

OR ยท On-site +1

$380K - $610K/yr

... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ... Java, Scala, Python) and comfortable working with SQL You enjoy helping teams push the boundaries ...

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing ... Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language ...

Senior Data Engineer

$105K - $150K/yr

Experience with ETL tool such as SSIS, Talend, DataFlow, or AWS Glue required. Experience building ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows.

Senior Data Engineer

$117K - $146K/yr

Develops data mapping and transformation workflows for loading into SQL Server client databases ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ... Technical : 5-8 years of experience in Data Engineering with expert proficiency in Python, SQL, and ...

Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ... Technical : 5-8 years of experience in Data Engineering with expert proficiency in Python, SQL, and ...

Data Engineer I, II

Portland, OR ยท On-site +1

$78K - $110K/yr

Experience with SQL Server and modern SQL-based cloud data warehouses, e.g. Snowflake, BigQuery ... A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work.

BI Data Engineer

Springfield, OR ยท On-site +1

$52.75 - $68.50/hr

Description Purpose The BI (Business Intelligence) Data Engineer will be responsible for designing ... Hands on experience with SQL and non-SQL databases like Oracle, SQLServer, or similar * Hands on ...

The Ideal Candidate You are a Data Engineer who approaches data engineering as a software ... Proficiency in Python and SQL, with a focus on clean, maintainable, and well-tested code.

$130K/yr

The Ideal Candidate You are a Data Engineer who approaches data engineering as a software ... Proficiency in Python and SQL, with a focus on clean, maintainable, and well-tested code.

$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 ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$125K - $165K/yr

Expert SQL abilities with mastery in complex data transformation patterns. * Deep expertise in data ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

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Remote Sql Data Engineer information

How does a Remote SQL Data Engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

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

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

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

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

What does a Remote SQL Data Engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.
What are the most commonly searched types of Sql Data Engineer jobs in Oregon? The most popular types of Sql Data Engineer jobs in Oregon are:
What job categories do people searching Remote Sql Data Engineer jobs in Oregon look for? The top searched job categories for Remote Sql Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Sql Data Engineer jobs? Cities in Oregon with the most Remote Sql Data Engineer job openings:
Sr. Data Engineer

Sr. Data Engineer

NinjaTrader

OR โ€ข On-site, Remote

$100K - $150K/yr

Other

Retirement, PTO

Posted 23 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