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Remote Sql Data Engineer Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and ... Remote

NinjaTrader

Sr. Data Engineer

OR · 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 ...

Netflix

Data Engineer (L5)

OR · 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 ...

Verve

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and ... You are comfortable writing SQL and manipulating large structured or unstructured datasets for ...

AmeriSave Mortgage Corp.

$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.

Standard Metrics

Data Solutions Engineer

OR · On-site +1

$114K - $137K/yr

You'll need both the technical depth to architect and execute solutions across APIs, SQL, data ... Support internal engineering workflows as a secondary function by helping to triage and resolve ...

Amerilife Group, LLC

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

Engineer reusable enterprise data assets for business consumption. * Optimize large-scale ... Advanced SQL development skills. * Experience building enterprise-scale ETL/ELT pipelines.

Moda Health

Data Engineer I, II

Portland, OR · 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.

Weight Watchers

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build ... drive engineering velocity and platform stability. * Workflow Orchestration: Expertise in ...

Versapay

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Advanced proficiency in SQL and Python, with a strong foundation in applying software engineering ... Remote We are an equal opportunity employer and value diversity at our company. We do not ...

Netflix

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

... sql Expert at building performant data pipelines and optimizing existing workflows for new features Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc. Experience with ...

Instacart

Senior Data Engineer II, Finance

OR · On-site +1

$105K - $143K/yr

Expert with SQL and dbt (Data Build Tool). * Experience building high quality and complex ETL/ELT ... Experience with SOX controlled data systems. #LI-Remote

Wheelhouse

Senior Data Engineer

OR · 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.

Amerilife Group, LLC

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Mentor architects and engineers on enterprise architecture, data modeling, SQL optimization, and engineering best practices. * Evaluate emerging technologies and recommend future-state architecture ...

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ... SQL Queries: Develop and optimize SQL queries for data retrieval, transformation, and analysis.

Upstart

Software Engineer, Distribution Platform

OR · On-site +1

Experience with SQL, data warehouses, or other database technologies * Professional experience with ... Remote Travel requirements As a digital first company, the majority of your work can be ...

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Remote Sql Data Engineer information

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 key skills and qualifications needed to thrive as a remote SQL data engineer?

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.

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 most commonly searched types of Sql Data Engineer jobs in Oregon?

The most popular types of Sql Data Engineer jobs in Oregon are:

What are popular job titles related to Remote Sql Data Engineer jobs in Oregon?

For Remote Sql Data Engineer jobs in Oregon, the most frequently searched job titles 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:

Remote Sql Data Engineer jobs near you

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 17 hours ago

Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

#LI-SS1 #LI-Remote

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