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Remote Sql Data Engineer Jobs in Oregon (NOW HIRING)

Data Engineer

OR ยท Remote

$114K - $137K/yr

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

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 ...

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 ...

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 - AI

$101K - $132K/yr

Create, maintain and execute basic to intermediate SQL scripts for data management and data ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

$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

$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 ...

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 ...

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 ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Principal Data Engineers establish the data foundation of Cotiviti's clinical AI platform-the ... Experience in implementing production data pipelines using SQL, Spark, and Python, with expertise ...

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 ...

The Engineer will develop and maintain dbt Core models and data workflows across the medallion ... SQL code and dbt Core transformation logic to ensure efficient, scalable, and maintainable data ...

Senior Data Engineer AI

$140K - $165K/yr

Create, maintain and execute complex SQL queries for data management and data validation ... remote #senior Employment Type: OTHER

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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?

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:

Data Engineer

Tebra

OR โ€ข Remote

$114K - $137K/yr

Other

Posted 10 days 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.

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