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Junior Etl Developer Jobs in Oregon (NOW HIRING)

phData

Sr. DevOps Engineer - Snowflake

OR · On-site +1

$129K - $166K/yr

Monitor and support production data jobs and pipelines (ETL/ELT), ensuring timely resolution of ... Mentor and coach junior DevOps engineers, fostering a culture of learning, feedback, and continuous ...

Perfict

MTO Data Governance Strategy Architect

Corvallis, OR · On-site

$66 - $85/hr

Responsibilities : • Mostly Oracle DB, both on prem and AWS • AWS. • ETL for data integration ... The architect should be proficient in programming languages such as Python and SQL for implementing ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions ... Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions ... Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions ... Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.

Clarity Recruiting

$160K/yr

Build and optimize ETL/ELT processes that ensure reliable, efficient, and timely delivery of business-critical data. Implement data engineering best practices across data modeling, quality, lineage ...

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Junior Etl Developer information

See Oregon salary details

$25.4K

$94.1K

$145.4K

How much do junior etl developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for junior etl developer in Oregon is $94,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $92,000.00 per year, depending on experience, location, and employer.

What is a junior ETL developer?

A Junior ETL Developer is responsible for designing, developing, and maintaining data extraction, transformation, and loading (ETL) processes. They assist in gathering requirements, writing ETL scripts, and optimizing data pipelines to support business intelligence and analytics. This role typically involves working with databases, ETL tools, and programming languages like SQL or Python. Junior ETL Developers collaborate with senior developers and analysts to ensure data accuracy and efficiency.

What are typical daily tasks for a junior ETL developer?

As a Junior ETL Developer, your daily responsibilities usually include designing and maintaining ETL processes to move and transform data from various sources into data warehouses or reporting systems. You might also troubleshoot data issues, write and optimize simple SQL queries, and assist senior developers with implementing new data integration solutions. Collaboration with business analysts and data engineers is common, as you work together to ensure data integrity and meet project requirements. Over time, you’ll gain more complex assignments and exposure to different data platforms, helping you grow your technical skills and advance in your data engineering career.

What are the key skills and qualifications needed to thrive in the junior ETL developer position?

To thrive as a Junior ETL Developer, you need a solid understanding of database concepts, SQL, data integration workflows, and a relevant degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or Microsoft SSIS, and basic scripting or programming skills, are commonly required, while certifications in specific ETL platforms are a plus. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborating with data analysts and business stakeholders. These skills ensure accurate and efficient data processing, supporting reliable business intelligence and analytics initiatives.

What are the most commonly searched types of Etl Developer jobs in Oregon?

The most popular types of Etl Developer jobs in Oregon are:

What are popular job titles related to Junior Etl Developer jobs in Oregon?

For Junior Etl Developer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Junior Etl Developer jobs in Oregon look for?

The top searched job categories for Junior Etl Developer jobs in Oregon are:

Junior Etl Developer jobs near you
Infographic showing various Junior Etl Developer job openings in Oregon as of August 2026, with employment types broken down into 81% Full Time, 8% Part Time, 10% Contract, and 1% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $94,073 per year, or $45.2 per hour.

Manager of Data Engineering & Delivery (Data Science Production Engineering)

Natera

OR • On-site, Remote

Full-time

Posted 12 days ago

Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

54th of 121 rated laboratories

Job description

This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing.  As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes.

PRIMARY RESPONSIBILITIES: Leadership
  • Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications.
  • Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements.
  • Measure, report, and maintain/improve operational effectiveness.
  • Train and coach team members on new technologies, procedures, and guidelines/best practices.
Technical
  • Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications
  • Translate DSPE's business needs and project requirements into technical specifications and implementation plans.
  • Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components.
  • Contribute to key development, testing, deployment, validation, maintenance, and update activities on data products and data systems/tools/components, as well as data delivery tasks.
Quality, Compliance, and Documentation
  • Improve and enforce operating procedures for compliance, quality, and efficiency.
  • Create training materials, and contribute to training activities, on DSPE Data Engineering & Delivery (DED) team owned data products and data systems.
Cross-Functional
  • Engage proactively and directly with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics.
  • Represent the Data Engineering & Delivery (DED) team in stakeholder meetings.
QUALIFICATIONS:
  • Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or other related fields. Doctorate degrees are a plus.
  • Minimal 5 years of relevant industry experience for candidates with a Master's Degree.  Minimal 2 years of relevant industry experience for candidates with a Doctorate degree.
  • Minimal 2 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
  • Minimal 2 years of management experience leading a Data Engineering team, a Data Production/Delivery team, or a Data Analytics team, with demonstrable evidence of leadership and team management skills.
KNOWLEDGE, SKILLS, AND ABILITIES:
  • Strong proficiency in SQL and Python programming languages. Proficiency in R is a plus.
  • Proficiency in data analysis and statistical techniques.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI, AWS QuickSight).
  • Strong SQL skills in developing robust and maintainable queries to extract and/or aggregate data from complex data sources.
  • Attention to detail and a commitment to data accuracy.
  • Proficiency in building data products, e.g., data aggregation, extraction, transformation, and QC. Past working experience in dbt is a plus.
  • Excellent problem-solving and critical-thinking abilities.
  • Working knowledge of genomics and bioinformatics workflows. Human genetics knowledge is a plus.
  • Proficiency in Git workflow and version control systems like GitHub and/or GitLab.
  • Working experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus.
  • Ability to work collaboratively in a cross-functional team environment.
  • Good documentation practices and coding style.
  • Strong verbal and written communication skills.
  • Strong interpersonal skills.
  • Strong integrity.

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