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Part Time Etl Developer Jobs in Oregon (NOW HIRING)

$63.75 - $82/hr

Data warehousing solutions (Snowflake, Redshift) * ETL/ELT tools (Informatica, Talend, Azure Data ... Part time

Perform periodontal and dental implant surgery including the extraction of teeth as necessary ... Daily compensation depends on surgical case load and schedule availability. $3000+ plus per

New

Airport Ramp Agent - RDM - PT

Redmond, OR · On-site

$16.50 - $20.25/hr

M. shift Part Time Days Days of the weekShiftShift Start TimeMonday, Tuesday, Wednesday, Thursday ... Lifts, loads/unloads, sorts and transfers passenger baggage, airmail, freight and company material ...

M. shift Part Time Days Days of the weekShiftShift Start TimeMonday, Tuesday, Wednesday, Thursday ... Lifts, loads/unloads, sorts and transfers passenger baggage, airmail, freight and company material ...

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Part Time Etl Developer information

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How much do part time etl developer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for part time etl developer in Oregon is $60.66, according to ZipRecruiter salary data. Most workers in this role earn between $51.83 and $67.84 per hour, depending on experience, location, and employer.

What is a Part Time ETL Developer job?

A Part Time ETL Developer is responsible for designing, developing, and maintaining ETL (Extract, Transform, Load) processes to support data integration and analytics. They work with databases, data warehouses, and ETL tools to ensure efficient data flow and transformation while optimizing performance. This role is typically suited for professionals who want flexible working hours while contributing to data-related projects. Part-time ETL developers may work remotely or on-site, depending on the employer’s needs.

What are the typical work expectations and daily tasks for a Part Time ETL Developer?

As a Part Time ETL Developer, you will typically work on designing, developing, and maintaining ETL processes that move and transform data between systems, often within a set number of weekly hours. Your daily tasks may include writing SQL queries, troubleshooting data quality issues, collaborating with business analysts or data engineers, and ensuring data pipelines run smoothly. Workloads can vary depending on project needs, but communication and efficient time management are key as you may be balancing multiple requests. You may also participate in team meetings and provide status updates, making your ability to prioritize and deliver results on a part-time schedule especially important.

What are the key skills and qualifications needed to thrive in the Part Time Etl Developer position, and why are they important?

To thrive as a Part Time ETL Developer, you need a strong understanding of data integration, SQL, and database systems, often backed by a degree in computer science or a related field. Experience with ETL tools like Informatica, Talend, or Microsoft SSIS, and familiarity with cloud platforms or database certifications, is highly valuable. Strong problem-solving, attention to detail, and effective communication help you manage complex data flows and work closely with stakeholders. These skills ensure accurate data processing, smooth collaboration, and the timely delivery of data solutions in a part-time capacity.

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 Part Time Etl Developer jobs in Oregon? For Part Time Etl Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Part Time Etl Developer jobs in Oregon look for? The top searched job categories for Part Time Etl Developer jobs in Oregon are:
What cities in Oregon are hiring for Part Time Etl Developer jobs? Cities in Oregon with the most Part Time Etl Developer job openings:
Infographic showing various Part Time Etl Developer job openings in Oregon as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $126,182 per year, or $60.7 per hour.
Systems Engineer - AI Research Systems Support

Systems Engineer - AI Research Systems Support

Aptive

On-site, Remote

Part-time

Posted 8 days ago


Aptive Environmental rating

5.3

Company rating: 5.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

29th of 31 rated pest control companies


Job description

Job Summary

Aptive Resources is seeking a Systems Engineer to support artificial intelligence (AI), research systems, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on improving research operations, streamlining organizational workflows, supporting strategic AI pilots, and enabling scalable AI capabilities across research, policy, infrastructure, and operational environments.

The Systems Engineer will support development, integration, and optimization of AI-enabled workflows, cloud-based solutions, and research technology initiatives. This role will work closely with project managers, data analysts, operational stakeholders, and technical teams to support rapid testing, workflow improvements, system integrations, and AI-related operational support activities across ORD initiatives.

The ideal candidate will have experience supporting modern data and application environments, technical integrations, cloud-based systems, and AI-enabled workflows in healthcare, research, or enterprise operational environments.

This is a full-time (40 hours/week), 100% remote position. 

It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs.

Primary Responsibilities
  • Support development and implementation of AI-enabled operational and research support solutions across ORD initiatives.
  • Assist with integration, optimization, and maintenance of data systems, workflows, and cloud-based platforms supporting AI and analytics activities.
  • Support development and testing of retrieval-augmented generation (RAG) workflows and related AI-enabled tools.
  • Assist with development of simplified workflows, rapid testing approaches, and deployment activities to improve operational efficiency and development speed.
  • Support data ingestion, ETL processes, database integration, and data pipeline activities across enterprise environments.
  • Assist with development and maintenance of integrations supporting research operations, analytics, reporting, and AI-enabled tools.
  • Coordinate with technical and operational stakeholders to support AI pilot initiatives and enterprise operational priorities.
  • Support activities related to centralized AI assets, research infrastructure, and enterprise data environments.
  • Participate in troubleshooting, issue resolution, and continuous improvement activities across technical workstreams.
  • Prepare technical documentation, workflow documentation, and implementation support materials.
Minimum Qualifications
  • Bachelor's degree in information systems, computer science, engineering, data science, healthcare informatics, or a related technical field.
  • 4+ years of experience supporting systems engineering, software integration, cloud solutions, data systems, or technical implementation activities in a complex organization.
  • Experience supporting cloud-based environments, databases, data pipelines, or enterprise data activities.
  • Experience with SQL, Python, ETL processes, APIs, or systems integration activities.
  • Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled workflow solutions.
  • Experience supporting rapid development, testing, or deployment activities in technical environments.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to communicate effectively with both technical and non-technical stakeholders.
  • Proficiency with Microsoft Office Suite and collaboration platforms.
  • Ability to work independently in a remote environment while managing multiple priorities.
  • Ability to obtain and maintain a public trust clearance.
  • Legal authorization to work in the United States.
Desired Qualifications
  • Experience supporting federal, VA, healthcare, research, or enterprise AI environments.
  • Experience supporting AI-enabled search, retrieval workflows, or RAG-based solutions.
  • Familiarity with cloud platforms such as Azure or AWS.
  • Experience supporting workflow automation, operational modernization, or technical integration initiatives.
  • Experience supporting REDCap, research databases, or healthcare data environments.
  • Familiarity with data lake, data warehouse, or enterprise analytics environments.
  • Experience working in fast-paced, matrixed environments supporting multiple concurrent technical initiatives.
  • High degree of professionalism, discretion, and mature judgment in handling sensitive information.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.

We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.

Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: PART_TIME

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