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Etl Testing In Usa Jobs in Oregon (NOW HIRING)

Clarity Recruiting

$200K/yr

Establish engineering best practices for ETL/ELT development, data quality, lineage, metadata ... Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a ...

Attain Talent

Data Engineer (GovCon; Public Trust)

OR · On-site +1

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using ... Strong in modern cloud-based solution design * Comfortable balancing business needs with technical ...

Hunter Communications Inc

Software Engineer

Central Point, OR · On-site

$80K - $100K/yr

  • Retirement

  • PTO

Python - 3+ years experience - Worked in production codebase on customer-bearing infrastructure * Data / ETL Tools (Airflow / Great Expectations) - Practical experience moving and validating real ...

HUNTER COMMUNICATIONS

Software Engineer

Central Point, OR · On-site

  • Retirement

  • PTO

Python - 3+ years experience - Worked in production codebase on customer-bearing infrastructure * Data / ETL Tools (Airflow / Great Expectations) - Practical experience moving and validating real ...

Amerilife Group, LLC

Director, Data Engineering

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead migration of legacy ETL workloads to modern Databricks ELT architectures. * Design scalable ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

Upstart

Software Engineer, Lifecycle

OR · On-site +1

Experience supporting Marketing, Growth, or GTM teams, particularly in environments involving CDPs, customer segmentation, or campaign orchestration. * Experience with reverse ETL tools (e.g ...

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Etl Testing In Usa information

What are some common challenges faced by ETL testers in the USA, and how can they be effectively addressed?

ETL Testers in the USA often encounter challenges such as dealing with large and complex data sets, ensuring data quality and integrity during migration, and working with evolving data source formats. Collaborating closely with data engineers and business analysts is essential to clarify requirements and understand data flows. Utilizing robust test automation tools, maintaining detailed documentation, and staying updated with best practices in data security and compliance can help testers efficiently tackle these challenges and deliver reliable results.

What is ETL testing in the USA?

ETL Testing in the USA refers to the process of validating, verifying, and ensuring the accuracy of data as it moves through the Extract, Transform, Load (ETL) process in data warehousing projects. ETL testers check that data is properly extracted from source systems, transformed according to business rules, and loaded into target databases without loss or corruption. In the USA, this role often requires a strong understanding of SQL, data analysis, and familiarity with ETL tools like Informatica or Talend. ETL testers play a crucial role in guaranteeing data quality and integrity for organizations relying on large-scale data solutions.

What is the difference between Etl Testing In Usa vs Data Warehouse Tester?

AspectEtl Testing In UsaData Warehouse Tester
CertificationsETL testing certifications, ISTQBData warehousing certifications, ISTQB
Work EnvironmentPrimarily in data integration projects, often in banking, finance, healthcareFocus on data warehouse validation, in similar industries
Employer UsageUsed by companies implementing ETL processes for data migrationUsed by organizations maintaining data warehouses and BI systems

Both roles involve testing data systems, but Etl Testing In Usa focuses specifically on ETL processes, while Data Warehouse Tester covers broader data warehouse validation. They share similar skills and industry usage, often overlapping in data-focused organizations.

What are the key skills and qualifications needed to thrive as an ETL tester in the USA?

To thrive as an ETL Tester in the USA, you need a strong understanding of database concepts, SQL, data warehousing, and experience with ETL processes, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, along with test management and defect tracking systems, is typically required and relevant certifications can be beneficial. Attention to detail, analytical thinking, and effective communication are essential soft skills for identifying data issues and collaborating with development teams. These skills ensure accurate data validation, smooth data integration, and reliable business intelligence for organizational decision-making.

What job categories do people searching Etl Testing In Usa jobs in Oregon look for?

The top searched job categories for Etl Testing In Usa jobs in Oregon are:

Etl Testing In Usa jobs near you
Infographic showing various Etl Testing In Usa job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineering Manager

Clarity Recruiting

Hybrid

$200K/yr

Full-time

Posted 5 days ago

Job description

Job Description Our client, a rapidly growing wealth management and financial services firm, is seeking a Data Engineering Manager to lead the development and evolution of its enterprise data platform. This is a highly technical leadership role best suited for a hands-on engineering leader who enjoys mentoring teams while remaining deeply involved in architecture, coding, and solution design. The ideal candidate will bring extensive Python expertise, a strong background in modern data engineering, and experience building scalable data platforms that support analytics, reporting, and AI initiatives.

Key Responsibilities Lead, mentor, and develop a team of Data Engineers supporting enterprise reporting, analytics, AI, and data science initiatives. Design, build, and maintain scalable data pipelines, workflows, data models, and enterprise data architecture. Establish engineering best practices for ETL/ELT development, data quality, lineage, metadata management, documentation, and operational monitoring.

Drive sprint planning, backlog prioritization, and technical execution across multiple concurrent projects. Develop automated data quality frameworks, validation processes, monitoring, reconciliation, and alerting to ensure data accuracy and reliability. Partner closely with Analytics, Operations, and business stakeholders to translate business requirements into scalable data solutions.

Identify opportunities to improve platform performance, scalability, automation, and operational efficiency. Provide technical leadership through architecture reviews, code reviews, and engineering best practices while remaining an active contributor to development efforts. Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.

8-12+ years of experience in data engineering, analytics engineering, or enterprise data platform development. 3-5+ years of experience leading engineering teams or serving as a technical lead. Experience building enterprise data platforms supporting analytics, reporting, and business intelligence.

Background in financial services, consulting, or high-growth technology organizations is preferred. Excellent leadership, communication, problem-solving, and stakeholder management skills. Technical Skills Expert-level proficiency in Python (required); this role is highly hands-on and requires deep technical expertise.

Advanced experience with SQL and DBT. Strong expertise designing and maintaining scalable ETL/ELT pipelines and modern data architectures. Deep understanding of data modeling, transformation frameworks, metadata management, and enterprise data quality practices.

Experience implementing automated monitoring, validation, reconciliation, and operational tooling. Familiarity with cloud-based data platforms and modern analytics ecosystems. Compensation & Schedule Full-time Hybrid schedule (4 days onsite) Location: Austin, TX or Miami, FL Compensation up to $200,000, depending on experience Interview process includes two virtual interviews followed by a final onsite interview.

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