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Extract Transfer Load Developer Jobs in Everett, WA

The role involves extensive experience in data engineering, focusing on creating and maintaining data pipelines, ETL processes, and ensuring data quality for reporting purposes. Responsibilities ...

Sr. Data/Cloud Engineer

Seattle, WA ยท On-site

$130K - $156K/yr

The Sr. Data/Cloud Engineer will design, build, test, and deploy data ingestion connectors and ETL/ELT pipelines, playing a crucial role in delivering data sources to production. Responsibilities ...

The DevOps/Platform Engineer

Seattle, WA ยท On-site

$60 - $82.25/hr

They are seeking a DevOps/Platform Engineer to ensure the reliable deployment of ingestion and ETL pipelines through automated CI/CD processes, while managing infrastructure and optimizing costs.

Business Intelligence (BI) Engineer

Seattle, WA ยท On-site

$58 - $75.50/hr

Develop and optimize data models, ETL/ELT processes, and reporting architectures. * Build and ... Experience with CI/CD and DevOps practices. * Familiarity with Agile/Scrum methodologies. * Tableau ...

QA/Test Engineer

Seattle, WA ยท On-site

$47 - $64/hr

They are seeking a QA/Test Engineer responsible for building and executing comprehensive test strategies for data ingestion and ETL pipelines, ensuring high data quality before production promotion.

Lead Data Engineer

Bellevue, WA ยท On-site

$115K - $152K/yr

At least 5 years of ETL/ELT development using Python, PySpark, and SQL. * Experience with Terraform, Git, CI/CD pipelines, and Azure DevOps. * Demonstrated experience leading and mentoring data ...

QA/Test Engineer

Seattle, WA ยท On-site

$47 - $64/hr

The QA/Test Engineer will be responsible for building and executing comprehensive test strategies for ingestion and ETL pipelines, ensuring high data quality and integrating automated tests into the ...

Data Engineer, SPTC

Seattle, WA ยท On-site

$130K - $156K/yr

They will build efficient, flexible, extensible, and scalable data models, ETL designs and data ... You will partner closely with software engineers, product managers, and analytics teams to develop ...

Lead Data Engineer

Lynnwood, WA ยท On-site

$45 - $55/hr

At least 5 years of ETL/ELT development using Python, PySpark, and SQL. * Experience with Terraform, Git, CI/CD pipelines, and Azure DevOps. * Demonstrated experience leading and mentoring data ...

Company Description First IT Solutions Proficient in SAS/R Proficient knowledge of TSQL Proficient knowledge SSIS and ETL Knowledge of SSRS and SSAS Should be a developer proficient in TSQL, SSIS/ETL ...

Experience with design and implementation of ETL/ELT framework for complex warehouses/marts Hands-on development mentality, with a willingness to troubleshoot and solve complex problems Ability to ...

Company Description First IT Solutions Proficient in SAS/R Proficient knowledge of TSQL Proficient knowledge SSIS and ETL Knowledge of SSRS and SSAS Should be a developer proficient in TSQL, SSIS/ETL ...

Data Engineer

Redmond, WA ยท On-site

$128K - $154K/yr

Job Title: Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and ... Develop and optimize SQL queries, stored procedures, and ETL workflows for performance and ...

Showing results 41-60

Extract Transfer Load Developer information

See Everett, WA salary details

$18

$73

$112

How much do extract transfer load developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for extract transfer load developer in Everett, WA is $73.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $94.81 per hour, depending on experience, location, and employer.

What is the difference between Extract Transfer Load Developer vs Data Warehouse Developer?

AspectExtract Transfer Load DeveloperData Warehouse Developer
Primary FocusDesigning and developing ETL processes to move data from sources to data warehousesDesigning, developing, and maintaining data warehouse solutions, including schema design and data modeling
Skills & CertificationsETL tools (Informatica, Talend), SQL, data integrationSQL, data modeling, ETL, data warehousing concepts
Work EnvironmentData integration teams, BI projects, database environmentsData architecture teams, BI and analytics projects

While both roles involve working with data and ETL processes, the Extract Transfer Load Developer primarily focuses on building ETL pipelines to transfer data efficiently, whereas the Data Warehouse Developer concentrates on designing and implementing the overall data warehouse architecture. Both roles often collaborate but serve different aspects of data management and analytics projects.

What cities near Everett, WA are hiring for Extract Transfer Load Developer jobs?

Cities near Everett, WA with the most Extract Transfer Load Developer job openings:

Business Intelligence Engineer (BIE) / AWS Data Engineer

Redmond, WA โ€ข On-site

Inabia Solutions and Consulting, Inc.
IT Servicesย โ€ขย 11 - 50 employees

$57 - $74.25/hr

Contractor

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Job description

Overview
Inabia is seeking an experienced Business Intelligence Engineer (BIE) / AWS Data Engineer to design, build, and maintain automated AWS data pipelines that support analytics, KPI reporting, and business intelligence initiatives. This is a hands-on engineering role requiring deep experience with AWS data services, Python, SQL, ETL processes, and API integrations. The ideal candidate combines strong data engineering capabilities with sufficient business intelligence experience to understand how data will ultimately be consumed by business stakeholders.
Responsibilities
  • Design, build, and maintain scalable AWS data pipelines
  • Develop automated ETL/ELT processes using AWS services
  • Integrate data from multiple REST APIs, SaaS applications, and enterprise systems
  • Work with Amazon S3, AWS Glue, Redshift and/or Athena, Lambda, and IAM
  • Develop Python-based data ingestion, transformation, and automation processes
  • Write advanced SQL for data transformation, validation, modeling, and analysis
  • Build integrations with platforms such as Jira, Smartsheet, Qualtrics, or similar systems
  • Develop analytical datasets supporting operational reporting and business KPIs
  • Design and maintain dashboards using Tableau, Amazon QuickSight, Power BI, or similar BI tools
  • Partner with business and technical stakeholders to define KPIs, reporting requirements, and data definitions
  • Implement data quality, monitoring, security, and access-control practices
  • Apply data governance principles including IAM, security, access controls, and data-retention policies
  • Troubleshoot pipeline, API integration, performance, and data-quality issues
  • Document data sources, integrations, transformations, dependencies, and reporting logic

Key Qualifications
  • 5-8 years of Data Engineering, Business Intelligence Engineering, Analytics Engineering, or related experience
  • Strong hands-on AWS data engineering experience
  • Strong experience with Amazon S3 and AWS Glue/ETL
  • Experience with Amazon Redshift and/or Athena
  • Experience with AWS Lambda and IAM
  • Advanced SQL skills
  • Strong Python development skills for data engineering and automation
  • Proven experience building automated data pipelines
  • Hands-on experience integrating multiple REST APIs or SaaS applications
  • Experience working with REST APIs, JSON, authentication, pagination, error handling, and automated ingestion
  • Experience defining or supporting business KPIs and analytical datasets
  • Experience with Tableau, Amazon QuickSight, Power BI, or comparable BI/dashboard technology
  • Solid understanding of data governance, security, access controls, and retention requirements
  • Ability to work onsite in Redmond, WA, five days per week
  • Must be a U.S. Citizen or Green Card holder; sponsorship is not available

Preferred Qualifications
  • Direct API integration experience with Jira, Smartsheet, or Qualtrics
  • Experience with multiple BI platforms, including Tableau, QuickSight, or Power BI
  • Experience consolidating data from multiple enterprise systems into centralized analytical datasets
  • Experience working in large enterprise or consulting environments
  • Experience working directly with business stakeholders to translate reporting requirements into technical data solutions