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Remote Data Integration Developer Jobs in Seattle, WA

Futran Tech Solutions Pvt. Ltd.

SDET

Seattle, WA · On-site +1

$57 - $73.50/hr

... Remote Contract About the Role: We are seeking a highly skilled SDET to join our Master Data ... integration, regression, and end-to-end testing Master Data Management Testing Validate data ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities • Design and implement ETL ... integration is a plus. • Strong understanding of data modeling, data governance, and security ...

IT Labs

Lead Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Develop robust integrations with enterprise applications, APIs, and external data providers ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

MacDonald-Miller Facility Solutions

Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

Our clients trust their toughest projects with our integrated teams, including: * New construction ... Building performance - Control systems, fault detection, energy services and remote monitoring

Impinj

Sr. Process Integration Engineer

Seattle, WA · On-site

$113K - $160K/yr

Analyze process, test, yield, and product performance data for existing products to discover and ... Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj ...

Impinj

Sr. Process Integration Engineer

Seattle, WA · On-site +1

$113K - $160K/yr

Analyze process, test, yield, and product performance data for existing products to discover and ... Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj ...

Ziply Fiber

Senior Data Engineer

Kirkland, WA · On-site +1

$114K - $154K/yr

This is a remote position. Position Title: Senior Data Engineer Base Salary: $114,700 to $154,200 ... integrating data from various sources including databases, APIs, and streaming platforms.

Ziply Fiber

Senior Data Engineer

Kirkland, WA · On-site +1

$114K - $154K/yr

This is a remote position. Position Title: Senior Data Engineer Base Salary: $114,700 to $154,200 ... integrating data from various sources including databases, APIs, and streaming platforms.

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... End-to-end integration mapping, PDO for ELT, and cloud source integration (AWS S3/Snowflake)

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Automate data ingestion and integration to reliably connect internal and external data sources.

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Automate data ingestion and integration to reliably connect internal and external data sources.

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All JobsRemote Data Integration Developer JobsRemote Data Integration Developer Jobs in Seattle, WA

Remote Data Integration Developer information

See Seattle, WA salary details

$11

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$95

How much do remote data integration developer jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for remote data integration developer in Seattle, WA is $58.82, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $66.20 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Integration Developer, and why are they important?

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

What are some common challenges Remote Data Integration Developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is a Remote Data Integration Developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.
Remote Data Integration Developer jobs near you

SDET

Futran Tech Solutions Pvt. Ltd.

Seattle, WA • On-site, Remote

$57 - $73.50/hr

Full-time

Posted 9 days ago

Job description

SDET
Location - Seattle, WA - Remote
Contract
About the Role:
We are seeking a highly skilled SDET to join our Master Data Management (MDM) team called PLIM.
The ideal candidate will have strong expertise in test automation using Python frameworks, experience in the retail domain, and a deep understanding of Java microservices architecture.
You will play a critical role in ensuring the quality, scalability, and performance of our MDM platform while driving automation excellence across the team.
Key Responsibilities:
Test Automation & Framework Development
Design, develop, and maintain robust Python-based test automation frameworks using pytest and Great Expectations
Build and enhance data validation frameworks for MDM pipelines ensuring data quality and integrity
Develop automated test suites for API, integration, regression, and end-to-end testing
Master Data Management Testing
Validate data accuracy, completeness, and consistency across MDM domains (Product, Customer, Vendor, Location)
Implement data quality checks and automated validation rules using Great Expectations
Test data ingestion, transformation, and synchronization processes across systems
Java Microservices Testing
Test and validate Java-based microservices architecture including REST APIs and event-driven systems
Collaborate with developers on unit testing, integration testing, and contract testing
Ensure seamless deployment and testing within CI/CD pipelines
Performance & Scale Testing
Design and execute performance and load testing strategies for high-volume retail data processing
Identify bottlenecks and work with engineering teams to optimize system performance
Ensure MDM platform handles peak retail loads (seasonal spikes, promotional events)
Collaboration & Quality Advocacy
Partner with development, data engineering, and product teams to embed quality throughout the SDLC
Participate in code reviews, design discussions, and architecture decisions
Mentor team members on test automation best practices and frameworks
Required Qualifications:
Overall Experience
5+ years in SDET or Test Automation role
Retail Domain
3+ years working in retail industry
Python Automation
3+ years hands-on experience
Java Microservices
2+ years testing experience
Technical Skills:
Automation & Frameworks
Strong proficiency in Python with expertise in pytest framework
Hands-on experience with Great Expectations for data quality validation
Experience with BDD frameworks (Behave, pytest-bdd) is a plus
Master Data Management
Understanding of MDM concepts, data governance, and data quality principles
Experience testing MDM platforms (Informatica MDM, Reltio, Stibo, or similar)
Knowledge of retail master data domains: Product, Customer, Vendor, Store/Location
Java & Microservices
Strong understanding of Java microservices architecture
Experience testing REST APIs using tools like Postman, REST Assured, or requests library
Familiarity with Spring Boot, Kafka, and event-driven architectures
Performance & Scalability
Experience with performance testing tools (JMeter, Locust, Gatling)
Understanding of scalability testing for high-volume data systems
Knowledge of monitoring tools (Grafana, Datadog, Splunk)
DevOps & CI/CD
Experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps)
Proficiency in Git version control
Familiarity with containerization (Docker, Kubernetes)
Databases & Data Technologies
Strong SQL skills for data validation and query optimization
Experience with databases: PostgreSQL, Oracle, SQL Server
Knowledge of cloud data platforms (AWS, Azure, GCP) is a plus
Preferred Qualifications:
Experience with retail MDM implementations (Product Information Management, Customer Data Platform)
Knowledge of data integration tools (Informatica, Talend, Apache NiFi)
Familiarity with GraphQL API testing
Experience with contract testing (Pact)
Understanding of data mesh or data lakehouse architectures
Cloud certifications (AWS, Azure) are a plus
Retail Domain Expertise
The ideal candidate should have experience with:
Tools & Technologies:
Python, Java, SQL
Test Frameworks
pytest, Great Expectations, JUnit, TestNG
API Testing
Postman, REST Assured, requests, httpx
Performance
JMeter, Locust, Gatling
CI/CD
Jenkins, GitLab CI, Azure DevOps
Containers
Docker, Kubernetes
Cloud
AWS, Azure, GCP
Databases:
PostgreSQL, Oracle, SQL Server, MongoDB
Messaging
Kafka, RabbitMQ
Monitoring
Grafana, Datadog, Splunk, ELK Stack

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