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Remote Data Integration Developer Jobs in Everett, WA

Seattle WA 98108 Duration: 12 months (can extend) Open to strong remote candidates. Role: MDM ... in integrating MDM platforms with AWS native services, building automated data pipelines, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

New

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

New

This is a remote position (Washington candidates preferred). What You'll Do * Conduct market and ... engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and ...

This is a remote position (Washington candidates preferred). **We are not interested in working ... engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and ...

This approach delivers industry-leading accurate and reliable IP intelligence, strengthened by billions of weekly lookups and a team of remote data engineers and researchers. The data supports some ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Experience analyzing business problems, data integrations, and processes to identify and resolve ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Showing results 41-60

Remote Data Integration Developer information

See Everett, WA salary details

$11

$57

$92

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

As of Sep 15, 2026, the average hourly pay for remote data integration developer in Everett, WA is $57.09, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $64.28 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote data integration developer?

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 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 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 cities near Everett, WA are hiring for Remote Data Integration Developer jobs?

Cities near Everett, WA with the most Remote Data Integration Developer job openings:

MDM Developer -Reltio

Seattle, WA • Remote

Contractor

Posted 25 days ago


Job description

MDM Developer -Reltio

Location: Seattle WA 98108

Duration: 12 months (can extend)

Open to strong remote candidates.

Role: MDM Developer -Reltio

Must Have Skills:

We are seeking a highly skilled Senior Data Management Engineer with a strong background in Master Data Management (MDM) and hands-on experience implementing solutions within the Amazon Web Services (AWS) cloud ecosystem. In this role, you will design, develop, and implement MDM solutions to create a single source of truth (Golden Record) for Customer, Product, or Vendor domains. You will be a key contributor in integrating MDM platforms with AWS native services, building automated data pipelines, and ensuring data quality across the enterprise.

Key Responsibilities:

• MDM Solution Implementation: Lead the end-to-end design, configuration, and implementation of MDM platforms (e.g., Reltio).

AWS Cloud Integration: Architect and maintain integrations between MDM systems and AWS services (S3, Lambda, Glue, Redshift, Dynamo, MSK/Kinesis) to ensure scalable data ingestion and distribution.

Data Modeling & Quality: Design master data models, define match/merge rules, survivorship, and data quality checks.

Data Pipeline Engineering: Build and optimize ETL/ELT pipelines to transform source data into MDM-ready structures.

Collaboration: Work with data stewards, business analysts, and architects to translate business requirements into technical MDM solutions.

Informatica MDM knowledge or experience is preferred and will be considered an added advantage

Qualifications:

• Technical Skills:

• Reltio MDM: Hands-on experience with Reltio MDM • AWS Services: Hands-on experience with AWS services / cloud • Programming: Proficiency in Python; SQL for data manipulation and transformation.

• Data Wrangling: Experience with data preparation, feature engineering, and data transformation.

• Problem Solving: Strong analytical and problem-solving skills, with a focus on translating business questions into data science problems.

• Communication: Ability to communicate complex results clearly to both technical and non-technical stakeholders.

Experience: 10+ years of experience in Master Data Management (MDM) implementations, with at least 2-3 years hands-on experience in a cloud-native environment.

MDM Tools: Strong experience with industry-leading MDM tools (e.g., Reltio).

AWS Proficiency: Proven hands-on experience with AWS services including S3, Lambda, Glue, Redshift, IAM, and API Gateway.

Programming/Scripting: Proficiency in Python and advanced SQL for data manipulation and automation.

Data Governance: Solid understanding of data stewardship, data lineage, and data quality principles.

Data Modeling: Experience in relational database modeling and JSON/XML data formats.

Methodologies: Experience working within Agile/Scrum teams.

Preferred Qualifications:

AWS Certification (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect) is plus.

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field