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From Home Talend Data Integration Jobs in Renton, WA

Deloitte

Senior Manager Data Lead

Seattle, WA · On-site

Our healthcare professionals enable health care providers (from physicians to integrated delivery ... Data operations (ie: orchestration, monitoring, data quality, production support, and incident ...

Salesforce, Inc.

Data Cloud Success Architect

Seattle, WA

$72.50 - $93.25/hr

... integration architectures, and data governance best practices * Excellent communication skills, and ability to work collaboratively with cross-functional teams from Developer to Executive * Ability ...

Deloitte

Data Engineer II

Bellevue, WA · On-site

$129K - $155K/yr

Design robust ingestion patterns from source systems into S3 and into Snowflake. * Develop ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

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All JobsTalend Data Integration JobsFrom Home Talend Data Integration JobsFrom Home Talend Data Integration Jobs in Renton, WA

From Home Talend Data Integration information

See Renton, WA salary details

$66.9K

$146K

$206.4K

How much do from home talend data integration jobs pay per year?

As of Sep 2, 2026, the average yearly pay for from home talend data integration in Renton, WA is $146,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,600.00 and $169,800.00 per year, depending on experience, location, and employer.

What is the difference between From Home Talend Data Integration vs From Home Data Warehouse Developer?

AspectFrom Home Talend Data IntegrationFrom Home Data Warehouse Developer
Required SkillsTalend tools, ETL processes, SQL, data modelingData warehousing, ETL, SQL, data modeling, scripting
Work EnvironmentRemote, primarily using Talend software and cloud platformsRemote, focusing on designing and maintaining data warehouses
Industry UsageData integration projects across various industriesData storage and analysis in business intelligence

While both roles involve data handling and ETL processes, From Home Talend Data Integration focuses on using Talend tools for data integration tasks, whereas From Home Data Warehouse Developer emphasizes designing and managing data warehouses for analytics. The roles share skills like SQL and data modeling but differ in their primary focus and tools used.

What job categories do people searching From Home Talend Data Integration jobs in Renton, WA look for?

The top searched job categories for From Home Talend Data Integration jobs in Renton, WA are:

What cities near Renton, WA are hiring for From Home Talend Data Integration jobs?

Cities near Renton, WA with the most From Home Talend Data Integration job openings:

From Home Talend Data Integration jobs near you

Sr. Data Engineer with Unity Catalog

R2 Technologies Corporation

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 3 days ago

Job description

Overview:
Sr. Data Engineer with Unity Catalog
Sr. Data Engineer with Unity Catalog
Location - Seattle WA- 4 days office
Duration - 12 months
Core skills -
Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
Need to coordinate with Offshore
10-12+ years of experience in data engineering or a related field
Expertise with programming languages such as Python/PySpark, SQL, or Scala
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
. Hands-on experience with Databricks Cloud Data Platforms Required.
-Should have experience migrating to Unity Catalog.
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Required
Responsibilities -
Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files.
• Develop and support data pipelines within a Cloud Data Platform, such as Databricks
Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves
• Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization
• Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form.
Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.). . Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning
Automate CI/CD pipelines for data workflows using Azure DevOps
Skills:
Databricks Unity Catalog,Python/PySpark,Azure Data Factory

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