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Senior Data Engineering Jobs in Seattle, WA (NOW HIRING)

Lionbridge

Senior Data Architect

Redmond, WA · On-site

$75.25 - $100.75/hr

Senior Data Architect As Senior Data Architect, you will be responsible for defining and driving ... Partner with data engineers to guide the implementation of data pipelines, ensuring designs support ...

New

Accenture

Google Senior Data Engineer

Seattle, WA · On-site

$94K - $266K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

New

Accenture

Google Senior Data Engineer

Kirkland, WA · On-site

$94K - $266K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

New

Accenture

Google Senior Data Engineer

Redmond, WA · On-site

$94K - $266K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

New

Elevance Health

Senior Data Engineer

Seattle, WA · Hybrid

$120K - $163K/yr

Leads the architecture, engineering, and ongoing operation of the security data lake and associated data products supporting multiple security technologies and data sources. Establishes the technical ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities * Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.

The Trade Desk

Senior Data Engineer

Bellevue, WA · On-site

$119K - $161K/yr

They are seeking a Senior Data Engineer to build reliable, scalable, and well-governed enterprise ... You stay current on data engineering patterns, tooling, and best practices and apply them ...

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Senior Data Engineering information

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How much do senior data engineering jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for senior data engineering in Seattle, WA is $64.65, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $76.59 per hour, depending on experience, location, and employer.

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

What are the most commonly searched types of Data Engineering jobs in Seattle, WA?

The most popular types of Data Engineering jobs in Seattle, WA are:

What are popular job titles related to Senior Data Engineering jobs in Seattle, WA?

For Senior Data Engineering jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineering jobs in Seattle, WA look for?

The top searched job categories for Senior Data Engineering jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Senior Data Engineering jobs?

Cities near Seattle, WA with the most Senior Data Engineering job openings:

Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $134,481 per year, or $64.7 per hour.

Sr. Data Engineer with Unity Catalog

R2 Technologies Corporation

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 13 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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