ZipRecruiter

Log In

1

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

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 ...

Socure

Senior Data Engineer

Seattle, WA · On-site

$120K - $163K/yr

The Senior Data Engineer will design and build scalable data platforms and pipelines to support ... Required : • 5+ years of hands-on data engineering experience, building and maintaining ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$125K/yr

Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer: Brillio is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you will get to ...

Socket.dev

Senior Data Scientist

Seattle, WA · On-site

$120 - $150/hr

Hands‑on Senior Data Scientist converting ambiguous scientific/business opportunities into ... Partner with AI, Data, App/Cloud, Frontend engineers, product owners, and domain experts to build ...

Bristol Myers Squibb

Senior Data Scientist

Seattle, WA · On-site

As a Senior Data Scientist within Bristol Myers Squibb's AI Venture Studio delivery team, you will ... You will partner with AI Engineers, Data Engineers, App/Cloud Engineers, Frontend Engineers ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10153284 Technology is at the heart of Disney's past ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica ...

TEKFORTUNE INC

Sr. Data/Cloud Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Sr. Data/Cloud Engineer will design, build, test, and deploy data ingestion connectors and ETL ... Required : • 5-8 years of hands-on experience in data engineering, cloud data platforms, and ETL ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer: Brillio is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you will get to ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10153287 Technology is at the heart of Disney's past ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica ...

GOAT Group

Senior Data Engineer

Seattle, WA · On-site

$128K - $160K/yr

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure ... Google Shopping, Meta, Tiktok, etc) Technical Requirements * 5+ years of engineering experience ...

CoreWeave

Senior Data Engineer

Seattle, WA · On-site

$182K - $242K/yr

The Data Engineering Team builds and operates the foundational data infrastructure powering ... About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets ...

previous pagenext page

Showing results 21-40

All JobsData Engineering JobsSenior Data Engineering JobsSenior Data Engineering Jobs in Seattle, WA

Senior Data Engineering information

See Seattle, WA salary details

$18

$64

$92

How much do senior data engineering jobs pay per hour?

As of Aug 18, 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 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 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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $134,481 per year, or $64.7 per hour.

Senior Data Engineer

The Trade Desk

Bellevue, WA • On-site

$119K - $161K/yr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising. They are seeking a Senior Data Engineer to build reliable, scalable, and well-governed enterprise data solutions, focusing on complex data pipelines and collaborations with various stakeholders.
Responsibilities:
• Own complex data pipelines end to end. Design, build, and operate scalable batch and near‑real‑time ETL/ELT pipelines using Snowflake, Databricks, Spark, and cloud storage.
• Drive data modeling and warehouse design. Define and implement dimensional models, data marts, and curated datasets that balance performance, usability, and governance.
• Raise data quality and reliability. Implement robust data quality checks, validations, monitoring, and alerting to ensure data accuracy, freshness, and trust.
• Collaborate deeply with stakeholders. Partner with product managers, BI teams, data scientists, and internal business teams to translate business needs into well‑designed data solutions.
• Lead design without owning architecture. Proactively propose technical improvements, review designs, and influence standards while aligning with broader platform and architectural direction.
• Mentor and raise the bar. Provide technical guidance through code reviews, pairing, and documentation; help mid‑level and junior engineers grow in ownership and quality.
• Operational excellence. Improve performance, scalability, cost efficiency, and observability of data systems; participate in on‑call and incident response as needed.
Qualifications:
Required:
• Bachelor's degree in computer science, information security, or a related field, or equivalent work experience.
• Masters degree preferred and 6-8+ years of professional experience in software or data engineering.
• Strong expertise in SQL and data modeling for analytics and reporting.
• Hands‑on experience with Snowflake and/or Databricks modern data warehouse concepts.
• Experience building and operating ETL/ELT pipelines using tools such as Airflow, Dagster, Glue, or similar.
• Proficiency in Python, Scala, Java, or similar languages.
• Familiarity with Spark–based data processing.
• Solid understanding of version control (Git) and CI/CD practices.
• Experience with data quality, observability, and operational support.
• Strong senior‑level engineer. You can independently deliver complex data solutions and make sound technical tradeoffs, even when requirements are incomplete.
• Pragmatic and detail‑oriented. You care deeply about correctness, reliability, and maintainability—not just shipping code.
• Collaborative and influential. You communicate clearly, build trust across teams, and influence outcomes without requiring formal authority.
• Continuously learning. You stay current on data engineering patterns, tooling, and best practices and apply them thoughtfully.
Preferred:
• Experience working at petabyte‑scale or high‑growth data environments.
• Familiarity with governance, security, and compliance (e.g., PII handling, access controls).
• Exposure to containerization (Docker, Kubernetes) or cloud infrastructure patterns.
• Experience in AdTech or analytics‑heavy domains.
• Comfort working with BI and reporting tools and understanding downstream consumption needs.
Company:
The Trade Desk is an online demand-side platform that provides buying tools for digital media buyers. Founded in 2009, the company is headquartered in Ventura, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply