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

3B Staffing LLC

Senior Data Engineer

Seattle, WA · On-site

$120K - $164K/yr

Senior Data Engineer Our client is seeking a top-tier Senior Data Engineer to join their ... Required Skills - Data Engineering with Python & PySpark, Databricks, Containers, Cloud, Automated ...

3B Staffing LLC

Senior Data Engineer

Seattle, WA · On-site

$120K - $164K/yr

Senior Data Engineer Our client is seeking a top-tier Senior Data Engineer to join their ... Required Skills - Data Engineering with Python & PySpark, Databricks, Containers, Cloud, Automated ...

3B Staffing LLC

Databricks SME Data Engineer

Seattle, WA · Hybrid

$130K - $156K/yr

Perform Data engineering tasks on the databricks, snowflake and Azure (ADLS Gen 2, ADF, EntraID etc ... Collaborate and offer recommendations to Data Architect and Sr Data Engineer on data engineering ...

3B Staffing LLC

Databricks SME Data Engineer

Seattle, WA · Hybrid

$130K - $156K/yr

Perform Data engineering tasks on the databricks, snowflake and Azure (ADLS Gen 2, ADF, EntraID etc ... Collaborate and offer recommendations to Data Architect and Sr Data Engineer on data engineering ...

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 Walt Disney Company

Sr Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

You'll partner closely with the AI Core Engineering team to enable shared agents, registries, and developer tools with robust, reliable, real-time data. As a Senior Engineer, you will design and ...

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Senior Data Engineering information

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How much do senior data engineering jobs pay per hour?

As of Sep 7, 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 -- AWS & Databricks

Arkhya Tech. Inc.

Seattle, WA • On-site

$119K - $163K/yr

Other

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Hiring Senior Data Engineer — AWS & Databricks

Location: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC

Work Model: Hybrid — 1–2 days/week

Employment Type: Full-Time / Contract


Job Overview

We are seeking a Senior Data Engineer to design and deliver modern data platforms using AWS and Databricks. The role focuses on hands-on data engineering across ingestion, transformation, and warehousing for structured and unstructured data.


Key Responsibilities

  • Design and deliver end-to-end data engineering solutions across AWS and Databricks.
  • Build scalable data pipelines for structured and unstructured data.
  • Partner with architects and business stakeholders to translate requirements into production-ready solutions.
  • Establish standards for data quality, governance, reliability, and platform scalability.


Required Skills

  • Strong hands-on experience with AWS services across compute, storage, orchestration, and security.
  • Deep experience with Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration.
  • Strong experience across the data engineering lifecycle, including ingestion, transformation, and warehousing.
  • Experience working with both structured and unstructured data.

Preferred Skills

  • Exposure to Agentic AI concepts and frameworks.
  • Manufacturing industry experience.
  • Knowledge of data modeling, including dimensional and canonical modeling.

How to Apply:

Interested candidates can send their updated resume to ekta@arkhyatech.com.

Apply