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Sr Data Engineer Jobs in Redmond, WA (NOW HIRING)

Senior Data Engineer (AWS Databricks)

Seattle, WA ยท On-site

$119K - $163K/yr

Senior Data Engineer (AWS Databricks) Location: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC (Hybrid . 1-2 days/ week) ROLE OVERVIEW We are looking for a Senior Data Engineer to own the ...

Senior Data engineer

Bellevue, WA ยท On-site

$119K - $162K/yr

Senior Data Engineer Location: Bellevue, WA Roles & Responsibilities Digital Marketing; MSBI; Database Administration (DBMS); Cosmos; Digital : Big Data Platforms Key Responsibilities Own end to end ...

Sr Data Engineer

Seattle, WA

$130K - $156K/yr

Job Posting Title: Sr Data Engineer Req ID: 10143797 Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN ...

Sr Data Engineer

Seattle, WA ยท On-site

$120K - $163K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147075 Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of ...

Senior Data Engineer

Seattle, WA ยท On-site

$120K - $163K/yr

What this job involves As a Senior Data Engineer on the Data Consumption team, you will own the design and delivery of data contracts and Delta Sharing across JLL's Enterprise Data Platform, giving ...

Senior Data Engineer

Seattle, WA ยท On-site

$120K - $163K/yr

The Senior Data Engineer will design and build scalable data platforms and pipelines to support Socure's identity verification products and analytics. Responsibilities : โ€ข Design and build batch ...

Sr. Data engineer

Redmond, WA ยท On-site

$128K - $154K/yr

Syntricate Technologies is seeking a Senior Data Engineer to join their team. The role involves developing and designing solutions using various technologies, including C#, Azure DevOps, and Power BI ...

Job Posting Title: Sr Data Engineer Req ID: 10153284 Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of ...

Job Posting Title: Sr Data Engineer Req ID: 10153287 Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of ...

Senior Data Engineer

Seattle, WA ยท On-site

$120K - $163K/yr

We are seeking an experienced and motivated Senior Data Engineer to join our Data & Business Intelligence team. This key and critical role will report directly to our Vice President, Data & Business ...

Senior Data Engineer

Seattle, WA ยท On-site

$150 - $200/hr

We are seeking an experienced and motivated Senior Data Engineer to join our Data & Business Intelligence team. This key and critical role will report directly to our Vice President, Data & Business ...

Senior Data Engineer

Seattle, WA ยท On-site

$150 - $200/hr

We are seeking an experienced and motivated Senior Data Engineer to join our Data & Business Intelligence team. This key and critical role will report directly to our Vice President, Data & Business ...

Senior Data Engineer

Seattle, WA ยท On-site

$120K - $163K/yr

We are seeking an experienced and motivated Senior Data Engineer to join our Data & Business Intelligence team. This key and critical role will report directly to our Vice President, Data & Business ...

Senior Data Engineer

Bellevue, WA ยท On-site

$182K - $242K/yr

About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development ...

Senior Data Engineer

Seattle, WA ยท Hybrid

$135K - $173K/yr

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the organization's data repository and integration platforms, data flows (pipelines/integrations), and ...

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Sr Data Engineer information

See Redmond, WA salary details

$90.7K

$141.5K

$196K

How much do sr data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for sr data engineer in Redmond, WA is $141,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $161,300.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Redmond, WA?

For Sr Data Engineer jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in Redmond, WA look for?

The top searched job categories for Sr Data Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Sr Data Engineer jobs?

Cities near Redmond, WA with the most Sr Data Engineer job openings:

Infographic showing various Sr Data Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $141,481 per year, or $68 per hour.

Senior Data Engineer (AWS Databricks)

HMG America

Seattle, WA โ€ข On-site

$119K - $163K/yr

Other

Posted 12 days ago


Job description

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Senior Data Engineer (AWS Databricks) in Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC. Below is the detailed job description.

Title: Senior Data Engineer (AWS Databricks)

Location: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC (Hybrid . 1-2 days/ week)

Job Description:

ROLE OVERVIEW

We are looking for a Senior Data Engineer to own the design and delivery of modern data platforms built on AWS and Databricks. This role combines deep hands-on engineering, covering data ingestion, transformation, and warehousing across structured and unstructured sources.

KEY RESPONSIBILITIES

  • Deliver end-to-end data engineering solutions on AWS and Databricks, spanning ingestion, transformation, and warehousing layers.
  • Design scalable pipelines for structured and unstructured data, balancing reliability, performance, and cost efficiency.
  • Partner with architects and business stakeholders to translate requirements into robust, production-ready designs.
  • Establish and maintain standards for data quality, governance, and platform scalability.

WHAT WE'RE LOOKING FOR

MUST-HAVE SKILLS

AWS Services - Hands-on expertise across core AWS services spanning compute, storage, orchestration, and security in production environments.

Databricks Platform - Deep proficiency in Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration at scale.

Data Engineering Lifecycle - Proven ability to design and operate ingestion, transformation, and warehousing pipelines across structured and unstructured data.

GOOD-TO-HAVE SKILLS

Agentic AI Exposure - Working understanding of agentic AI concepts and frameworks, and how they apply within modern data platforms.

Manufacturing Industry Knowledge - Familiarity with manufacturing industry data landscapes, processes, and common use cases.

Data Modelling - Understanding of data modelling principles, including dimensional and canonical modelling approaches.