ZipRecruiter

Log In

1

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

Brillio

Lead Data Engineer - R01568940

Seattle, WA

$130K - $156K/yr

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 live on the front edge of modern ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

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 live on the front edge of modern ...

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical ...

Amazon

Data Engineer, Partner Experience

Seattle, WA

$130K - $156K/yr

The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical ...

previous page

Showing results 41-60

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Bothell, WA

Sr Data Engineer information

See Bothell, WA salary details

$92.1K

$143.6K

$198.9K

How much do sr data engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for sr data engineer in Bothell, WA is $143,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $163,700.00 per year, depending on experience, location, and employer.

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 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.

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 Sr Data Engineers?

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.
What are popular job titles related to Sr Data Engineer jobs in Bothell, WA? For Sr Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in Bothell, WA look for? The top searched job categories for Sr Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Sr Data Engineer jobs? Cities near Bothell, WA with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Bothell, WA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,110 per year, or $68.8 per hour.

Lead Data Engineer - R01568940

Brillio

Seattle, WA

$130K - $156K/yr

Full-time

Posted 12 days ago

Job description

About Brillio:


Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio\'s relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.


Lead Data Engineer

\\n


Primary Skills
  • AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions


Specialization
  • 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 live on the front edge of modern technology by building on things like Databricks, Azure Synapse Analytics and Azure Data Explorer while building ETLs and process in Databricks and Data Factory. You will help build state of the art pipelines and data models that are at the heart of the studio decision-making process. You will be working on large-scale lakehouse and warehouse analytics systems that process data feeds in real-time and batch processes. Your customers will be the business, design, test and development teams and they will look to you to help shape how we capture data to improve our test-driven methodologies and build a culture around data driven development.

    The successful candidate will bring an attention to detail along with modern engineering practices and help us build and support a high quality, modern data architecture at scale.  

    Qualifications:

    • 5+ years’ experience with SQL required.

    • 5+ years’ experience designing and implementing scalable ETL processes including data movement and quality tools.

    • 3+ years’ experience with modern Big Data Analytics using Data Lake, Spark and formats like Parquet.

    • 2+ years’ experience building cloud hosted data systems. Azure highly preferred.

    Preferred:

    ·         Building data pipelines in Azure Databricks/Fabric/Spark.

    ·         Working with data in delta lake format and from Azure Data Explorer/Kusto

    ·         Applying AI/ML to data engineering use cases (feature engineering, feature stores, model training/serving datasets, and model monitoring data pipelines).

    ·         Experience preparing and governing datasets for modern AI applications (LLM/RAG, experimentation/A-B testing, and privacy-aware data access).


\\n$120 - $125 a year\\n

Know what it’s like to work and grow at Brillio: Click here

Apply