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Databricks Engineer Jobs in Bothell, WA (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Seattle, WA

$130K - $156K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical ... Databricks Repos is the source control and workflow foundation that powers how data engineers, ML ...

Databricks

Senior Software Engineer - Backend

Bellevue, WA · On-site +1

$138K - $182K/yr

P-939 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148K - $204K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Partner with world-class engineering and research teams to transform cutting-edge AI advancements ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148K - $204K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Partner with world-class engineering and research teams to transform cutting-edge AI advancements ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA

$144K - $190K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Partner with world-class engineering and research teams to transform cutting-edge AI advancements ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Bothell, WA

Databricks Engineer information

See Bothell, WA salary details

$67.4K

$126.5K

$230K

How much do databricks engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for databricks engineer in Bothell, WA is $126,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $150,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Bothell, WA? For Databricks Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Bothell, WA look for? The top searched job categories for Databricks Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Databricks Engineer jobs? Cities near Bothell, WA with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Bothell, WA as of June 2026, with employment types broken down into 60% Full Time, 32% Part Time, and 8% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $126,461 per year, or $60.8 per hour.
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

Seattle, WA

$130K - $156K/yr

Other

Posted 11 days ago

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services

Job description

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Senior Consultant - Databricks Engineer on the AI & Data team, you will be responsible for:

Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.

Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.

Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability.

Team and Technology Lead: Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery.

Data Governance: Consult on, design, and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems.

Communication: Communicate technical concepts and business value to diverse stakeholders, including executives, business leads, and technology teams.

DevOps and Automation: Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments and operations.

Ability to provide clear guidance to others

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team

Effective written and verbal communication skills

Meticulous attention to detail and quality of work product

Ability to build and sustain professional relationships

Ability to lead projects or workstreams

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

Strong interpersonal skills and professional demeanor

Ability to meet deadlines

The team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

Bachelor's degree in Computer Science, Engineering, or a related field

5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms

Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark

1+ year leading complex, cross-functional data projects and technical teams, including experience with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.


Preferred:

Master's degree in Computer Science, Engineering, or a related field

Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services

Experience tuning and optimizing performance in Databricks and Apache Spark environments

Experience with Databricks Lakeflow

Experience with artificial intelligence and machine learning solutions


The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,500 to $193,600.


You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyC...


Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.


Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Qualifications:

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Senior Consultant - Databricks Engineer on the AI & Data team, you will be responsible for:

Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.

Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.

Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability.

Team and Technology Lead: Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery.

Data Governance: Consult on, design, and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems.

Communication: Communicate technical concepts and business value to diverse stakeholders, including executives, business leads, and technology teams.

DevOps and Automation: Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments and operations.

Ability to provide clear guidance to others

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team

Effective written and verbal communication skills

Meticulous attention to detail and quality of work product

Ability to build and sustain professional relationships

Ability to lead projects or workstreams

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

Strong interpersonal skills and professional demeanor

Ability to meet deadlines

The team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

Bachelor's degree in Computer Science, Engineering, or a related field

5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms

Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark

1+ year leading complex, cross-functional data projects and technical teams, including experience with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.


Preferred:

Master's degree in Computer Science, Engineering, or a related field

Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services

Experience tuning and optimizing performance in Databricks and Apache Spark environments

Experience with Databricks Lakeflow

Experience with artificial intelligence and machine learning solutions


The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,500 to $193,600.


You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyC...


Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.


Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Education:Bachelor's DegreeEmployment Type:

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