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Data Engineer Jobs in Bothell, WA (NOW HIRING)

eTeam

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Capgemini US LLC is seeking a mid-level Data Engineer & DBA to join their data platform team. The role involves building and maintaining scalable data pipelines, ensuring database reliability and ...

Zortech Solutions

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Skills required: * Cosmos SQL experience Azure Power BI * Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto ...

Weyerhauser Co

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on ...

Weyerhaeuser

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

They are seeking a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise, emphasizing reliable data pipelines and collaboration with ...

Weyerhaeuser Company

Data Engineer

Seattle, WA

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on ...

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark)

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Visa

Data Engineer

Foster City, CA · Hybrid

$133K - $160K/yr

As a Data Engineer on the GenAI Platforms team, you will help architect and scale the data infrastructure that powers enterprise AI systems at global scale. This is not a traditional data engineering ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis and strong knowledge of Data Warehousing Concepts

SAP

Data Engineer

Bellevue, WA

$129K - $155K/yr

What you'll do As a Data Engineer in Bellevue, you will join a new team dedicated to building and maintaining customer support related AI and agentic solutions that collaborate with thousands of SAP ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data Engineering team leading the development of new translational data infrastructure, integrations, and user ...

SAP

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

What you'll do As a Data Engineer in Bellevue, you will join a new team dedicated to building and maintaining customer support related AI and agentic solutions that collaborate with thousands of SAP ...

PitchBook Data

Sr. Data Engineer

Seattle, WA

$140K - $170K/yr

Stay updated with the latest data engineering technologies and trends and share your insights with the team * Support the vision and values of the company through role modeling and encouraging ...

CGI Inc.

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Data Engineer Category: Software Development/ Engineering Main location: United States, Washington, Seattle Position ID:J0426-0552 Employment Type: Full Time Position Description: CGI Federal is ...

SAP SuccessFactors

Data Engineer

Bellevue, WA

$128K - $154K/yr

What you'll do As a Data Engineer in Bellevue, you will join a new team dedicated to building and maintaining customer support related AI and agentic solutions that collaborate with thousands of SAP ...

Apple

Software Data Engineer

Seattle, WA

$139K - $258K/yr

We are looking for a Software Data Engineer to join our team and contribute to building modern data platform capabilities. In this role, you will work on systems that enable data engineers across ...

Deloitte

Databricks Data Engineer

Seattle, WA

$130K - $156K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Georgia IT Inc

Azure Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Azure Data Engineer Location: Seattle, WA (5 days WFO) Pay Rate: DOE Mandatory Skill Sets: * Strong experience in Data Engineering, Python, Snowflake, SQL, Azure * Hands-on expertise with ETL/data ...

Georgia IT Inc

Azure Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

zure Data Engineer Location: Redmond area / if remote, should work in PST time zone and IST overlapping Duration: Contract Description: * Expertise with Azure data services, such as Microsoft Fabric ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Bothell, WA

Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do data engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Bothell, WA? The most popular types of Data Engineer jobs in Bothell, WA are:
What are popular job titles related to Data Engineer jobs in Bothell, WA? For Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Bothell, WA look for? The top searched job categories for Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Engineer jobs? Cities near Bothell, WA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Bothell, WA as of June 2026, with employment types broken down into 20% Full Time, and 80% Contract. Highlights an 100% In-person job distribution, with an average salary of $145,008 per year, or $69.7 per hour.
Data Engineer

Data Engineer

eTeam

Bellevue, WA • On-site

$128K - $154K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Capgemini US LLC is seeking a mid-level Data Engineer & DBA to join their data platform team. The role involves building and maintaining scalable data pipelines, ensuring database reliability and performance, and collaborating with various teams to deliver clean and timely data.
Responsibilities:
• Design, build and maintain ETL/ELT pipelines across multiple systems
• Design and optimize data models in PostgreSQL, MongoDB, and Amazon Redshift
• Develop and manage data workflows using AWS (S3, Glue, Lambda, Step Functions, Kinesis)
• Administer and maintain database environments across development, staging, and production
• Monitor data pipelines and databases, troubleshoot issues, and implement alerts
• Optimize query performance, indexes, and configurations across relational and NoSQL systems
• Manage database provisioning, upgrades, backups, and disaster recovery (RDS, MongoDB, Redshift)
• Ensure database security, including access control, encryption, and role management
• Plan capacity and scale systems to support growing data needs
• Define and enforce data retention and archival policies
• Collaborate with analytics and product teams to support reporting and data needs
• Document data pipelines, database processes, and operational procedures
• Participate in code reviews and follow engineering best practices
Qualifications:
Required:
• 3–5 years of experience in data engineering, database administration, or similar roles
• Strong experience with PostgreSQL, MongoDB, and Amazon Redshift
• Solid SQL skills for both transactional and analytical workloads
• Experience with AWS data and database services (S3, Glue, Lambda, RDS, Redshift, etc.)
• Proficiency in Python or another scripting language
• Experience with workflow orchestration tools (Airflow, Step Functions, etc.)
• Hands-on database administration experience, including: MongoDB (replica sets, sharding, indexing, backups), Redshift (cluster management, query tuning, WLM, snapshots), PostgreSQL (replication, performance tuning, connection pooling)
• Familiarity with monitoring tools (CloudWatch, pgBadger, MongoDB Atlas, etc.)
• Understanding of database security (encryption, auditing, least-privilege access)
• Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent experience.
Preferred:
• Experience with Kafka or Kinesis (streaming data)
• Familiarity with dbt for data transformation
• Knowledge of data lake/lakehouse architectures (Delta Lake, AWS Lake Formation)
• Experience with Terraform or CloudFormation
• CI/CD experience for data pipelines
• Basic DevOps skills
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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