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Data Jobs in Kent, WA (NOW HIRING)

Apple Inc.

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

  • Medical

  • Dental

  • Retirement

The AIML Data Operations group engages with teams across Apple's ecosystem with the ultimate goal of delivering high‑quality annotated data in support of unreleased products and groundbreaking AI ...

TerraPower LLC.

Data Architect

Bellevue, WA · On-site

$72 - $92.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Architect TerraPower is searching for an experienced Data Architect to lead the design, governance, and standards of our enterprise data ecosystem. Our organization continues to add applications ...

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Showing results 21-40

All JobsData JobsData Jobs in Kent, WA

Data information

See Kent, WA salary details

$51.9K

$186.3K

$274.9K

How much do data jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data in Kent, WA is $186,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,700.00 and $191,900.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

What are the most commonly searched types of Data jobs in Kent, WA?

The most popular types of Data jobs in Kent, WA are:

What job categories do people searching Data jobs in Kent, WA look for?

The top searched job categories for Data jobs in Kent, WA are:

What cities near Kent, WA are hiring for Data jobs?

Cities near Kent, WA with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Kent, 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 $186,287 per year, or $89.6 per hour.

Data Bricks Data Engineer

Tata Consultancy Service Limited

Seattle, WA • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Must Have Technical/Functional Skills
• Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code.
• Develop , Test , Deploy ,Optimize, and monitor large-scale data processing workloads in Azure Data Bricks ETL.
• Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
• Strong programming skills in Python and PySpark.
• Advanced proficiency writing SQL for analytics and ETL processes.
• Proven experience building and optimizing complex data pipelines in Azure.
• Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.
• Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, service principals, and managed identities.
• Experience with container services (ACA, container instances) and containerized data workloads.
• Familiarity with Azure networking concepts and secure network integration for data platforms.
• Experience creating Azure infrastructure using ARM templates.
• Proficient with GitLab and Azure DevOps for CI/CD and source control workflows.
• Strong analytical, problem-solving, and communication skills; proven ability to work cross-functionally.
• Experience working in Agile teams and understanding of data governance frameworks.
• Hands-on experience provisioning Databricks resources with Terraform; ability to author and maintain Terraform templates and modules.
• Demonstrated experience implementing cluster autoscaling and autoscaling policies through Terraform.
• Experience creating reusable Terraform modules and implementing infrastructure-as-code best practices (module structure, state management, remote backends).
• Proven experience working on Databricks platform operations, including cluster configuration, job orchestration, and platform optimization.
• Experience configuring high-availability Databricks deployments and operating across multiple availability zones/regions.
• Familiarity with Metastore/Unity Catalog configuration and metadata governance in Databricks.
• Hands-on experience building data pipelines and ingestion workflows into medallion-layer architectures (bronze/silver/gold).
• Strong scripting skills (Python, Bash, or similar) and familiarity with CI/CD for Terraform and Databricks deployments.
• Strong troubleshooting, performance tuning, and cost optimization skills.
Responsibilities
• Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
• Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
• Implement, optimize, and monitor large-scale data processing workloads in Azure Databricks, including cluster configuration, autoscaling, and governance.
• Build and maintain data integration and orchestration solutions using Azure services to meet performance, availability, and security requirements.
• Collaborate with data consumers, thread authors/owners, and stakeholders to gather business requirements, prioritize needs, and translate analytical objectives into technical designs.
• Implement secure data access patterns using Azure Active Directory, Managed Identities, and service principals.
• Author Infrastructure-as-Code for Azure resources (ARM templates) and deploy consistent, repeatable environments.
• Configure and operate Azure components including Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, Azure Container Apps / container instances, and related services.
• Collaborate with networking and security teams to design and implement Azure networking for data solutions.
• Implement monitoring, alerting, and cost optimization for data workloads (Log Analytics, metrics, and dashboards).
• Use GitLab and Azure DevOps for source control, CI/CD pipelines, and release management.
• Follow Agile/Scrum practices and participate in sprint planning, standups, and retrospectives.
• Ensure solutions meet data governance, lineage, and compliance requirements.
• Operations Support and Oncall Support for Production Issues and Deployments.
Base Salary Range : $120,000 to $140,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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