Redmond, WA

Data Jobs in Redmond, WA

28 jobs found

Include remote jobs

Today

AI Data Engineer

Experis Redmond, WA

Redmond, WA

Today

$37 - $40/hr Full time Artificial Intelligence Azure Data Engineer Data

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Job Description

Experis is hiring a Data Analyst 1 (AI Data Engineer) to support Applied Sciences teams in Redmond, WA on a 100% onsite basis. In this role, you will help keep OCR processing running smoothly, strengthen data quality for AI training readiness, and maintain clean, well-organized datasets that downstream teams can rely on.

What you’ll do

Monitor existing OCR pipeline processing, tracking processing queues, job status, completion rates, and any failed or stalled batches.
Review generated OCR outputs against source documents using sampling and established quality criteria.
Maintain accurate dataset metadata, inventories, and dataset versioning so datasets stay complete and organized for AI model training.
Coordinate Azure file operations, including uploads, downloads, and transfers of source files and generated datasets, verifying completion, file counts, and integrity.
Support reprocessing operations by documenting issues, escalating technical risks to engineers, and maintaining operational trackers and dashboards.

What you bring

B.S. degree plus 2+ years of hands-on experience in data analysis, data operations, data quality assurance, or dataset management.
Hands-on experience working with cloud storage, including file organization and uploads/downloads.
Experience evaluating data completeness, accuracy, consistency, and metadata quality.
Ability to use existing dashboards, processing tools, and logs to monitor workflows and investigate exceptions.
Familiarity with common document and data formats such as PDF, text, CSV, and JSON.

Tech stack

Azure
PDF
CSV
JSON

Schedule and pay

This is a Monday to Friday schedule with 40 hours/week and no estimated overtime. Rate is USD 37 to 40 per hour.

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

Extension: Yes.

After the waiting period: consultants are eligible for the full set of benefits listed above.

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1d ago

Data Analyst

Aquent Talent Redmond, WA

Redmond, WA

1d ago

$47 - $53/hr Full time Data Analysis Data Analytics Data Integration

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Job Description

In this Data Analyst role, you will work closely with senior management and technical partners to shape data requirements and deliver scalable reporting. Aquent Talent is focused on enterprise-grade data systems, where your work supports reliable ETL operations, strong database design, and clear translation of complex information into actionable insights.

Based in Redmond, WA, this position is onsite with an hourly rate of USD 47–53. The role requires 2+ years of relevant professional experience and a Bachelor’s degree in a technical field such as Computer Science, Computer Engineering, or a related discipline.

What you’ll do

Partner with senior management, technical teams, and internal clients to define data requirements, support business data strategies, and apply best practices for advanced data manipulation, storage, and analysis.
Create and code logical and physical database descriptions, helping communicate database identifiers to management systems or guiding others through implementation.
Design, implement, automate, and maintain large-scale enterprise ETL (Extract, Transform, Load) processes to ensure data integrity and availability.
Modify existing databases and database management systems, or direct programmers and analysts to make required adjustments.
Test programs and databases, identify and correct errors, and implement changes to improve performance and accuracy.

What you bring

Proven experience with various database technologies.
Solid understanding and practical experience with the ETL process.
Proficiency in at least one scripting language.
Exceptional written and oral communication skills, with the ability to explain complex technical information clearly to diverse audiences.
Strong troubleshooting and problem-solving skills, including the ability to break down complex issues and deliver effective solutions.
A demonstrated history of success in previous roles, including the ability to deliver results.
A genuine interest in working with data and enabling data-driven business decisions.
A Bachelor’s degree in a technical field such as Computer Science, Computer Engineering, or related discipline.
2–4 years of relevant professional experience in data analysis or a related field.

Technologies

ETL (Extract, Transform, Load)
Database technologies
Scripting language

Stand out with

More extensive experience in core data analysis hard skills, indicating deeper expertise.
Additional knowledge or experience with Artificial Intelligence (AI) concepts and applications.

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7d ago

Aerospace Senior Quality Data Technician/Analyst-Data Engineer

Trigo Group Redmond, WA

Redmond, WA

7d ago

$60 - $70/hr Full time Senior Amazon Web Services Analytics

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Job Description

Trigo Group is hiring a senior Quality Data Technician/Analyst/Data Engineer to support TRIGO ADR Americas Aerospace customers and suppliers. In this onsite role in Redmond, WA, you will plan, organize, and manage data-focused projects while partnering across functional teams to deliver analytical outputs such as dashboards, data pipelines, reporting, and ongoing data solution maintenance.

What you’ll do

Manage and administer Quality Department data-related projects, including dashboard creation and maintenance, data pipeline development, script creation and upkeep, reporting and summary generation, and support for data collection and processing efforts
Maintain, manage, and improve existing data solutions and data handling/processing/storage practices
Create templates and customer reports based on customer data, and support management with data analysis and metrics generation
Build and maintain database tables, along with technical documentation and procedures
Define guidelines to track project milestone completion from start to end of the lifecycle
Coordinate internal distribution of project documentation for review and revisions, as required
Ensure communication and information exchange across department heads to support programs impacted by cross-functional work
Lead and maintain project status, including RAIL and other required components
Perform other duties as assigned

Key requirements

Strong background in project management methodology
Self-motivated approach with problem-solving and decision-making skills
Fluent English with reading and writing required
Professionalism, integrity, and exceptional attention to detail, with strong independent decision-making and analytical judgment
Proficiency with Microsoft Office, including MS Projects
Effective communication skills and adaptability to evolving needs in a fast-paced, high-growth environment
Ability to understand and evaluate technical specifications, requirements, and program capabilities
Capacity to work independently while interfacing with cross-functional disciplines to drive tasks to completion
Experience executing multiple activities and projects in a matrix organization, including production-level work
Ability to lead and work hand in hand with the customer on production and day-to-day program needs (technical and other)
Ability to multitask in a high-pressure, fast-paced environment and identify and resolve issues at the production level
Reliable transportation: must have a current/active driver’s license and valid auto insurance
Pre-hire background checks including credit screening and DMV screening, plus pre-hire drug screening
US citizenship or permanent residence status required depending on work location
MUST live within 50 miles of Redmond, WA

Preferred experience and skills

Bachelor’s degree preferred; minimum 2 years of data-related experience
1 to 2 years of SQL knowledge (Trino/Presto is a plus)
Programming experience in a high-level language such as Python, Java, or JavaScript
Experience building and managing data pipelines
Familiarity with data-related technologies such as Apache Kafka, Apache Spark, and AWS Glue
Additional desired skills: Quality Management Systems; AWS and cloud technologies; data management tools such as Grafana, Tableau, Power BI, and Quick Sight; SPC and quality engineering principles; root cause analysis and corrective action
Knowledge of Standard Drawings Conventions, interpreting drawings/specifications, and GD&T

Technologies you may use

Microsoft Office, MS Projects, SQL, Trino/Presto, Python, Java, JavaScript
Apache Kafka, Apache Spark, AWS Glue, AWS, Grafana, Tableau, Power BI, Quick Sight

Working conditions

Typical hours: Monday to Friday, 8:00 a.m. to 5:00 p.m.; occasional extended hours and weekend overtime may be required
Productivity expectations: work efficiently, effectively, and timely with minimal direction
Office environment: working with the Quality management team, the SMS team, and external customers
Mobility requirements include light lifting and sitting for prolonged periods; occasional standing, walking, reaching, climbing/balancing, and stooping/kneeling/crouching/crawling
May occasionally drive long distances to suppliers and lift/move up to 20 pounds
Vision abilities required: close/distance/color/peripheral vision and ability to adjust focus
Noise level: usually moderate to high

Compensation and benefits

Pay range: $60.00 to $70.00 per hour eligible for overtime (salary information is a general guideline)
12 days paid vacation in the first year, increasing with service years
10 days paid sick time and 11 paid holidays
Healthcare insurance available: Medical, dental, vision, STD, LTD, critical illness, and life insurance for self and dependents
Champ Plan Wellness and Health
401k retirement savings with match
Company-provided cell phone, laptop, and mobile wi-fi (for business use only)
Regular hourly rate for travel time; direct pay travel arrangements for flights, hotels, and rental cars; travel reimbursements direct deposited with each payroll
$1500 employee referral bonus; immediate vesting

Shift note: shift will vary depending on program needs.

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8d ago

Senior Data Scientist

Microsoft Redmond, WA

Redmond, WA

8d ago

$120k - $261k/yr Full time Senior Artificial Intelligence Data Analysis

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Job Description

At Microsoft, this Senior Data Scientist role supports improvements to the Microsoft consumer eCommerce experience by combining data science with emerging AI. The work focuses on building analytics and AI solutions that help teams understand customers, generate insights, and make better decisions, with a strong emphasis on translating real needs into scalable analytical approaches.

What you’ll do

Apply data science techniques to customer and business problems, including machine learning, statistical analysis, experimentation, causal inference, segmentation, forecasting, and predictive modeling.
Turn ambiguous business and user needs into clear analytical approaches and scalable solutions.
Create solutions tied to users and decision-making scenarios so insights are easier to discover, understand, and act on.
Explore and apply emerging technologies, including generative AI, large language models, and AI agents, to strengthen insight generation and analytical experiences.
Rapidly prototype and evaluate new methods, balancing technical proficiency with speed and practical business value.
Build and operationalize analytical and machine learning solutions in partnership with engineering and other technical teams.
Choose the right approach for each problem, including traditional analytics, machine learning, generative AI, or combinations of techniques.
Assess solutions using both technical quality and real-world effectiveness, including usability, adoption, decision quality, and business impact.
Communicate analytical concepts, findings, and recommendations clearly to both technical and non-technical audiences.
Develop reusable analytical methods, frameworks, and capabilities that can scale across users and business scenarios.
Embody Microsoft’s culture and values.

Minimum qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results)
OR Master’s degree in a related field AND 3+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results)
OR Bachelor’s degree in a related field AND 5+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results) OR equivalent experience

Technologies you may use

machine learning, generative AI, large language models, AI agents
Python, SQL

Preferred qualifications

Experience applying data science, machine learning, applied statistics, or related quantitative techniques to real-world business problems.
Experience working with large, complex datasets using Python and SQL.
Experience with machine learning, statistical methods, experimentation, model evaluation, and analytical problem solving.
Experience translating ambiguous business questions into structured analytical approaches and actionable recommendations.
Experience extending analytical work beyond analysis or model development into solutions, products, or workflows used by others.
Experience applying generative AI, LLMs, AI agents, or other emerging AI technologies to analytics, insight generation, or business workflows.
Experience in areas such as personalization, customer analytics, behavioral data, segmentation, recommendation systems, or experimentation.

Role details

Location: Redmond, WA (onsite)
Compensation (base): USD 119,800 - 261,000 per year
Data Science IC4 typical base pay range (U.S.): USD 119,800 - 234,700 per year
Additional location-specific range: San Francisco Bay area and New York City metro area: USD 160,200 - 261,000 per year
Certain roles may be eligible for benefits and other compensation. Learn more: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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8d ago

Senior Data Analyst

Microsoft Redmond, WA

Redmond, WA

8d ago

$106k - $223k/yr Full time Senior Analytics Business Analytics

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Job Description

Turn complex business questions into evidence-based recommendations using analysis, visualization, and reusable decision tools.

Responsibilities

Clarify ambiguous business questions into defined analytical problems and analysis plans.
Present evidence, assumptions, and trade-offs to align stakeholders and support implemented decisions.
Work with large, complex datasets using SQL and a general-purpose programming language such as Python or R.
Use statistical and analytical methods to find patterns, quantify relationships, diagnose outcomes, and deliver actionable insights.
Design and optimize scalable Power BI semantic models using DAX and dimensional modeling techniques.
Define and maintain shared metrics, measures, and business logic for consistent, trusted reporting across Power BI products.
Design impact evaluations, including hypotheses, success metrics, guardrails, and result interpretation.
Build reusable analytical tools and data products to enable repeatable decision-making and reduce manual analysis.
Partner with economists, data scientists, engineers, and business teams to define analytical objectives, prioritize work, and set success metrics.
Embody Microsoft’s Culture & Values.

Requirements

Master’s Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
OR Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
OR equivalent experience.
Master’s Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field with 4+ years experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.
OR Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field with 6+ years experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.

Preferred / Additional Qualifications

Experience applying statistics or data science to pricing, monetization, or related business problems.
Experience building Power BI dashboards and semantic models on Microsoft Fabric.

Technologies

SQL
Python
R
Power BI
DAX
Microsoft Fabric

Role Overview

The Office of the Chief Economist includes economists, data scientists, analysts, and engineers whose work informs decisions across Microsoft’s largest businesses.
Work includes descriptive and statistical analysis, visualization, and development of reusable analytical tools.
Collaborate closely with economists and data scientists on modern methods including prediction, causal inference, and experimentation.

Location: Redmond, WA (onsite)

Compensation: USD 106,400 - 222,600 per year

Minimum experience: 2 years

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10d ago

DATA ANALYST

Microsoft Redmond, WA

Redmond, WA

10d ago

$37 - $42/hr Contract Azure Azure Storage Data

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Job Description

The contract Data Analyst role will support Microsoft OCR processing and the management of large document and text datasets used for AI model training. The position is focused on monitoring workflow quality, maintaining dataset inventories, and coordinating Azure storage transfers and delivery packages.

Role Overview

In this role, you will operate and monitor existing OCR workflows, review processing outputs and logs for exceptions, and help ensure datasets are delivered with accurate metadata and documented quality findings. You will also manage uploads, downloads, and transfers in Azure storage to support dataset delivery for model-training use.

Responsibilities

Operate and monitor OCR workflows, including processing queues, job status, completion rates, and failed or stalled batches
Review logs and processing reports to identify exceptions, execute documented recovery steps, and escalate technical issues to engineers
Maintain batch tracking records and coordinate reruns, priorities, and outstanding processing tasks
Review OCR outputs against source documents using sampling techniques and established quality criteria
Identify missing pages, empty outputs, duplicate records, unreadable text, formatting problems, and incomplete content
Run existing cleaning and validation tools, review results, and flag questionable changes for further investigation
Maintain issue logs, categorize recurring errors, and track corrections through resolution
Summarize quality trends and recommend improvements to review procedures and data handling
Maintain inventories linking source documents, OCR outputs, cleaned data, and dataset versions
Validate metadata including document identifiers, titles, subjects, languages, page counts, and processing status
Reconcile batch manifests and tracking records against actual files to identify missing, mismatched, or duplicate items
Organize generated data using agreed folder structures, naming conventions, and versioning standards
Prepare dataset delivery packages with manifests, quality summaries, and documented exceptions
Manage uploads, downloads, and transfers of source files and generated datasets in Azure storage
Verify transfer completion, file counts, and integrity using established tools and reports
Investigate routine transfer failures, incorrect paths, and access issues; coordinate with administrators when needed
Follow approved access, retention, and data-sharing procedures; maintain records of dataset deliveries and changes
Maintain operational trackers and dashboards covering processing progress, backlog, quality, and dataset readiness
Provide concise updates on completed batches, unresolved issues, and delivery risks
Maintain standard operating procedures and support handoffs between data operations, engineering, and model-training teams

Requirements

Minimum 2 years of hands-on experience in data analysis, data operations, data quality assurance, or dataset management
Demonstrated experience managing and organizing files within cloud storage environments
Prior experience working with AI training-data operations is a plus
Background at a large technology company or enterprise environment is strongly preferred
Bachelor of Science degree required
Hands-on experience with cloud storage platforms, including file organization, uploads, and downloads
Proficiency with common document and data formats including PDF, text, CSV, and JSON
Experience checking data completeness, accuracy, consistency, and metadata quality
Ability to use existing dashboards, processing tools, and logs to monitor workflows and investigate exceptions
Strong attention to detail with the ability to manage repetitive validation tasks consistently while prioritizing exceptions
Clear written and verbal communication skills with strong documentation practices
Ability to anticipate risks and follow issues through to resolution
Familiarity with Azure Storage Explorer, AzCopy, or comparable file-transfer tools (preferred)
Basic SQL skills for querying, validation, and reconciliation (preferred)
Basic Python knowledge sufficient to run existing scripts or make minor adjustments (preferred)
Experience with Power BI or similar operational reporting tools (preferred)
Familiarity with dataset versioning, source traceability, access controls, and human-review workflows (preferred)

Technologies

Azure
Azure Storage Explorer
AzCopy
PDF
CSV
JSON
SQL
Python
Power BI

Contract Details

Location: Redmond, WA (Onsite)
Duration: 8 months
Pay Range: $37.50 - $42.50 per hour
Weekly Schedule: 40 hours
Job Status: Non-Exempt
Application Deadline: Apply within 72 hours of the posting date to ensure consideration
Job Type: Contract

Benefits

Medical, dental & vision
Hospital plans
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
Company paid short and long-term disability
Health & Dependent Care Spending Accounts (HSA & DCFSA)
Employee Assistance Program
Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave

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11d ago

Data Engineer

Wipro Limited Redmond, WA

Redmond, WA

11d ago

$60k - $140k/yr Full time Backend Developer API APIs

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Job Description

Work onsite in Redmond, Washington as a Data Engineer supporting an AI Platform by building and modernizing Azure data and integration capabilities.

Responsibilities

Design and build scalable Azure data platforms, ETL/ELT pipelines, and analytical solutions
Develop REST APIs and backend services using C#, .NET, and ASP.NET Core
Create data and integration services with Azure SQL, Cosmos DB, Kusto, Azure Functions, Event Hubs, and Service Bus
Modernize legacy data pipelines, services, APIs, storage platforms, and application components
Build and maintain CI/CD pipelines using Azure DevOps and Git
Apply secure cloud practices using Azure Key Vault, identity, authentication, and access controls