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Ai Data Analytics Jobs in Renton, WA (NOW HIRING)

AI Data Engineer

Redmond, WA ยท On-site

$128K - $154K/yr

Requirement - AI Data Engineer Location- Redmond WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard ... Minimum 5 years of experience designing and developing reporting and analytics solutions. * Hands ...

AI Data Engineer

Redmond, WA ยท On-site

$128K - $154K/yr

Top 3 Must-Have Hard Skills 1. Reporting & Analytics - 5+ Years * Minimum 5 years of experience ... Description The main function of an AI Data Engineer is to design, develop, enhance, validate ...

Technical Architect - Data, Analytics & AI

Kent, WA ยท Hybrid

$72 - $92.50/hr

This position is based in the USA and ensures that Data, Analytics, and AI architecture vision, principles, and standards are consistently executed through a common enterprise framework , with a ...

AI Data Engineer 3

Redmond, WA

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

AI Data Engineer 3

Redmond, WA ยท On-site

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Architect scalable, cloud-native software solutions and modern data platforms (e.g Microsoft Fabric, Databricks, Snowflake) aligned with enterprise analytics and AI initiatives. Delivery Oversight ...

Microsoft Fabric, Databricks, Snowflake) aligned withenterprise analytics and AI initiatives. * Delivery Oversight &Hands-On Execution: Provide technical leadership to global development and data ...

Agentic AI, AI & Data Science Engineer

Seattle, WA ยท On-site

$130K - $156K/yr

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required: * 4+ years of experience delivering AI ...

AI Data Engineer

Redmond, WA ยท On-site

$128K - $154K/yr

Identify and analyse multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfils the analytics requirements. * Design data ...

AI Data Engineer 3

Redmond, WA ยท On-site

$70 - $77/hr

Pay Range: $70/hr - $77/hr Here's a dynamic and engaging job posting for the AI Data Engineer 3 ... Analyze extensive and intricate datasets to uncover trends, identify anomalies, pinpoint gaps ...

GCP Cloud Analytics Engineer

Seattle, WA

$63.50 - $84.75/hr

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform ...

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Ai Data Analytics information

See Renton, WA salary details

$27

$61

$106

How much do ai data analytics jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for ai data analytics in Renton, WA is $61.58, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $69.76 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized knowledge of tools like Python, TensorFlow, or cloud platforms.

Which 3 jobs will survive AI?

Data analysts, AI specialists, and cybersecurity professionals are expected to remain in demand as AI advances. These roles require critical thinking, complex problem-solving, and specialized skills that are difficult to automate fully. Continuous learning and proficiency with AI tools can enhance job security in these fields.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI Data Analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the salary of an AI data analyst?

The salary of an AI data analyst typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, programming, and data visualization tools tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as an AI Data Analyst, and why are they important?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI Data Analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists in a collaborative environment.
What job categories do people searching Ai Data Analytics jobs in Renton, WA look for? The top searched job categories for Ai Data Analytics jobs in Renton, WA are:
What cities near Renton, WA are hiring for Ai Data Analytics jobs? Cities near Renton, WA with the most Ai Data Analytics job openings:
Infographic showing various Ai Data Analytics job openings in Renton, WA as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $128,088 per year, or $61.6 per hour.

AI & Data Analytics Presales Solution Architect

Armaninollp

Bellevue, WA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about.

Armanino is proud to be Among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

We are seeking a client-focused Data Analytics, AI & Microsoft Fabric Pre-Sales Architect to join our Artificial Intelligence Solutions practice. This role blends deep expertise in modern data platforms with the ability to shape and sell AI-driven transformation initiatives. You will lead with data and analytics (Microsoft Fabric) and expand conversations into AI strategy, Launchpad workshops, and AI Factory delivery, helping clients move from ideas to scalable execution.

Job Responsibilities

  • Partner with sales teams to shape and advance data and AI opportunities

  • Lead discovery sessions to identify business challenges, data needs, and AI use cases

  • Design and present end-to-end solutions using Microsoft Fabric

  • Translate technical concepts into clear business value and ROI narratives

  • Support proposals, RFPs, and solution scoping

  • Design modern data platforms using:

    • Microsoft Fabric (Lakehouse, Warehouse, Power BI, Data Factory)

    • Scalable, secure, and governed architectures

  • Guide clients through data modernization and migration strategies

  • Define best practices across data modeling, pipelines, and analytics

  • Identify and shape AI use cases tied to business outcomes

  • Position and help sell:

    • AI Launchpad workshops

    • AI Factory delivery model

  • Connect data platform capabilities to AI enablement

  • Lead client discussions, whiteboarding sessions, and solution presentations

  • Build relationships with business and technology stakeholders

  • Communicate the "Art of the Possible" across data and AI

  • Facilitate or support AI Launchpad workshops

  • Contribute to AI strategy and roadmap development

  • Help evolve AI Factory offerings and go-to-market assets

  • Support early-stage delivery and mentor team members

  • Contribute to thought leadership (events, webinars, content)

Requirements

  • Minimum 7 years of experience in data architecture, analytics, or data platform solutions

  • Experience in a client-facing, pre-sales, or consulting role

  • Hands-on experience with at least one of the following:

    • Microsoft Fabric, OR

    • Azure Synapse / Azure Data Factory / Power BI / Databricks

  • Strong understanding of:

    • Data warehousing and dimensional modeling

    • ETL/ELT and modern data architectures (lakehouse concepts)

  • Ability to translate technical solutions into business value

  • Experience leading client discussions, demos, or solution presentations

Preferred Qualifications

  • Direct experience with Microsoft Fabric end-to-end workloads

  • Experience selling or delivering AI-related solutions or initiatives

  • Familiarity with:

    • Generative AI (Copilots, LLMs, embeddings)

    • Predictive analytics or machine learning

  • Experience with AI workshops, ideation sessions, or roadmap development

  • Microsoft certifications (Fabric, Azure Data, AI Engineer)

  • Industry experience (e.g., Manufacturing, Healthcare, Financial Services)

"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standards. Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.

Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge.

Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.

Certain states require us to disclose the pay range and benefits summary for job openings. For Colorado residents, the compensation range for this position: $133,300 - $181,700. For Washington residents, Illinois residents, New York residents, and Southern California residents, the compensation range for this position: $146,700 - $199,800. For Northern California residents, the compensation range for this position: $153,300 - $208,900. Compensation may vary based on skills, role, and location. Eligible employees at certain levels can participate in a discretionary long-term financial incentive plan, subject to plan participation rules.

Armanino has a robust offering of benefits, including:

  • Medical, dental, vision

  • Generous PTO plan and paid sick time

  • Flexible work arrangements

  • 401K with Profit Sharing

  • Wellness program

  • Generous parental leave

  • 11 paid holidays

For positions based in San Francisco, consistent with the SF Fair Chance Ordinance, an arrest and conviction record will not automatically disqualify a qualified applicant from consideration.

For Individuals who would be working within the City of Los Angeles, Armanino will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

To view our Consumer Notice at Collection for job applicants, please visit: https://www.armanino.com/terms/ccpa-employee-notice/

We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.