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Data Solutions Engineer Jobs in California (NOW HIRING)

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer role involves bridging technical execution and customer needs across AI data projects, working closely with various teams to design scalable data workflows and support ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs across AI data projects, working closely with clients and various teams to design scalable data workflows and support ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs, working closely with clients and teams to design scalable data workflows and support AI data projects. Responsibilities ...

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

They are seeking an AEP Lead Data Solutions Engineer to collaborate within the Adobe Experience Platform suite, focusing on building scalable data solutions and ensuring data accuracy for impactful ...

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

Adobe, Inc.

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

Anthropic

Recruiting Solutions Engineer

San Francisco, CA · On-site

$270K - $290K/yr

Working closely with Recruiting leadership, People Products Engineering, and Data Solutions, you'll own the full enablement loop: you'll leverage your AI engineering expertise to turn recruiter-built ...

Grocery Outlet

Data Solutions Architect

Emeryville, CA · On-site

$140K - $155K/yr

Collaborate closely with product managers and other engineers to understand business priorities, business workflows, and architect data solutions. * You will go well beyond bespoke tables to solve ...

Datapelago

Solutions Engineer

Mountain View, CA · On-site

Solutions Engineer - DataPelago Transform Enterprise AI & Analytics Infrastructure - The AI race is ... Deep-dive into customer infrastructures to understand their current data processing architecture ...

Datapelago

Solutions Engineer

Mountain View, CA

Solutions Engineer - DataPelago Transform Enterprise AI & Analytics Infrastructure - The AI race is ... Deep-dive into customer infrastructures to understand their current data processing architecture ...

Collabera

Solutions Engineer

Sunnyvale, CA · On-site

$90 - $100/hr

Job Details: Title: Solutions Engineer Location: Sunnyvale, CA 94089 Duration: 12 months of ... Cross-reference supplier data against external platforms (e.g., Z2Data, DigiKey, SiliconExpert) and ...

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Showing results 1-20

All JobsData Solutions Engineer JobsData Solutions Engineer Jobs in California

Data Solutions Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data solutions engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data solutions engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data solutions engineers with extensive experience, advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What engineers make $300,000 a year?

Senior data solutions engineers, especially those with extensive experience, advanced skills in cloud platforms, data architecture, and programming, can earn $300,000 or more annually. High compensation often depends on factors like location, industry, certifications, and the complexity of projects handled.

What is a Data Solutions Engineer job?

A Data Solutions Engineer designs, develops, and optimizes data architectures, pipelines, and integrations to support business intelligence, analytics, and machine learning. They work with databases, cloud platforms, and data processing frameworks to ensure efficient data flow and storage. This role requires expertise in data modeling, ETL processes, and programming languages like SQL, Python, or Scala. Collaboration with data scientists, analysts, and software engineers is essential to build scalable and reliable data solutions.

Can I make 200K as a data engineer?

Data Solutions Engineers and data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise.

What does a data solutions engineer do?

A data solutions engineer designs, develops, and implements data systems and pipelines to support data analysis and business needs. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and secure, often collaborating with data scientists and analysts. Strong problem-solving skills and knowledge of data architecture are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Solutions Engineer position, and why are they important?

To thrive as a Data Solutions Engineer, you need strong expertise in data modeling, database architecture, and data integration, often backed by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, ETL platforms, cloud services like AWS or Azure, and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valued. Excellent problem-solving, collaboration, and communication skills help bridge technical and non-technical teams and ensure project success. These abilities enable efficient delivery of scalable, reliable data solutions that support business goals.

What are some typical challenges Data Solutions Engineers face in their daily work?

Data Solutions Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for performance and scalability. They may need to balance the technical demands of building robust data architectures with adapting to changing business requirements and deadlines. Collaboration with cross-functional teams—including data scientists, analysts, and business stakeholders—is common, requiring adaptability and strong communication skills. Overcoming these challenges not only keeps the job engaging but also offers opportunities for continuous learning and professional growth.

What are the most commonly searched types of Data Solutions Engineer jobs in California? The most popular types of Data Solutions Engineer jobs in California are:
What are popular job titles related to Data Solutions Engineer jobs in California? For Data Solutions Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Solutions Engineer jobs in California look for? The top searched job categories for Data Solutions Engineer jobs in California are:
Data Solutions Engineer jobs near you
Infographic showing various Data Solutions Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Solutions Engineer

Abaka AI

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Posted 7 days ago

Job description

Job Summary:
Abaka AI is dedicated to being the world's most trusted data partner for AI companies, supporting over 1,000 industry leaders with reliable data solutions. The Data Solutions Engineer role involves bridging technical execution and customer needs across AI data projects, working closely with various teams to design scalable data workflows and support successful project execution.
Responsibilities:
• Partner with clients and internal stakeholders to understand project requirements and define scalable data workflows
• Translate customer needs into operational plans, technical specifications, and execution strategies
• Support AI data projects across image, video, audio, text, reasoning, and multimodal domains
• Troubleshoot dataset quality issues and identify workflow improvements
• Collaborate cross-functionally with Project Management, Operations, Research, GTM, and Engineering teams
• Assist with dataset reviews, QA processes, delivery validation, and project health tracking
• Build or improve lightweight internal tooling, automations, and operational systems
• Support presales conversations by helping scope project feasibility, timelines, and technical requirements
• Develop a strong understanding of frontier AI workflows, benchmarks, and model development needs
• Contribute to internal documentation, process standardization, and operational scalability
Qualifications:
Required:
• 1–4 years of experience in Solutions Engineering, Data Operations, Technical Program Management, Analytics, Consulting, AI Operations, or related fields
• Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders
• Highly organized with strong problem-solving abilities and attention to detail
• Comfortable operating in fast-paced startup environments with evolving priorities
• Interest in AI, machine learning, multimodal systems, or data infrastructure
Preferred:
• Familiarity with SQL, Python, scripting, APIs, spreadsheets, or workflow automation tools
• Experience working cross-functionally with technical and operational teams
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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