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Data Solutions Engineer Jobs in California (NOW HIRING)

... engineering to ensure successful deployments and meaningful data outcomes. This is a highly ... to improve solutions and close gaps • Escalate product or data issues and collaborate with ...

Solutions Engineer

San Francisco, CA · On-site

$200K - $250K/yr

About the role As a Solutions Engineer at WorkOS, you'll sit at the intersection of engineering ... If you would like more information about how your data is processed, please contact us.

Solutions Engineer

Santa Clara, CA · On-site

$140K - $170K/yr

It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines. Our solutions are used by ...

It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines. Our solutions are used by ...

Senior/ Lead Data Solution Engineer

Redwood City, CA · On-site +1

$67.75 - $87.25/hr

... Engineer to join our vibrant team. This pivotal role offers an exciting opportunity to shape the ... Design and Implement Scalable Data Solutions * Lead the design and implementation of innovative ...

... engineering to ensure successful deployments and meaningful data outcomes. This is a highly ... to improve solutions and close gaps • Escalate product or data issues and collaborate with ...

Mach9 is a leading company specializing in machine learning and computer vision techniques to enhance geospatial data for civil engineering. They are looking for a Solutions Engineer to drive the ...

Solutions Engineer

San Francisco, CA · On-site

$140K - $160K/yr

The Solutions Engineering team at Sentry is responsible for helping our largest customers ... Want to learn more about how Sentry handles applicant data? Get the details in our Applicant ...

You'll dive deep into complex data problems, fine-tune prompts, and refine systems that power the ... into actionable solutions. * Experience with prompt engineering, AI agents, or AI-powered ...

... engineering to ensure successful deployments and meaningful data outcomes. This is a highly ... to improve solutions and close gaps · Escalate product or data issues and collaborate with ...

Solutions Engineer, Remote

Arcata, CA · On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... solutions engineering, sales engineering, or similar role. * Proficiency in SQL and Python is ...

Solutions Engineer

San Francisco, CA · On-site

$160K - $185K/yr

Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that ... About the Role We are looking for a Solutions Engineer to collaborate across Sales, Product ...

Showing results 41-60

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 Aug 7, 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 is a data solutions engineer?

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.

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 as a data solutions engineer?

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:
Infographic showing various Data Solutions Engineer job openings in California as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data and Cloud Solutions Architect

Tranzeal Incorporated

San Jose, CA • On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
Tranzeal Incorporated is seeking a Data and Cloud Solutions Architect to work closely with engineering teams in designing and implementing data solutions. The role emphasizes solution and data architecture, requiring hands-on experience in cloud-based data solutions, particularly in Azure.
Responsibilities:
• Emphasize on Solution & Data Architecture and the need to work closely with the engineering teams to design and help implement solutions to adhere to the design.
Qualifications:
Required:
• 4 year degree in Computer Science ONLY Must-Have
• Minimum of 5 years in data engineering with experience in distributed computing frameworks such as Spark, MapReduce, or DataBricks
• Proven experience in designing and implementing cloud-based data solutions specifically in Azure
• Data modeling expertise (deep understanding of concepts and techniques)
• Strong proficiency with relational and non-relational database systems
• Exceptional diagramming skills using tools like Visio, Lucidchart, or similar for data flows, ER diagrams, and architecture visuals
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Tranzeal logo

About Tranzeal

Sourced by ZipRecruiter

Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

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