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Data Solutions Developer 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 ...

BakerHostetler

Data Solutions Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ... developing data and software solutions. REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS: 1. ...

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 · 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 ...

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 ...

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 ...

Socket.dev

Data Solutions Architect

Sunnyvale, CA · On-site

$100 - $150/hr

Data Solutions Architect - Remote Bright Vision Technologies is a technology consulting and ... Eight or more years of experience in data engineering, with significant time in architecture roles.

Wiliot

Data Solutions Analyst

San Francisco, CA · On-site

... 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 ...

Wiliot

Data Solutions Analyst

San Mateo, CA · On-site

... 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 ...

Wiliot

Data Solutions Analyst

San Francisco, CA · On-site

... 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 ...

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All JobsData Solutions Developer JobsData Solutions Developer Jobs in California

Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.
What are popular job titles related to Data Solutions Developer jobs in California? For Data Solutions Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Solutions Developer jobs in California look for? The top searched job categories for Data Solutions Developer jobs in California are:
What cities in California are hiring for Data Solutions Developer jobs? Cities in California with the most Data Solutions Developer job openings:
Data Solutions Developer jobs near you
Infographic showing various Data Solutions Developer job openings in California as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, 2% Temporary, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Analyst /Data Solutions Developer

eStaffLLC

Sacramento, CA • On-site

$93K - $118K/yr

Other

Posted 24 days ago

Job description

Senior Data Analyst / Data Solutions Developer Position Summary We are seeking an experienced Senior Data Analyst/Data Solutions Developer in the Sacramento, CA, area. The client requires 2 days/week in the Sacramento office. Anyone out of state will be rejected. Will analyze, reverse-engineer, document, and modernize existing reports, dashboards, data interfaces, and business applications. The ideal candidate possesses advanced SQL expertise, strong analytical skills, and the ability to translate complex legacy reporting and operational systems into scalable Enterprise Data Warehouse (EDW) solutions. This job is open to both W-2 and C2C. This role requires a unique combination of data analysis, business process understanding, database development, reporting, UI/UX design, and application development skills. The successful candidate will work closely with business stakeholders to understand existing systems and recreate or enhance them using modern data platforms and reporting tools. Key Responsibilities Business & Data Analysis Analyze and reverse engineer existing reports, dashboards, data extracts, interfaces, and business applications. Document data flows, business rules, calculations, transformations, and reporting requirements. Work directly with business users to understand operational processes and reporting needs. Identify opportunities to consolidate, modernize, and improve existing reporting solutions. Enterprise Data Warehouse Development Design and develop SQL-based solutions within enterprise data warehouse environments. Translate legacy reporting logic into optimized EDW structures and reusable SQL components. Develop complex SQL queries, views, stored procedures, and data models. Validate data accuracy through reconciliation and comparison against existing systems. Key Competencies: Reverse engineering and business process analysis Advanced SQL and database development Enterprise Data Warehouse design and implementation Report and dashboard modernization User interface and user experience design Analytical problem solving Stakeholder communication and requirements gathering Reporting & Dashboard Development Develop modern reports, dashboards, scorecards, and analytical applications. Recreate legacy reports while improving usability, performance, and maintainability. Build executive, operational, and ad-hoc reporting solutions. Design intuitive and visually effective user interfaces for reporting and analytics. Design and implement data-driven user interfaces and business applications. Develop forms, dashboards, workflow screens, and operational portals. Create user-friendly experiences across multiple technology platforms. Collaborate with stakeholders to improve usability and business adoption. Platform & Solution Development Work across multiple databases and application platforms. Support migration of reporting and analytical solutions from legacy systems to modern architectures. Utilize Agiline aiWorks , similar or related technologies to build data-driven applications and automation solutions. Required Qualifications * 5+ years of experience in data analysis, reporting, business intelligence, or application development. * Expert-level SQL development skills. * Strong experience analyzing and documenting existing systems and business processes. * Experience designing and developing reporting and dashboard solutions. * Ability to understand complex data structures and business rules. * Strong problem-solving, analytical, and communication skills. Technical Skills * Database Platforms: Microsoft SQL Server, Oracle Database, PostgreSQL, Azure SQL Database, MySQL (preferred) * Data & Analytics: Advanced SQL development, Data warehousing concepts, Data modeling and business rule implementation, Report and dashboard development, Data validation and reconciliation * Application Development: Agiline aiWorks, Web-based UI design and development, Forms and workflow applications, , Dashboard and portal development, Low-code / no-code platforms Key Competencies: * Reverse engineering and business process analysis * Advanced SQL and database development * Enterprise Data Warehouse design and implementation * Report and dashboard modernization * User interface and user experience design * Analytical problem solving * Stakeholder communication and requirements gathering

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