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Sql Remote Jobs in San Ramon, CA (NOW HIRING)

Job Title Marketing Data Analytics Client Confidential Location SF, CA (100% Remote- PST Work Hours ... Jira/Confluence, SQL, Databricks, Data Mining tools, Tableau, Salesforce, Socrates Thank You ...

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

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Sql Remote information

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$23

$58

$81

How much do sql remote jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for sql remote in San Ramon, CA is $58.78, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $66.63 per hour, depending on experience, location, and employer.

What is a SQL Remote job?

A SQL Remote job is a position where professionals work with SQL (Structured Query Language) databases while performing their duties remotely, typically from home or another off-site location. These jobs may include roles such as database administrators, SQL developers, or data analysts who manage, query, and maintain databases over the internet. Remote SQL professionals use collaboration tools and secure connections to access company databases, ensuring data integrity and security while not being physically present in the office. This setup allows for greater flexibility and can open opportunities to work with companies worldwide.

What are the key skills and qualifications needed to thrive as a SQL Remote professional, and why are they important?

To thrive as a SQL Remote professional, you need strong knowledge of SQL querying, database design, and data analysis, typically backed by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, MySQL, or PostgreSQL, and certifications such as Microsoft Certified: Azure Database Administrator Associate are commonly required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively in remote environments. These skills ensure accurate data management, efficient troubleshooting, and seamless team coordination across distributed settings.

What are some common challenges faced by remote SQL professionals, and how can they be addressed?

Remote SQL professionals often encounter challenges such as maintaining clear communication with distributed teams, managing database security remotely, and efficiently troubleshooting issues without direct access to onsite resources. To address these, it's helpful to utilize collaboration tools, establish regular check-ins with team members, and follow best practices for secure remote database access. Staying organized and proactive about documentation also ensures smooth workflows and quick resolution of database-related problems.

What Are Different Remote SQL Jobs?

Remote SQL jobs include back-end and front-end positions, such as remote SQL developer, remote SQL database administrator, and remote SQL data analyst. Work from home SQL database administrator duties may include directing a team of SQL developers, working to manage and support SQL databases, gathering end user requirements, improving and enhancing the system, server, or software, and conducting database maintenance and troubleshooting. SQL developer responsibilities include working to design, support, and conduct an analysis of applications that interface with the SQL computer language, helping to develop database prototypes, and testing and writing code. An SQL data analyst works to create database function, integrate data, design reports, write scripts, add data, clean the database, and solve data issues.

What is the difference between Sql Remote vs Sql Developer?

AspectSql RemoteSql Developer
Required CredentialsSQL certifications, remote work experienceSQL certifications, programming skills
Work EnvironmentRemote, independentOffice or remote, collaborative
Industry UsageData management, remote support rolesDatabase design, development, troubleshooting

Sql Remote typically involves managing SQL databases remotely, focusing on support and maintenance tasks. Sql Developer is more involved in designing, developing, and optimizing SQL databases, often working in team environments. While both roles require SQL certifications, Sql Remote emphasizes remote work skills, whereas Sql Developer emphasizes development expertise.

What are popular job titles related to Sql Remote jobs in San Ramon, CA? For Sql Remote jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Sql Remote jobs in San Ramon, CA look for? The top searched job categories for Sql Remote jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Sql Remote jobs? Cities near San Ramon, CA with the most Sql Remote job openings:
Infographic showing various Sql Remote job openings in San Ramon, CA as of July 2026, with employment types broken down into 73% Full Time, 11% Part Time, and 16% Contract. Highlights an 43% Physical, 3% Hybrid, and 54% Remote job distribution, with an average salary of $122,264 per year, or $58.8 per hour.

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA โ€ข Remote

Full-time

Medical, Dental, Vision, PTO

Posted 21 days ago


Job description

Job Description

AI Backend Engineer, Work From Home

We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform.ย  This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience.ย  This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.ย  We have multiple openings for this position.ย  This position is 100% Remote.

AI Backend Engineer Responsibilities:

- Build and operate backend systems that serve AI-powered insurance workflows in production.

- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.

- Build inference pipelines for LLM-based and AI-assisted automation systems.

- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).

- Design stable service boundaries between backend systems, ML components, and product APIs.

- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.

- Debug production issues across distributed AI systems and resolve root causes.

- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.

- Continuously improve system reliability, scalability, and performance.

AI Backend Engineer Outcomes:

- AI backend systems run reliably at scale with low latency and high availability.

- AI workflows are stable, observable, and production-ready across multiple products.

- System performance improves continuously through real-world feedback and optimization.

- Production incidents are quickly detected, diagnosed, and resolved.

- AI capabilities are seamlessly integrated into global customer and internal workflows.

Qualifications

AI Backend Engineer Qualifications:

- Strong backend engineering experience in production systems.

- Experience building or operating high-throughput, low-latency services.

- Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).

- Experience with distributed systems and production debugging.

- Strong understanding of APIs, data flows, and system design principles.

- Experience with observability tools (logging, monitoring, tracing).

- Strong ownership mindset and bias toward shipping.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:ย  Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:ย  San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an AI Backend Engineer in San Francisco, CA or in other cities?ย  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire AI Backend Engineers for jobs in San Francisco, California and in other cities too.ย  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

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