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Remote Database Developer Jobs in Spring Valley, CA

Teradata

Database Internals Engineer - 220382

San Diego, CA · On-site +1

$101K - $127K/yr

Database Internals Engineer - Next-Gen Parallel Compute Engine Our Company At Teradata, we believe that people thrive when empowered with better information. Teradata's Autonomous Knowledge Platform ...

Axos Bank

Sr. Database Administrator

San Diego, CA · On-site +1

$120K - $145K/yr

This role combines strong database administration expertise with modern data engineering ... San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ...

TEAM

Full Stack Developer

San Diego, CA · On-site +1

Job type: Full Time / Hybrid (2 days remote, 3 days in office) Location: 3131 Camino del Rio N, Ste ... Design and implement database queries in MS SQL, Cosmos DB, and Snowflake * Support integrations ...

Procede Software

Software Developer

Solana Beach, CA · On-site +1

$120K - $180K/yr

Experience with relational and non-relational database design, querying, and managed cloud database ... Hybrid work schedule Location and Compensation This is a hybrid-remote role; candidates based in ...

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All JobsDatabase Developer JobsRemote Database Developer JobsRemote Database Developer Jobs in Spring Valley, CA

Remote Database Developer information

See Spring Valley, CA salary details

$27

$54

$82

How much do remote database developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote database developer in Spring Valley, CA is $54.35, according to ZipRecruiter salary data. Most workers in this role earn between $44.52 and $61.49 per hour, depending on experience, location, and employer.

What Does a Remote Database Developer Do?

A database developer or programmer creates and implements computer databases that store and maintain an entity’s data information. You work with clients to identify the best database management software and test the application or program for performance and efficiency. Your responsibilities include designing information systems to meet the needs of the client, testing product performance, performing data analysis, and developing documentation from your analysis. In some cases, you may also train or teach other developers or client teams. As a remote developer, you may complete your duties on your own or as part of a remote team for a corporate client or employer.

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

To thrive as a Remote Database Developer, you need strong expertise in database design, SQL programming, and data modeling, usually supported by a degree in computer science or a related field. Familiarity with database management systems like MySQL, PostgreSQL, or Microsoft SQL Server, and certifications such as Microsoft Certified: Azure Database Administrator Associate, are highly valuable. Excellent problem-solving, communication, and self-management skills help you collaborate effectively and deliver solutions in a remote environment. These skills ensure secure, efficient, and reliable database solutions that meet organizational needs while supporting independent work and remote teamwork.

What is the difference between Remote Database Developer vs Remote Data Analyst?

AspectRemote Database DeveloperRemote Data Analyst
Required CredentialsBachelor's in Computer Science or related field, SQL certificationsBachelor's in Statistics, Data Science, or related field, SQL and data analysis certifications
Work EnvironmentDeveloping, maintaining, and optimizing databases remotelyAnalyzing data sets, creating reports, and providing insights remotely
Employer & Industry UsageTech companies, finance, healthcare, e-commerce

Remote Database Developers focus on designing and managing databases, requiring technical skills and certifications. Remote Data Analysts interpret data to support business decisions. While both roles often work remotely and require SQL knowledge, their core responsibilities differ: development vs analysis.

What is a Remote Database Developer?

A Remote Database Developer is a technology professional who designs, creates, and maintains database systems while working from a remote location, rather than in a traditional office setting. Their responsibilities include developing database structures, optimizing queries, ensuring data integrity, and implementing security measures. They often collaborate with software developers and IT teams to ensure databases are efficient and meet organizational requirements. Remote work allows them to perform these tasks using cloud-based tools and secure connections, providing flexibility for both employers and employees.

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

Remote database developers often encounter challenges such as coordinating with distributed teams, managing secure access to sensitive data, and troubleshooting issues without on-site support. To overcome these, it's important to establish clear communication channels, use secure VPNs and authentication protocols, and leverage collaborative tools like version control and ticketing systems. Regular check-ins and thorough documentation also help ensure everyone stays aligned and project progress remains smooth.
More about Remote Database Developer jobs
What cities near Spring Valley, CA are hiring for Remote Database Developer jobs? Cities near Spring Valley, CA with the most Remote Database Developer job openings:
Remote Database Developer jobs near you
Infographic showing various Remote Database Developer job openings in Spring Valley, CA as of July 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $113,049 per year, or $54.4 per hour.
Senior Director, Agentic Database Engineering - 220372

Senior Director, Agentic Database Engineering - 220372

Teradata

San Diego, CA • On-site, Remote

$112K - $152K/yr

Full-time

Posted 28 days ago

Job description

ABOUT THE ROLE
Teradata is building the missing data layer for production AI agents - and this role leads that effort. As Senior Director of Agentic Database Engineering, you will own the technical architecture and delivery of Teradata's Agentic Database: a converged operational database purpose-built to power enterprise-grade AI agents at scale.
You will translate a well-defined product strategy into shipping software, leading an engineering organization responsible for five production-critical Agent Services: Semantic Context Layer, Agent Memory, LLM Cache, Agent Tracer, and Elastic/Ephemeral Compute. You will work directly with the PM and Engg leadership teams to execute a build/OEM/acquire decision and deliver a 2026 early-access launch.
This is a defining infrastructure role at the intersection of Postgres, vector retrieval, agentic AI, and governed enterprise data - inside a company whose decades of trusted enterprise context is an asset no competitor can quickly replicate.
WHY THIS ROLE MATTERS
McKinsey reports that fewer than 10% of enterprises have scaled AI agents to tangible value, with 80% citing data limitations as the primary barrier. Traditional architectures were not designed for the semantic context, durable state, semantic caching, and runtime traceability that production agents require. This role closes that gap and helps build an engine for the same.
WHAT YOU WILL BUILD
You will architect and deliver a foundational data engine layer that forms the Teradata Agentic Database capabilities:
  • Agent Memory - durable short- and long-term memory for conversations, session state, checkpoints, and shared context, enabling reliable multi-agent coordination and warm-start recovery.
  • LLM Cache - semantic similarity caching that eliminates redundant LLM calls on repeated agent queries, reducing token costs and response latency at scale.
  • Agent Tracer - end-to-end observability across every prompt, tool call, and hand-off, with a lineage graph that makes agentic decision-making explainable and auditable.

KEY RESPONSIBILITIES
TECHNICAL LEADERSHIP & ARCHITECTURE
  • Define and own the end-to-end technical architecture of the Teradata Agentic Database, establishing Postgres as the operational foundation with pgvector, HNSW, full-text search, JSONB, MVCC, CDC pipelines, and serverless branching.
  • Design and validate a reference architecture against live customer workloads

TEAM BUILDING & ORGANIZATIONAL LEADERSHIP
  • Recruit, hire, and develop a high-performing senior engineering organization specializing in serverless databases, vector retrieval, agent frameworks, and distributed systems.
  • Set engineering culture: high technical bar, production-first discipline, clear velocity targets, and tight product-engineering partnership.
  • Lead engineering managers and individual contributors across multiple concurrent workstreams on an aggressive 2026 launch timeline.

PRODUCT-ENGINEERING EXECUTION
  • Partner with Product Management to translate the Agentic Database PRD into a phased engineering roadmap with milestones
  • Drive engineering decisions informed by the three core personas: Agent Developer, Data Architect, and Admin - prioritizing concurrency, governed access, production reliability, and observability.
  • Own architecture choices for agentic workload patterns: bursty parallelism, branch-on-demand isolation, LLM-generated SQL safety, stateful session continuity, and warm-start performance.

ECOSYSTEM & PLATFORM INTEGRATION
  • Integrate the Agentic Database with Teradata Fabric, Teradata Context Engine, and the Enterprise MCP/AgentStack platform, enabling seamless analytical and operational query capabilities on a single governed platform.
  • Build CDC pipelines between the operational Postgres layer and Teradata's OLAP analytics engine for unified query coverage.
  • Ensure compatibility with leading agentic frameworks - LangChain, LangGraph, OpenAI Agents SDK, AutoGen - and the MCP tooling ecosystem.

REQUIRED QUALIFICATIONS
CORE OLTP & DATABASE ENGINEERING
  • Deep expertise in relational database internals: query optimizer design (cost-based planning, statistics, cardinality estimation, join ordering), storage engines, buffer pool management, and transaction processing.
  • Hands-on experience building or extending a production OLTP database engine - Postgres, MySQL, or equivalent - including WAL, MVCC, lock management, and recovery subsystems.
  • Proficiency with Postgres internals and extensions: pgvector, pg_trgm, custom access methods, index types (HNSW, IVFFlat, GIN, BRIN, GIST), and connection pooling (PgBouncer, Pgpool-II).
  • Experience with serverless database architectures, copy-on-write branching, and scale-to-zero compute - including familiarity with Neon, Supabase, PlanetScale, or equivalent platforms.
  • Strong command of distributed systems fundamentals: consensus protocols, replication topologies, isolation levels, CDC, and exactly-once semantics.

LEADERSHIP & DELIVERY
  • 20+ years of engineering experience, including 10+ years leading senior engineering teams building and operating production data systems at enterprise scale.
  • Track record shipping production database or data infrastructure products to enterprise customers under strict governance, compliance, and SLA requirements.
  • Proven ability to recruit, retain, and grow senior-level engineering talent in a competitive market.
  • Executive-level communication skills: able to distill complex architectural trade-offs into clear board-level narratives, written and verbal.

AI & AGENTIC WORKLOADS
  • Production experience with vector retrieval systems (pgvector, Pinecone, Weaviate, Qdrant) for RAG, semantic search, or LLM caching applications.
  • Familiarity with agent orchestration frameworks - LangChain, LangGraph, OpenAI Agents SDK, AutoGen - and the Model Context Protocol (MCP) ecosystem.
  • Practical understanding of agentic workload patterns: bursty parallelism, stateful session continuity, LLM-generated SQL safety, and branch-on-demand isolation.

PREFERRED QUALIFICATIONS
  • Prior experience at a database startup or as a founding/senior engineer leader of a data infrastructure product.
  • Background in enterprise data warehousing, OLAP systems, or hybrid OLTP/OLAP architectures.
  • Bachelors, Masters, or PhD in Computer Science
  • Deep, expert knowledge of Postgres (WAL, extensions, configuration, replication, etc) and/or other OLTP (SQL/NoSQL) systems
  • Comfortable navigating large, complex codebases and leading cross-team architecture efforts.
  • A track record of driving projects from concept to production with measurable impact.
  • Excellent communication skills and the ability to influence across engineering and product organizations.

ABOUT TERADATA
Teradata is the cloud analytics and data platform company that powers the enterprise intelligence behind the world's most demanding workloads. With decades of governed enterprise data, a True Hybrid Multi-Cloud architecture spanning AWS, Azure, and GCP, and the industry's deepest expertise in large-scale analytical SQL, Teradata is uniquely positioned to become the production data infrastructure for enterprise AI agents. The Agentic Database initiative is a company-defining investment - and this role sits at its center.
Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.

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