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Duckdb Jobs in California (NOW HIRING)

Doxel Inc.

Backend Software Engineer

San Francisco, CA · On-site

$150 - $200/hr

Traditional data processing and analytics, once confined to server infrastructure, have now extended into the browser analytically with DuckDb, and visually with Three.js. This shift enables powerful ...

Straia

Full-Stack Software Engineer

San Francisco, CA · On-site

$150 - $180/hr

Experience with analytical or columnar databases (DuckDB, BigQuery) is a strong plus. * Curious about AI integration -- You don't need to be an ML engineer, but you're excited to integrate LLMs and ...

Spiral

Software Engineer - Systems

San Francisco, CA · On-site

$200K - $275K/yr

Familiarity with tools like Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB is a plus * Understanding of cutting-edge ML infrastructure stack (e.g. PyTorch, CUDA) is also a plus * Experience ...

Spiral

Software Engineer - Systems

San Francisco, CA · On-site

$140 - $190/hr

Familiarity with tools like Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB is a plus * Understanding of cutting-edge ML infrastructure stack (e.g. PyTorch, CUDA) is also a plus * Experience ...

Spiral

Software Engineer - Systems

San Francisco, CA · On-site

$203K - $241K/yr

Familiarity with tools like Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB is a plus * Understanding of cutting-edge ML infrastructure stack (e.g. PyTorch, CUDA) is also a plus * Experience ...

Madrona Venture Labs

Fullstack Engineer

San Francisco, CA · On-site

$140 - $190/hr

Familiarity with a variety of databases like Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc About you * Team player : you bring positivity, openness, and curiosity to the team every day.

MotherDuck

Account Executive

San Francisco, CA · On-site

$175K - $260K/yr

We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was ...

Straia

Senior Backend Engineer

San Francisco, CA · On-site

$160 - $225/hr

Postgres + DuckDB for fast queries * LLM Integration: GPT, Gemini, Claude via API * Cloud & Infra: Hosted on GCP What We Offer * Compensation: $160K-$225K + equity * Location: San Francisco (in ...

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Duckdb information

What is DuckDB?

DuckDB is an in-process SQL OLAP (Online Analytical Processing) database management system designed for fast analytical data processing. Unlike traditional client-server databases, DuckDB runs directly within your application and works well with data science tools and workflows. It is lightweight, easy to install, and supports SQL queries on data stored in CSV, Parquet, and other formats, making it popular for data analysis and research use cases.

What are some common challenges faced by professionals working with DuckDB in data engineering roles?

Professionals using DuckDB in data engineering often encounter challenges such as optimizing query performance for large-scale datasets, integrating DuckDB with existing data pipelines, and ensuring compatibility with various data formats and sources. Additionally, since DuckDB is relatively new compared to other database systems, users may find limited community support or resources for advanced use cases. Collaborating with data scientists and analysts is key, as DuckDB is often used for interactive analytics, requiring close communication to tailor solutions that meet both performance and usability needs.

What are the key skills and qualifications needed to thrive as a DuckDB developer, and why are they important?

To thrive as a DuckDB Developer, you need strong SQL proficiency, a background in database management, and experience with analytical data processing, ideally supported by a degree in computer science or a related field. Familiarity with DuckDB, data integration tools, and programming languages such as Python or R is essential. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills in this role. These skills ensure efficient data analysis, seamless database integration, and the ability to convey insights to technical and non-technical stakeholders.

What is the difference between Duckdb vs Data Analyst?

AspectDuckdbData Analyst
Primary RoleEmbedded analytical database engine for data processingInterprets data, creates reports, and provides insights
Required SkillsSQL, data management, database integrationData visualization, statistical analysis, SQL
Work EnvironmentDevelopers, data engineers, embedded systemsBusiness environments, analytics teams, offices
CertificationsNone specific, SQL knowledge preferredCertified Data Analyst, SQL certifications

Duckdb is a database engine used mainly by developers and data engineers for embedded data processing, while Data Analysts focus on interpreting data and generating insights. Both roles require SQL skills, but their work environments and objectives differ significantly.

What can I do with DuckDB?

As a data analyst or developer, you can use DuckDB to perform efficient in-process SQL queries on large datasets, often within Python or R environments. It supports complex analytical queries, data transformation, and integration with data science workflows, making it suitable for data analysis, machine learning, and reporting tasks.

What are popular job titles related to Duckdb jobs in California?

For Duckdb jobs in California, the most frequently searched job titles are:

What job categories do people searching Duckdb jobs in California look for?

The top searched job categories for Duckdb jobs in California are:

What cities in California are hiring for Duckdb jobs?

Cities in California with the most Duckdb job openings:

Duckdb jobs near you
Infographic showing various Duckdb job openings in California as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Founding Engineer - Platform/Infra/Devops

HRB

San Francisco, CA • On-site

$150 - $230/hr

Other

Posted 4 days ago

Job description

"Would love someone with more experience working in and out of cloud infra, DevOps, secops, etc. Someone who wants ownership of the infra stack for the company"

What are we building?

Greybeam is building a way for companies orchestrate their SQL queries between data warehouses and external query engines, automatically selecting the best engine to either 10x performance or 10x query cost reduction (and often both!). Today, We're routing queries between Snowflake and DuckDB, into the future we plan to include Trino, ClickHouse, StarRocks, etc.

Our vision is to build the destination for data processing-a compute platform that automatically assigns and provisions the best compute engine for each workload.

What's it like working with us?

We're fun, easy going, and we joke around a lot. But we also work a ton and expect you to put your passion, grit, and dedication into all the work that you'll do. You are an early employee and everything you do has outsized impact. We're building a highly technical product that is paving the road into data 3.0, and we would love to work with people who are as passionate and driven about unlocking the multi-engine dream as we are.

We'll laugh together, eat together, work together, and most important of all, we'll have a ton of fun delivering a fricken amazing product to our customers together

Role Description

looking for a Founding Engineer to join our Platform and Infrastructure team to build out our cloud platform. As a founding engineer, you will work directly with the co-founders to design and develop a platform that supports multiple data storage and processing technologies, including Snowflake, DuckDB, Trino, and ClickHouse.

This is a full-time, in-person role in SF where you will have the opportunity to contribute to the company's technology from the ground up and take ownership of key technical milestones.

You are perfect for this role if you:

You are a platform engineer with experience in platform, infrastructure, and networking.

You may be working on:
  • Service meshes like Istio and Envoy, with a strong grasp of traffic management and observability
  • Implement applications in private/public cloud infrastructure and container technologies like Kubernetes and Docker
  • Run our infrastructure with (Chef, Ansible, Terraform, Kubernetes, etc.)
  • Manage, configure and troubleshoot operating system issues, storage (block, object, etc.), networking (VPCs, proxies, CDNs, etc.), and administer high-availability (DuckDB, PostgreSQL, Redis, etc.) clusters
  • Build and support CI/CD platforms, automate repeatable infrastructure needs, environment buildout, software build and releases, create automated solutions, install and configure application software, and upkeep systems through patching, upgrades, monitoring, and maintenance support
  • Design and build CI/CD pipeline with tools such as (Terraform, CloudFormation, Ansible, Kubernetes toolsets, etc.)
Experiences that will help you excel
  • Experience deploying and managing Kubernetes
  • Experience working with (AWS, GCP, Azure, etc.) in a production environment
  • Expertise with Infrastructure-as-Code with (CloudFormation, Terraform, etc.)
  • Experience with configuration management systems like (Ansible, Chef, Puppet, etc.)
  • Experience with networking load balancers such as (Nginx, Netscaler, HAProxy, etc.)
  • Have an urge to document all the things so you don't need to learn the same thing twice
  • When you see something broken, you can't help but fix it
  • Startups and being an early stage employee
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