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Duckdb Jobs (NOW HIRING)

Billee.AI

Senior Data Engineer

Dallas, TX · Remote

$108K - $147K/yr

MotherDuck / DuckDB * Orchestration: Dagster * Transformation: DBT * Language: Python, SQL * Cloud: Azure * Adjacent: Hex, MCP Requirements * 4+ years in data platform engineering. Bonus if you've ...

MotherDuck

Customer Engineer

New York, NY · On-site

$150K - $240K/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 ...

MotherDuck

Software Engineer - Backend

Seattle, WA · On-site

$140K - $250K/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 ...

Spiral

Software Engineer - Systems

New York, NY · 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

$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 ...

TMS

Data Architect - Active Metadata

Menlo Park, CA · Remote

$90 - $95/hr

Trino (GraalVM), StarRocks, DuckDB (WASM). - Orchestration: Dagster, Airflow (Provider-level). - Semantic Layer: Stardog, Apache Jena, GraphQL Federation. - System Languages: Rust, Clojure, or Java.

Royal Caribbean Group

IT Product Owner

Miami, FL · On-site

DuckDB * Develop lightweight APIs and services using FastAPI * Optimize data processing and performance for large datasets * Troubleshoot and debug technical issues across the stack 2. Product ...

Credo

Senior Software Engineer

San Jose, CA · On-site

$143K - $189K/yr

Required : • Bachelor's degree in computer science • 6+ years experience with Python + related data science stack • Strong database knowledge especially OLAP systems such as duckdb, clickhouse ...

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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.

Is DuckDB a real database?

DuckDB is a real open-source database management system designed for analytical queries and data processing. It is often used by data analysts and developers for embedded analytics and supports SQL for data manipulation. As a lightweight, serverless database, it can be integrated into various environments for efficient data analysis.

What language does DuckDB use?

DuckDB is primarily written in C++ and provides APIs for languages such as Python, R, and Java, allowing integration with various data analysis tools. Developers working with DuckDB should be familiar with SQL for querying and may also use the supported programming languages for embedding and automation.

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 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 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.

Is DuckDB paid?

DuckDB is an open-source database management system that is free to use and distribute. There are no costs associated with downloading or deploying DuckDB, making it accessible for individual and commercial projects without licensing fees.

What can I do with DuckDB?

DuckDB is an embedded analytical database engine often used by data analysts and developers for running complex queries on large datasets locally or within applications. It supports SQL and integrates with programming languages like Python and R, enabling data analysis, data transformation, and reporting tasks efficiently. Users can leverage DuckDB for data exploration, machine learning workflows, and building data pipelines in various environments.
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Duckdb jobs near you

Senior Data Engineer

Billee.AI

Dallas, TX • Remote

$108K - $147K/yr

Full-time

Posted 5 days ago

Job description

Senior Data Engineer 

At Billee, we’re building the next generation of utility billing. Our goal is simple: make a complex, manual, and fragmented process feel seamless, transparent, and intelligent.

Our intelligence platform turns raw utility and billing data into actionable intelligence and regulatory peace of mind for multifamily property operators. Our platform is past the "greenfield" phase — foundational modeling is underway, our stack is chosen, and the roadmap is set. We're hiring our second dedicated data engineer to partner with our existing data engineer and help us move from foundation to scale.

What you'll work on
  • Reporting & analytics. Contribute to the modeled data and pipelines behind customer-facing reports on consumption, cost, and rate trends.
  • AI-ready data infrastructure. Ingestion, semantic models, storage solutions, and retrieval (SQL, RAG, vector, or graph-based.)
  • Dimensional modeling at the core. Contribute robust facts and dimensions that power analysis us and for our customers.
  • Platform reliability. Own testing, lineage, freshness monitoring, and alerting so data issues are caught before a customer sees them.
  • Cross-team partnership. Translate vague product and compliance questions into concrete models, working directly with engineers, analysts, and PMs.
Our stack
  • Warehouse: MotherDuck / DuckDB
  • Orchestration: Dagster
  • Transformation: DBT
  • Language: Python, SQL
  • Cloud: Azure
  • Adjacent: Hex, MCP
Requirements
  • 4+ years in data platform engineering. Bonus if you've been a primary builder on a platform from early stages.
  • Strong Python and SQL.
  • Hands-on DBT experience.
  • Dimensional modeling fluency. Star schemas, facts and dimensions
  • Direct experience with our stack is a significant plus. In order of preference:
    • Dagster (asset-based orchestration, sensors, partitions) — strongly preferred over Airflow experience alone
    • DuckDB or MotherDuck — even side-project or exploratory use
  • Comfort analyzing data directly.
Bonus
  • Experience with AI/LLM-adjacent data work: RAG pipelines, embedding stores, evaluation frameworks (e.g. LangSmith or PydanticAI), or knowledge-graph approaches for structured retrieval
  • Azure experience
  • Utility, energy, PropTech, or billing domain background
  • Experience building data products for external customers (not just internal BI)
Who we're looking for
  • Collaborative builder. You turn vague requirements into concrete solutions by asking good questions, not by guessing.
  • Comfortable with ambiguity. Our roadmap shifts; you can prioritize and make progress on incomplete information.
  • Ownership mindset. You treat the platform as a product — monitoring and proactive thinking about future needs
  • Quality advocate. You believe tests, observability, and lineage are features, not overhead.
  • Curious about new tooling. You've been watching the modern data stack evolve and have opinions — about DuckDB, about Dagster vs. Airflow, about where LLMs do and don't belong in data pipelines.
  • No-task-too-small mindset. Small team, lots of surface area. You'll occasionally build a quick report or debug someone else's pipeline

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