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Duckdb Jobs (NOW HIRING)

Billee Technologies, Inc

Senior Data Engineer

Dallas, TX · On-site +1

$98.20K - $133.40K/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

Manhattan, NY · On-site

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 ...

Zoox

Software Engineer, Analytics Platform

Seattle, WA · On-site

$175K - $230K/yr

The team has been developing Zoox's schedule-based and event-based data processing platforms, using technologies such as Spark (AWS EMR) and DuckDB, enabling multiple teams to transform several PBs ...

Billee.AI

Senior Data Engineer

Dallas, TX · Remote

$108.50K - $147.40K/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 ...

Zoox

Software Engineer, Analytics Platform

Seattle, WA

$175K - $230K/yr

The team has been developing Zoox's schedule-based and event-based data processing platforms, using technologies such as Spark (AWS EMR) and DuckDB, enabling multiple teams to transform several PBs ...

Air Inc

... DuckDB, dbt) is a plus What You'll Do: - Design, build, and own AI agents, product UX, and backend APIs - Collaborate directly with founders and customers - Ship features end-to-end with a focus on ...

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 ...

Tekwissen

Sr AI Platform Engineer

Bellevue, WA · On-site

The team has already proven a sub-millisecond serving pattern (an embedded DuckDB cache fronted by FastAPI, kept fresh by Delta Change Data Feed sync from the Lakehouse) and is now scaling it across ...

Tekwissen

Sr AI Platform Engineer

Atlanta, GA · On-site

The team has already proven a sub-millisecond serving pattern (an embedded DuckDB cache fronted by FastAPI, kept fresh by Delta Change Data Feed sync from the Lakehouse) and is now scaling it across ...

MotherDuck

Software Engineer - Backend

Seattle, WA · On-site

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 ...

Air

... DuckDB, dbt) is a plus What You'll Do: - Design, build, and own AI agents, product UX, and backend APIs - Collaborate directly with founders and customers - Ship features end-to-end with a focus on ...

Air

... DuckDB, dbt, etc.) is a plus - Ability to thrive in ambiguity with high autonomy What You'll Do: - Design, build, and own AI agents, product UX, and backend APIs - Collaborate directly with founders ...

Connect Tech+Talent

Data Architect

Menlo Park, CA · Remote

$75.25 - $96.75/hr

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

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Duckdb information

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 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 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 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 cities are hiring for Duckdb jobs? Cities with the most Duckdb job openings:
What states have the most Duckdb jobs? States with the most job openings for Duckdb jobs include:
What job categories do people searching Duckdb jobs look for? The top searched job categories for Duckdb jobs are:
Duckdb jobs near you
Infographic showing various Duckdb job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Billee Technologies, Inc

Dallas, TX • On-site, Remote

$98.20K - $133.40K/yr

Full-time

Posted 15 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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