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Duckdb Jobs (NOW HIRING)

Data Architect - Active Metadata

$65.25 - $84/hr

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

Build analytical systems using tools such as dbt, dlt, DuckDB, and Cloud-native storage and compute * Enable consistent, trusted data access for Treasury analytics AI & Advanced Analytics * Enable AI ...

Account Executive

Seattle, WA · 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 ...

Senior Data Engineer

New York, NY · On-site

$165K - $230K/yr

Python, Dagster, DuckDB, Postgres * Pipelines at scale : Building resilient ELT/ETL with strong contracts, idempotency, and lineage. * Data operations : Set quality bars, manage BPO workflows, and ...

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 ...

Experience with gRPC / ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment. * Strong CS fundamentals; Bachelor's degree in Computer Science, Software ...

Account Executive

New York, NY · 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 ...

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 ...

Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast ...

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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.
More about Duckdb jobs
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What states have the most Duckdb jobs? States with the most job openings for Duckdb jobs include:
Data Architect - Active Metadata

$65.25 - $84/hr

Full-time

Posted 2 days ago


Job description

Job Summary:
i-Link Solutions is seeking a visionary Data Architect to create a Self-Healing, Autonomous Data Fabric. The role involves replacing legacy ETL systems with innovative solutions focused on active metadata and computational governance.
Responsibilities:
• Architect a Self-Healing, Autonomous Data Fabric.
• Replace legacy ETL with a 'nervous system' where metadata is active, governance is computational, and data sharing is zero-copy.
Qualifications:
Required:
• Experience: 12+ Years
• Active Metadata: Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair).
• Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning.
• Production-level Open Policy Agent (OPA)/ Policy-as-Code(Zero-Trust) for dynamic, context-aware access control.
• Advanced Privacy: Implementation of Homomorphic Encryption (FHE) or SMPC for analytics on encrypted PII.
• Zero-Copy Architecture: Expertise in Delta Sharing for cross-cloud analytics without egress.
• Compute: Trino (GraalVM), StarRocks, DuckDB (WASM).
• Orchestration: Dagster, Airflow (Provider-level).
• Semantic Layer: Stardog, Apache Jena, GraphQL Federation.
• System Languages: Rust, Clojure, or Java.
• Education: M.S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics.
Company:
i-Link Solutions, Inc. (i-Link) is an enterprise modernization firm that develops and delivers high-quality solutions. Founded in 2002, the company is headquartered in Herndon, USA, with a team of 51-200 employees. The company is currently Growth Stage.