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Duckdb Jobs in Washington (NOW HIRING)

Reflexive Concepts

Cloud Software Engineer III

Laurel, MD · On-site

$59.50 - $77.25/hr

Databases - Postgres, neo4j, click-house, accumulo, mongo-db, sql-lite, duckDB * Operating Systems - Linux (RHEL 8), Windows * Experience working with LLMs Desired Skills: * Experience with Claude ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB). * Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB). * Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB). * Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.

System One

Be Seen First

AI/ML Solutions Architect

Mclean, VA · Remote

$130K - $216K/yr

... DuckDB). · Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services. · Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, and ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB). * Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB). * Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB). * Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.

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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 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.

What can I do with DuckDB?

DuckDB is an embedded analytical database engine used for data analysis, querying large datasets efficiently, and integrating with data science workflows. It supports SQL queries, works with programming languages like Python and R, and is suitable for data exploration, reporting, and building data pipelines. Job roles involving DuckDB often require knowledge of SQL, data analysis, and database management.
What are popular job titles related to Duckdb jobs in Washington? For Duckdb jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Duckdb jobs in Washington look for? The top searched job categories for Duckdb jobs in Washington are:
What cities in Washington are hiring for Duckdb jobs? Cities in Washington with the most Duckdb job openings:
Duckdb jobs near you
Infographic showing various Duckdb job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Senior Applications Developer with R programming(Modernization)/Washington, D.C

Apetan Consulting llc

Washington, DC • On-site

$80 - $150/hr

Contractor

Posted 23 days ago

Job description

Client Note: -  Can accept candidates without FAME experience if they have worked with a different time-series data ecosystem. However, R programming experience is a must-have. DuckDB is required as well but if a candidate has worked with SQLite for analytics he would be willing to consider that.
Senior Applications Developer with R programming(Modernization)
Location: Washington, D.C.( Relocation will work 2-3 hour distance)
US Citizenship: Required
The Industrial Output section within the Federal Reserve Board’s Division of Research and Statistics seeks a Senior Developer to lead a critical technical modernization of the monthly G.17 statistical release (Industrial Production and Capacity Utilization).
You will help transition our core data infrastructure from legacy FAME database software to a modern stack (Python, R, SQL, and DuckDB) while ensuring seamless monthly production.
Interview: Final round will be in-person
Key Responsibilities
Modernize Infrastructure: Transition legacy database storage and code to robust, modern pipelines.
Bridge Tech Eras: Master FAME coding to safely reverse-engineer and refactor code into Python and R.
Collaborate: Partner with economists, data engineers, and IT on file transfers and validation.


Requirements
Experience: 7+ years in software development (SDLC).
Tech Stack: Strong Python, R; familiarity with SQL-based systems or DuckDB. FAME is a major plus.
Mindset: Open to emerging tech (including AI coding assistants) balanced with an unwavering commitment to data accuracy and tight monthly deadlines.
Education: Bachelor’s in CS, Economics, Physics, or a related quantitative field.