1

Duckdb Jobs in Washington (NOW HIRING)

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.

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.

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.

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.

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.

Experience with analytical or in-memory databases such as DuckDB. * Strong SQL and data-modeling skills. * Experience developing and integrating REST APIs. * Experience with AWS services and SDKs ...

Experience with analytical or in-memory databases such as DuckDB. * Strong SQL and data-modeling skills. * Experience developing and integrating REST APIs. * Experience with AWS services and SDKs ...

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.

Experience with analytical or in-memory databases such as DuckDB. * Strong SQL and data-modeling skills. * Experience developing and integrating REST APIs. * Experience with AWS services and SDKs ...

Showing results 21-40

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 cities in Washington are hiring for Duckdb jobs? Cities in Washington with the most Duckdb job openings:
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.

AI/ML Solutions Architect

System One

Mclean, VA โ€ข Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Job description

Job Title: AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design and implement agentic AI systems that enable autonomous decision-making, workflow orchestration, and mission process optimization—with appropriate guardrails and human oversight.
  • Develop Generative AI applications for summarization, extraction, predictive insights, and conversational interfaces.
  • Build and maintain scalable data pipelines integrating structured and unstructured data to support analytics and AI workloads.
  • Apply advanced statistical and machine learning techniques to decision support and policy/program evaluation.
  • Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking strategies, and retrieval quality optimization.
  • Perform prompt engineering, safety patterns, and defensive design.
  • Integrate knowledge graphs and develop graph-enhanced retrieval solutions.
  • Create and fine-tune embeddings and LLMs to enhance domain performance, accuracy, and robustness.
  • Develop entity graphs using entity resolution techniques to enable graph analytics and improved retrieval.
  • Collaborate across engineering, security, and stakeholder teams to prototype rapidly, iterate responsibly, and deliver mission-ready outcomes.
  • Lead deployment in AWS cloud environments utilizing Infrastructure-as-Code, DevOps/DevSecOps, and operational excellence practices.
  • Own and drive the technical foundation and delivery process for mission AI solutions, including system architecture, tooling, engineering and delivery standards, and hands-on technical leadership.
REQUIREMENTS
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).
  • Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems.
  • Strong Python proficiency and strong SQL skills (data modeling, query optimization).
  • Experience designing and delivering cloud-based AI/ML solutions end-to-end (ingestion, modeling, deployment, monitoring) in secure environments.
  • Hands-on experience with AI application frameworks such as LangChain, Haystack, crewAI, or similar.
  • Strong knowledge of core Python ML/data libraries: NumPy, Pandas, Scikit-learn, NLTK, OpenCV.
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with search technologies such as Elasticsearch or OpenSearch.
  • 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.
  • Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, and related orchestration patterns.
  • Advanced prompt engineering skills for complex reasoning workflows beyond code generation.
  • Experience with asynchronous Python development (asyncio, concurrency, reliability).
  • Experience with MCP servers and tool-calling within agentic workflows (tool governance, security considerations).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-CD1

Ref: #851-Rockville-S1