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Duckdb Jobs in Washington (NOW HIRING)

System One

AI/ML Engineer

Mclean, VA · Remote

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 ...

AEI

(Senior) Data Scientist

Washington, DC · On-site

Strong SQL skills and experience designing and maintaining relational and analytical data systems, using tools such as PostgreSQL, DuckDB, or comparable technologies; * Experience with data ...

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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 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 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 can I do with DuckDB?

As a data analyst or developer, you can use DuckDB to perform efficient in-process SQL queries on large datasets, often within Python or R environments. It supports complex analytical queries, data transformation, and integration with data science workflows, making it suitable for data analysis, machine learning, and reporting tasks.

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 93% Full Time, and 7% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.

Radio Frequency Software Engineer Principal - 1660

Global InfoTek, Inc.

Reston, VA • On-site, Remote

$100K - $240K/yr

Full-time

Re-posted 19 days ago

Job description

Clearance Level: Public Trust (Secret Eligible)
US Citizenship: Required
Job Classification: 1099/Consultant ($150 - $200 per hour)
Location: Remote
Years of Experience: 10+ years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Principal Software Engineer to support Cyber Operations Research and Development as the technical lead for production software development on a passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will own the architecture, implementation, and delivery of the production pipeline - a stream ingestion, rollup, and post-processing system that operates on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. The candidate will lead a small team of senior software engineers, coordinate closely with the program technical lead and AI/ML researchers to drive Cyber Operations software from prototype to production-quality, resource-efficient components deployable on tactical edge hardware. This is a hands-on technical leadership role: the Principal Engineer writes code, makes architecture decisions, and is accountable for pipeline performance and reliability in support of real world cyber operations.
Responsibilities:
  • Own the architecture and implementation of the production software pipeline, including stream ingestion, rollup, database write, and batch post-processing components
  • Lead a team of Senior Software Engineers in support of real world cyber operations; assign work, conduct code reviews, enforce quality standards, and provide technical mentorship
  • Establish and maintain disciplined software engineering practices: versioning, CI/CD pipelines, unit and integration testing, and documentation standards
  • Design and evaluate database and storage architecture for the tactical system and research enclave environments
  • Collaborate with the program technical lead to translate research findings and batch optimization algorithms into production pipeline components
  • Evaluate and benchmark Python pipeline performance on tactical-box-spec hardware; identify bottlenecks and lead porting of mature components to Rust or C for edge deployment
  • Manage and coordinate the tactical system VM environment and stream simulation infrastructure; ensure research VM is not disrupted by development activity
  • Define and enforce stream interface contracts between the ingestion layer, database, and downstream consumers
  • Evaluate emerging technologies (e.g., DuckDB/Parquet, Polars, message queues) against program requirements and recommend adoption decisions to the technical lead
  • Maintain the program's GitLab repository structure, branching strategy, and release management
  • Produce clear technical documentation including architecture decision records, interface specifications, and deployment guides
  • Support technical reviews and provide written inputs for sponsor deliverables as directed by the program technical lead

Expert-level career professional with broad and deep application of software engineering principles across the full development lifecycle. Exercises independent judgment in evaluating methods, techniques, and approaches; identifies and resolves complex technical problems with significant program impact. Provides technical leadership and direction to other engineers. Bachelor's (or equivalent) with 10+ years of experience.
Required Skills:
  • Demonstrated experience leading a software engineering team on a production data pipeline or streaming system; ability to set technical direction and mentor junior engineers
  • Expert-level Python development, including stream processing, multi-threaded/async architectures, and performance profiling
  • Proficiency in one or more compiled or systems languages (Rust, C, C++, or Go) for performance-critical components; experience porting Python to compiled targets
  • Hands-on experience designing and implementing relational database schemas and write-intensive data pipelines (MySQL, PostgreSQL, or equivalent)
  • Experience parsing binary serialization formats such as FlatBuffers or Protocol Buffers in a production context
  • Demonstrated ability to benchmark and optimize pipeline throughput on resource-constrained hardware or cloud environment
  • Strong proficiency with Linux system administration, remote server management via SSH, and air-gapped development environments
  • Experience architecting multi-consumer data systems where a single write path must serve concurrent display, analytics, and batch processing readers
  • Proficient in disciplined software engineering practices: GitLab/Git, CI/CD pipeline design, test-driven development, and code review
  • Excellent written and oral communication skills; ability to produce architecture decision records and technical documentation for both engineering and leadership audiences

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience deploying and operating software on tactical edge hardware co-located with a sensor system
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Polars or DuckDB for high-performance analytical workloads and write-once/read-many storage patterns
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML model inference integration - ability to incorporate batch optimizer outputs into the production pipeline without requiring ML expertise
  • Experience with browser-based data visualization or reporting tools (React, D3, or equivalent) as a consumer of pipeline output
  • Experience with Jupyter Notebooks and research enclave environments; ability to bridge from research prototype to production code
  • Experience with FlatBuffers binary stream replay and simulation infrastructure for pipeline testing
  • Familiarity with Rust toolchain and ecosystem for systems-level development on Linux

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Secure Software Lifecycle Professional (CSSLP); Red Hat Certified Engineer (RHCE); C++ Certified Professional Programmer (CPP); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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