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Duckdb Jobs in Texas (NOW HIRING)

Catalyst Labs

Tech Lead, Data & Inference Engineer

Dallas, TX · On-site

$113K - $136K/yr

... DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. • Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Preferred : • Strong Node.js skills for ...

Navanta, LLC

Lead Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Trino / Presto / DuckDB CDC & streaming: Debezium (SQL Server CDC, Postgres logical replication), Kafka / Redpanda Orchestration: Dagster (or Airflow) Storage: S3 / MinIO SQL Server and PostgreSQL ...

Navanta, LLC

Lead Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Trino / Presto / DuckDB CDC & streaming: Debezium (SQL Server CDC, Postgres logical replication), Kafka / Redpanda Orchestration: Dagster (or Airflow) Storage: S3 / MinIO SQL Server and PostgreSQL ...

Charles Schwab Inc.

AI Platform Developer

Southlake, TX · On-site

$55.29 - $67.31/hr

Build analytical and BI systems using tools such as dbt, dlt, DuckDB, and cloud-native storage and compute * Enable consistent, trusted data access for Treasury analytics and reporting DevOps & CI/CD

Charles Schwab

AI Platform Developer

Southlake, TX

Build analytical and BI systems using tools such as dbt, dlt, DuckDB, and cloud-native storage and compute * Enable consistent, trusted data access for Treasury analytics and reporting DevOps & CI/CD

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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 Texas?

For Duckdb jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Duckdb jobs in Texas look for?

The top searched job categories for Duckdb jobs in Texas are:

What cities in Texas are hiring for Duckdb jobs?

Cities in Texas with the most Duckdb job openings:

Duckdb jobs near you
Infographic showing various Duckdb job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 96% Full Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Agentic Platform Engineer

Noblesoft Technologies

Austin, TX • On-site

$121K - $160K/yr

Contractor

Re-posted 18 days ago

Job description

Role : Senior Agentic Platform Engineer 
Location :  Austin, TX

Job Type: Contract
Mandatory Skills: React, TypeScript, Python, and/or Node.js , AI-native builder — you use LLMs (Claude, Copilot, etc.) , MCPs, APIs. Salles Operations, CRM
Responsibilities :
"You will build and scale AI-powered solutions across Sales BPR. You turn designed workflows into working solutions — leveraging existing enterprise tools, MCPs, APIs, and AI platforms to assemble and configure what the team needs. You code when needed, but your primary value is knowing what's available and wiring it together effectively. 
 What You'll Do: 
 Build & Prototype: 
 - Assemble AI-powered workflows using existing enterprise tools, MCPs, and APIs
 - Write scripts, automations, and glue code to connect systems and fill gaps 
 - Prototype rapidly — get a working version in front of users fast, then iterate
 Evaluate & Advise 
 - Assess technical feasibility of proposed AI use cases — what's possible with existing tools, what needs IS&T involvement 
 - Evaluate new tools and capabilities as they become available — is it relevant, is it approved, how does it fit? 
 - Know when to build vs. when to escalate to IS&T for platform-level support 
 Integrate & Scale 
 - Turn one-off prompt solutions into reusable, maintained tools 
 - Build and maintain the process repository as a living product 
 - Configure and connect AI solutions to existing BPR and Sales systems
 - Ensure solutions are reliable and handle edge cases - Stay current on the enterprise AI landscape — what IS&T ships, what MCPs are available, what's newly approved 
 
Key Qualifications: 


 - 5+ years in a technical role — solutions engineering, technical consulting, or systems integration 
- Strong understanding of full-stack architecture — frontend, backend, APIs, databases. You know how applications are structured and how the pieces connect. 
 - Proficient with React, TypeScript, Python, and/or Node.js — you can read, debug, and modify code confidently 
 - Effective AI-native builder — you use LLMs (Claude, Copilot, etc.) to write code, and you know how to prompt, evaluate output, and iterate until it's right 
 - Experience integrating with LLMs/AI in applications — API calls, handling responses, building AI-powered features 
 - UX sensibility — you build things that look and feel good, not just things that work 
 - Self-directed problem solver — given an unfamiliar infrastructure, you figure it out 
 - Strong understanding of APIs, data flows, and how enterprise systems connect 
 - Able to navigate and leverage existing platforms — MCPs, enterprise AI tools, internal tooling — without needing to build them from scratch 
 - Can translate between technical and business audiences 
 - Strong prototyping mindset — ship fast, iterate, don't over-engineer 
 - Self-directed and comfortable with ambiguity 
 

Preferred: 
  - Experience assembling solutions in large enterprise environments with existing tool ecosystems 
 - Familiarity with data analysis tools (SQL, DuckDB, pandas) for workflow automation
 - Background in Sales Operations, CRM, or enterprise business systems"