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Duckdb Jobs in Texas (NOW HIRING)

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 ...

Senior Data Engineer ID75059

Dallas, TX · On-site

$104K - $142K/yr

... DuckDB ; - 2+ years of experience with Big Data technologies ( Spark , Snowflake ); - Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools; - Deep ...

Senior Data Engineer ID75059

Houston, TX · On-site

$101K - $137K/yr

... DuckDB ; - 2+ years of experience with Big Data technologies ( Spark , Snowflake ); - Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools; - Deep ...

Senior Data Engineer ID75059

Austin, TX · On-site

$105K - $142K/yr

... DuckDB ; - 2+ years of experience with Big Data technologies ( Spark , Snowflake ); - Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools; - Deep ...

Senior Data Engineer ID75059

Texas City, TX · On-site

$90K - $123K/yr

... DuckDB ; - 2+ years of experience with Big Data technologies ( Spark , Snowflake ); - Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools; - Deep ...

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 cities in Texas are hiring for Duckdb jobs?

Cities in Texas with the most Duckdb job openings:

Infographic showing various Duckdb job openings in Texas as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Principal Systems Engineer - Internal GTM Tools

Jobtailor

Austin, TX • On-site

$210 - $280/hr

Other

Posted 16 days ago


Job description

You'll own the GTM-facing software and data products our sales motion runs on, end to end.
That includes the data foundation underneath it and the signals that flag which accounts a rep should act on and when.
You'll also lead our hardest cross-functional projects, the ones that span many teams and systems.
You'll drive them to delivery, keep partner teams on track, and do it with a lot of autonomy.
Day to day you'll improve how we visualize pipeline, build sales tools that flag the right moment to reach out to a customer, and make the developer buying journey smoother.
The work is a mix of data engineering, full-stack product, and applied AI, and you'll build it on Cloudflare's own developer platform.
This role fits someone who works well in a fast-paced, ambiguous environment, likes turning messy business problems into working software, and can juggle several priorities at once.

Requirements
  • 10+ years of software engineering experience with a demonstrated history of leading complex, organization-wide data initiatives.
  • Deep expertise in building distributed systems and production infrastructure at scale, with proficiency in Go and strong working knowledge of TypeScript.
  • Exceptional ability to navigate ambiguous problem spaces, identify the highest-impact technical work, and drive projects autonomously from conception through adoption—balancing pragmatic execution with long-term technical excellence.
  • Deep analytical SQL and data modeling experience. Proven ability to manage complexity even at thousands of tables.
  • Able to debug database and query performance issues using profiling tools and source code where applicable.
  • Please be prepared to discuss specific examples of organization-wide technical initiatives you've led, particularly distributed systems or data infrastructure and their measurable business impact.
  • Previous experience as a Principal Engineer, Staff+ engineer, or technical leader on platform, infrastructure, or task force teams that operate outside traditional product roadmaps with a focus on enabling GTM organizations.
  • Columnar/OLAP or lakehouse experience (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg, Starrocks).
  • Familiarity with the Salesforce data model and CRM/API integrations.
  • Familiarity with deploying to bare metal and Kubernetes.
  • Experience on Cloudflare Workers / edge platforms and analytics-engineering (dbt) workflows.
  • Background in SaaS or product-led growth (PLG) GTM motions.
Core Competencies

Demonstrates extensive experience in leading complex data initiatives and building distributed systems at scale, with a strong focus on data engineering and full-stack product development. Proficient in navigating ambiguous problem spaces and driving projects autonomously while balancing execution and technical excellence.

Highest-signal resume keywords
  • Software Engineering Experience
  • Distributed Systems Expertise
  • Proficiency in Go
  • Analytical SQL and Data Modeling
  • Experience with Cloudflare Workers
ATS Optimization KeywordsHard Skills
  • Go
  • TypeScript
  • SQL
  • Data Modeling
  • Debugging Database Performance
  • Distributed Systems
  • Cloudflare Workers
  • OLAP Experience
  • Kubernetes
  • Analytics Engineering
Soft Skills
  • Autonomous Project Management
  • Problem-Solving
  • Cross-Functional Collaboration
  • Adaptability
  • Communication
Industry Keywords
  • SaaS
  • Product-Led Growth
  • GTM Motions
  • Data Infrastructure
  • Technical Leadership
Tools & Technologies
  • ClickHouse
  • DuckDB
  • BigQuery
  • Snowflake
  • Iceberg
  • Starrocks
  • Salesforce
  • CRM Integrations
  • Bare Metal Deployment
  • Dbt
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