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Duckdb Jobs in Texas (NOW HIRING)

Billee Technologies, Inc

Senior Data Engineer

Dallas, TX · On-site +1

$98K - $133K/yr

MotherDuck / DuckDB * Orchestration: Dagster * Transformation: DBT * Language: Python, SQL * Cloud: Azure * Adjacent: Hex, MCP Requirements * 4+ years in data platform engineering. Bonus if you've ...

Charles Schwab

Lead AI Platform Developer

Southlake, TX · On-site

Build analytical systems using tools such as dbt, dlt, DuckDB, and Cloud-native storage and compute * Enable consistent, trusted data access for Treasury analytics AI & Advanced Analytics * Enable AI ...

AgileEngine

Senior Data Engineer ID75059

Houston, TX · On-site +1

$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 ...

AgileEngine

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 ...

AgileEngine

Senior Data Engineer ID75059

Austin, TX · On-site +1

$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 ...

AgileEngine

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 ...

AgileEngine

Senior Data Engineer ID75059

Dallas, TX · On-site +1

$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 ...

AgileEngine

Senior Data Engineer ID75059

Texas City, TX · On-site +1

$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 ...

AgileEngine

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 ...

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 · On-site

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

All JobsDuckdb JobsDuckdb Jobs in Texas

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.

Is DuckDB a real database?

DuckDB is a real open-source database management system designed for analytical queries and data processing. It is often used by data analysts and developers for embedded analytics and supports SQL for data manipulation. As a lightweight, serverless database, it can be integrated into various environments for efficient data analysis.

What language does DuckDB use?

DuckDB is primarily written in C++ and provides APIs for languages such as Python, R, and Java, allowing integration with various data analysis tools. Developers working with DuckDB should be familiar with SQL for querying and may also use the supported programming languages for embedding and automation.

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.

Is DuckDB paid?

DuckDB is an open-source database management system that is free to use and distribute. There are no costs associated with downloading or deploying DuckDB, making it accessible for individual and commercial projects without licensing fees.

What can I do with DuckDB?

DuckDB is an embedded analytical database engine often used by data analysts and developers for running complex queries on large datasets locally or within applications. It supports SQL and integrates with programming languages like Python and R, enabling data analysis, data transformation, and reporting tasks efficiently. Users can leverage DuckDB for data exploration, machine learning workflows, and building data pipelines in various environments.
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 June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior Data Engineer

Billee Technologies, Inc

Dallas, TX • On-site, Remote

$98K - $133K/yr

Full-time

Re-posted 19 days ago

Job description

Senior Data Engineer
At Billee, we're building the next generation of utility billing. Our goal is simple: make a complex, manual, and fragmented process feel seamless, transparent, and intelligent.
Our intelligence platform turns raw utility and billing data into actionable intelligence and regulatory peace of mind for multifamily property operators. Our platform is past the "greenfield" phase - foundational modeling is underway, our stack is chosen, and the roadmap is set. We're hiring our second dedicated data engineer to partner with our existing data engineer and help us move from foundation to scale.
What you'll work on
  • Reporting & analytics. Contribute to the modeled data and pipelines behind customer-facing reports on consumption, cost, and rate trends.
  • AI-ready data infrastructure. Ingestion, semantic models, storage solutions, and retrieval (SQL, RAG, vector, or graph-based.)
  • Dimensional modeling at the core. Contribute robust facts and dimensions that power analysis us and for our customers.
  • Platform reliability. Own testing, lineage, freshness monitoring, and alerting so data issues are caught before a customer sees them.
  • Cross-team partnership. Translate vague product and compliance questions into concrete models, working directly with engineers, analysts, and PMs.
Our stack
  • Warehouse: MotherDuck / DuckDB
  • Orchestration: Dagster
  • Transformation: DBT
  • Language: Python, SQL
  • Cloud: Azure
  • Adjacent: Hex, MCP
Requirements
  • 4+ years in data platform engineering. Bonus if you've been a primary builder on a platform from early stages.
  • Strong Python and SQL.
  • Hands-on DBT experience.
  • Dimensional modeling fluency. Star schemas, facts and dimensions
  • Direct experience with our stack is a significant plus. In order of preference:
    • Dagster (asset-based orchestration, sensors, partitions) - strongly preferred over Airflow experience alone
    • DuckDB or MotherDuck - even side-project or exploratory use
  • Comfort analyzing data directly.
Bonus
  • Experience with AI/LLM-adjacent data work: RAG pipelines, embedding stores, evaluation frameworks (e.g. LangSmith or PydanticAI), or knowledge-graph approaches for structured retrieval
  • Azure experience
  • Utility, energy, PropTech, or billing domain background
  • Experience building data products for external customers (not just internal BI)
Who we're looking for
  • Collaborative builder. You turn vague requirements into concrete solutions by asking good questions, not by guessing.
  • Comfortable with ambiguity. Our roadmap shifts; you can prioritize and make progress on incomplete information.
  • Ownership mindset. You treat the platform as a product - monitoring and proactive thinking about future needs
  • Quality advocate. You believe tests, observability, and lineage are features, not overhead.
  • Curious about new tooling. You've been watching the modern data stack evolve and have opinions - about DuckDB, about Dagster vs. Airflow, about where LLMs do and don't belong in data pipelines.
  • No-task-too-small mindset. Small team, lots of surface area. You'll occasionally build a quick report or debug someone else's pipeline

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