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Databricks Engineer Jobs in Buda, TX (NOW HIRING)

Senior Data Engineer, AI & Agents

Austin, TX · On-site

$105K - $142K/yr

As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by ... You will operate across Databricks and Snowflake, converting source tables to open formats and ...

Systems Engineer - Data and Insights

Austin, TX · On-site

$113K - $136K/yr

Design, build, and optimize Databricks (DBX) data pipelines and workflows to support scalable batch and near real-time data processing.. * Partner with data science and AI teams to productionize AI ...

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

Data & AI Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

Spark/Pyspark Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Technical Stack Very strong SQL Spark / PySpark Databricks Enterprise‑scale data engineering experience Interview Process 4 rounds minimum At least 1-2 panel interviews (1 hour each) Additional ...

... Databricks, Snowflake) for intelligent query and data retrieval. • Develop tools that automate ... and other engineering disciplines to enable business success for customers. • Document best ...

... Engineer to help transform enterprise data into trusted, analytics-ready assets that support ... Working primarily within Azure Databricks and Entegrata, this role focuses on designing and ...

... Engineer to help transform enterprise data into trusted, analytics-ready assets that support ... Working primarily within Azure Databricks and Entegrata, this role focuses on designing and ...

... Databricks, Snowflake) for intelligent query and data retrieval. • Develop tools that automate ... and other engineering disciplines to enable business success for customers. • Document best ...

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

... BigQuery, Databricks) Use tools like DBT to create modular, testable, and well-documented ... data engineering in an AI-first platform Preferred Qualifications Experience building AI/LLM ...

Senior Staff Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Familiarity with warehouse-native architectures (Snowflake, BigQuery, Redshift, Databricks) and ... Prior experience as a staff or principal engineer, driving large cross-functional initiatives to ...

Senior Data & AI Platform Engineer

Austin, TX · On-site

$66.75 - $89.25/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data ... Serve as the technical authority across a core platform (Fabric, Snowflake, or Databricks) plus a ...

Showing results 41-60

Databricks Engineer information

See Buda, TX salary details

$56.2K

$105.4K

$191.7K

How much do databricks engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for databricks engineer in Buda, TX is $105,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $125,100.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Buda, TX?

For Databricks Engineer jobs in Buda, TX, the most frequently searched job titles are:

What cities near Buda, TX are hiring for Databricks Engineer jobs?

Cities near Buda, TX with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Buda, TX as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $105,402 per year, or $50.7 per hour.

Senior Data Engineer, AI & Agents

Austin, TX • On-site

Socket.dev
Network Security • 1 - 10 employees

$105K - $142K/yr

Other

Posted 5 days ago


Job description

About us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The role centers on building and registering domain-grounded data agents over governed datasets, performing lakehouse migrations, and onboarding new data domains — including commercial, finance, research and development, and real-world data — onto the enterprise data platform. You will operate across Databricks and Snowflake, converting source tables to open formats and generating the catalogue metadata that powers downstream automation and data-contract workflows, all while ensuring high data quality, governed access, and reliable agent-based access to trusted data. The ideal candidate brings deep, hands-on data engineering expertise, strong governance instincts, and excellent stakeholder-facing skills.

Key Responsibilities
  • Build and register domain data agents at scale over governed tables across Databricks and Snowflake.
  • Perform lakehouse migrations, including converting source tables to open formats (e.g., Apache Iceberg) to enable agent-based access.
  • Generate and curate catalogue metadata that feeds downstream automation and data-contract workflows.
  • Partner with business stakeholders and subject-matter experts through iterative build, test, and validation cycles.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of professional experience in data engineering, with significant hands‑on experience across modern data warehousing and lakehouse platforms (Databricks and Snowflake preferred).
  • Strong data engineering background with genuine, hands‑on fluency across both Databricks and Snowflake.
  • Demonstrated experience building data agents or query interfaces over governed datasets (e.g., Snowflake Cortex or Genie).
  • Advanced SQL together with Spark / PySpark, and experience with pipeline orchestration (dbt, Apache Airflow, or Databricks Workflows).
  • Experience implementing data quality, observability, and lineage, and applying governance controls such as masking and row- and column‑level security.
  • Excellent stakeholder‑facing skills, with a track record of translating business requirements into delivered data assets.
Preferred Skills
  • Familiarity with MCP‑based data exposure and with embeddings or vector search for retrieval‑augmented use cases.
  • Experience with AWS and S3, in anticipation of onboarding native cloud data sources.
  • Experience with regulated life‑sciences data domains (clinical, commercial, or real‑world data).
Technical Experience
  • Data platforms: Databricks, Snowflake (Cortex, Genie); AWS and S3.
  • Pipelines and modelling: SQL, PySpark, dbt, Airflow / Databricks Workflows.
  • Governance and catalogue: Unity Catalogue, Horizon, Collibra.
  • AI and agents: MCP; vector databases and embeddings.
  • Foundations: Python; YAML data contracts; Apache Iceberg; Git and CI/CD.
Who you are
  • Agent‑Oriented Builder: You enjoy turning governed datasets into reliable, domain‑grounded agents that business users can query with confidence.
  • Quality‑Focused: You are rigorous about data accuracy, lineage, and observability, ensuring high standards through validation before data reaches agents or the business.
  • Collaborative Partner: You thrive working directly with stakeholders and subject‑matter experts through iterative build, test, and validation cycles.
  • Governance‑Minded: You understand the critical nature of data security in regulated domains and proactively apply masking and row- and column‑level controls.
  • Forward‑Thinking: You are interested in the "big picture" of lakehouse architecture and open formats, eager to advance agent‑based access patterns and best practices.
What Appnovation Offers
  • Challenging and rewarding work with real impact
  • Direct Access to Cutting-Edge AI Platforms
  • Diverse and Inclusive Culture
  • Growth opportunities for personal and professional development
  • A collaborative and innovative work environment where your ideas are valued
  • Exposure to exciting projects and high‑profile clients
  • Supportive work environment with access to company leaders

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.

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