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Databricks Jobs in Houston, TX (NOW HIRING)

WorkNovas LLC

Platform Engineer

Houston, TX · On-site

Administer Databricks workspaces, clusters, jobs, Unity Catalog, compute policies, environment configuration, and platform guardrails. * Implement and maintain RBAC and ABAC access controls for ...

Kanshe Infotech

Senior React/Python Developer

Spring, TX · On-site

$102K - $138K/yr

Python | React | Databricks | SQL | Azure | REST APIs | CI/CD | Snowflake We are looking for a Senior React/Python Developer to build and enhance enterprise applications for a high-performing global ...

Radiant System, Inc

AI Business Lead

Houston, TX · On-site

Train business teams on Microsoft Power Automate, Databricks, AI tools, and prompt engineering . * Identify, design, and implement AI and automation solutions to improve business processes.

Inizio Partners

BI Lead

Houston, TX · On-site

The BI/AI lead will lead development and cross train the teams on Microsoft Power Automate, Databricks, AI-enabled workflow capabilities, prompt engineering, and related automation platforms. This ...

Dow

Machine Learning Engineer

Houston, TX · On-site

Deploys and monitors machine learning models in production using Databricks Model Registry, Jobs, and Workspace * Frequently collaborates with data engineers, DevOps/platform engineers, data ...

Deloitte

Lead Data Engineer

Houston, TX · On-site

$97K - $128K/yr

Deloitte is seeking a Lead Data Engineer- Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams ...

OmniForce

AI Business Lead

Houston, TX · On-site

The AI Business Lead will be responsible for training FP&A teams on tools such as Microsoft Power Automate, Databricks, AI-enabled workflow capabilities, prompt engineering, and related automation ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Requirements · Strong Expertise in DATA Azure data lake Azure Databricks, Azure SQL, Power BI · Expertise to Implementing Data warehousing Solutions experience as Data Engineer in Azure Big Data ...

ISite Technologies Inc

Azure data factory

Texas City, TX · On-site

$47 - $58.50/hr

The ideal candidate should have strong expertise in Azure Data Factory, Azure Data Lake, Azure SQL, Databricks, Synapse Analytics, and Azure DevOps, with experience designing scalable, secure, and ...

New

Andor Tech Inc.

Senior Data Tech Lead

Houston, TX · On-site

Optimize Databricks workloads with a strong focus on performance and cost efficiency. * Implement robust security, governance, lineage, and metadata controls using Unity Catalog. * Troubleshoot ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Databricks Certified Data Engineer Professional Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. * Build and optimize data ...

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Showing results 21-40

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Databricks information

See Houston, TX salary details

$22.4K

$36K

$48.7K

How much do databricks jobs pay per year?

As of Aug 7, 2026, the average yearly pay for databricks in Houston, TX is $36,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $39,600.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Houston, TX? The most popular types of Databricks jobs in Houston, TX are:
What are popular job titles related to Databricks jobs in Houston, TX? For Databricks jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Houston, TX look for? The top searched job categories for Databricks jobs in Houston, TX are:
What cities near Houston, TX are hiring for Databricks jobs? Cities near Houston, TX with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Houston, TX as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $36,016 per year, or $17.3 per hour.

Platform Engineer

WorkNovas LLC

Houston, TX • On-site

Contractor

Re-posted 9 days ago

Job description

 

Platform Engineer

Houston, TX

Description: 

 About the Role:

Client is seeking a Platform Engineer with deep expertise in Databricks administration, data governance, and platform‑level engineering standards. This role enables multiple analytics and AI teams to build safely, efficiently, and consistently on a shared Databricks platform by enforcing data quality, ingestion standards, security policies, and cost governance.

The candidate will technical be the owner of platform guardrails, operational stability, access patterns, and cost controls—ensuring the platform scales reliably across business teams.

Key Responsibilities:

  • Platform Administration & Governance
  • Administer Databricks workspaces, clusters, jobs, Unity Catalog, compute policies, environment configuration, and platform guardrails.
  • Implement and maintain RBAC and ABAC access controls for secure, compliant data access.
  • Define and enforce data ingestion standards, naming conventions, schema rules, Delta Lake design patterns, and data quality expectations.

Data Quality & Ingestion Standards:

  • Set platform‑wide standards for ingestion pipelines, Delta architecture, lineage, versioning, and validation.
  • Review and approve onboarded pipelines for compliance with platform requirements.
  • Partner with data engineering teams to uplift patterns and enforce consistency.
  • Security, Compliance & Access Controls
  • Manage workspace and catalog permissions, row/column‑level policies, attribute‑based filtering, and workspace isolation.
  • Collaborate with security teams to maintain compliance and enforce global data protection standards.
  • Cost Management & Monitoring
  • Implement cost thresholds, alerts, compute policies, and usage dashboards to prevent overspend.
  • Monitor job and cluster costs, detect anomalies, and recommend optimization actions.
  • Provide visibility into SKU‑level spend and workspace cost patterns.
  • Operational Stability & Observability
  • Ensure platform reliability through automated testing, CI/CD templates, and code governance.
  • Build dashboards to track code compliance, data access, pipeline health, schema drift, and cost thresholds.
  • Resolve platform incidents and prevent recurrence by strengthening guardrails and configurations.

Enablement & Best Practices:

  • Define “handrails” for building on the platform: ingestion, Delta conventions, CI/CD, observability, and AI/ML patterns.
  • Coach data/analytics teams on compliant onboarding and optimal platform usage.
  • Maintain internal documentation, patterns, code templates, and guidance.
  • Required Skills & Experience
  • 5+ years in data engineering or platform engineering, with at least 2–3 years in Databricks administration.
  • Expert knowledge of Unity Catalog, cluster policies, Delta Lake, Spark, workspace configuration, and jobs.
  • Strong grounding in data governance, data modeling, ingestion frameworks, schema enforcement, versioning, and lineage.
  • Proven experience implementing RBAC and ABAC in Databricks or similar platforms.
  • Experience with cost optimization, monitoring, billing logs, and compute governance.
  • Strong Python/PySpark and SQL skills; familiarity with DLT, Airflow, or Databricks Workflows.
  • Strong communication skills with ability to set standards and influence teams diplomatically.

Preferred Qualifications:

  • Experience in large-scale enterprise data platforms (Azure/AWS/GCP).
  • Familiarity with Trading & Supply or other high‑stakes analytical environments.
  • Experience creating dashboards for governance, cost, compliance, and pipeline health.
  • Experience with CI/CD, GitHub Actions, Azure DevOps, or similar tools.

Success Indicators:

  • Teams consistently follow ingestion and data standards.
  • Platform costs stabilized and predictable.
  • Strong adoption of platform guardrails, templates, and operational dashboards.
  • Reduced incidents related to access, cost, or ingestion quality.