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Contract Databricks Developer Jobs in Houston, TX

Databricks Architect - Remote

Houston, TX · Remote

$61.75 - $81.25/hr

Remote Duration: 12 Months Contract We have below longterm job opening. If you are interested ... Must Have Technical/Functional Skills 10+ years of overall experience in data engineering or ...

Databricks Architect - Remote

Houston, TX · On-site +1

$61.75 - $81.25/hr

Remote Duration: 12 Months Contract We have below longterm job opening. If you are interested ... Must Have Technical/Functional Skills 10+ years of overall experience in data engineering or ...

SeniorPython Developer

Spring, TX · On-site

$44.75 - $61.50/hr

Job Title:- Senior Python Developer Location:- Spring Texas (On-Site) Job Type:- Long Term Contract ... They need Python Guru with experience on Databricks or Palantir. * Someone who really done Software ...

Senior Python Developer - w2

Spring, TX · On-site

$108K - $145K/yr

Job Title:- Senior Python Developer Location:- Spring Texas (On-Site) Job Type:- Long Term Contract ... They need Python Guru with experience on Databricks or Palantir. * Someone who really done Software ...

Job Title:-Senior Data Engineer

Spring, TX · On-site

$94K - $128K/yr

... - Long Term Contract Market rate Need only local Oil & gas domain experience is Good to have ... Design, build, and optimize scalable ETL/ELT pipelines using Databricks, Delta Lake, Python, SQL ...

Job#: 3031977 Senior Data Platform Engineer (Python, Databricks, React) Contract length: 12 months Work location: Onsite 5 days - Spring, TX Rate : Negotiable We are seeking a Senior Data Platform ...

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

... Contract Work Authorization: US Citizen or Green Card Holders ***This is a hybrid position in Austin or Houston*** Data & AI Engineer SQL Server • Azure Databricks • Data Integration • Vector ...

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Contract Databricks Developer information

See Houston, TX salary details

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How much do contract databricks developer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for contract databricks developer in Houston, TX is $58.72, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $64.95 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Houston, TX? The most popular types of Databricks Developer jobs in Houston, TX are:
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What job categories do people searching Contract Databricks Developer jobs in Houston, TX look for? The top searched job categories for Contract Databricks Developer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Contract Databricks Developer jobs? Cities near Houston, TX with the most Contract Databricks Developer job openings:
Snowflake DBT Developer with Heavy Databricks-Location-Houston, Texas-Hybrid -Need Locals

Snowflake DBT Developer with Heavy Databricks-Location-Houston, Texas-Hybrid -Need Locals

Cyber Sphere LLC

Houston, TX • On-site, Remote

Other

Posted 2 days ago


Job description

Title -Snowflake DBT Developer with Heavy Databricks

Location-Houston, Texas-Hybrid -Need Locals

Duration Contract

Job Summary

We are seeking a highly skilled Snowflake DBT Developer with extensive hands-on experience in Databricks to design, develop, and optimize modern cloud-based data platforms. The ideal candidate will have strong expertise in building scalable ELT pipelines using dbt, implementing data transformations in Snowflake, and leveraging Databricks (PySpark & Spark SQL) for large-scale data processing.

This role requires a strong understanding of data warehousing, cloud-native architectures, performance optimization, and CI/CD best practices. The candidate will work closely with Data Architects, Data Engineers, BI Developers, and Business stakeholders to build reliable, scalable, and high-performance data solutions. Modern data engineering roles increasingly combine Snowflake, dbt, Databricks, SQL, cloud platforms, Git, CI/CD, and data quality practices.

Key Responsibilities

  • Design, develop, and maintain enterprise-grade ELT pipelines using dbt and Snowflake.
  • Build scalable data ingestion and transformation frameworks using Databricks, PySpark, and Spark SQL.
  • Develop dimensional models, star schemas, and data marts for analytics and reporting.
  • Optimize Snowflake objects including:
    • Virtual Warehouses
    • Tables
    • Materialized Views
    • Streams & Tasks
    • Clustering Keys
    • Query Performance
  • Build reusable dbt models, macros, snapshots, tests, and documentation.
  • Develop incremental models and implement CDC (Change Data Capture) patterns.
  • Process structured and semi-structured data (JSON, Avro, Parquet, XML).
  • Implement Delta Lake architecture and optimize Spark workloads.
  • Collaborate with business users to translate requirements into scalable data solutions.
  • Implement data quality validation, automated testing, and monitoring.
  • Optimize pipeline performance, cloud costs, and warehouse utilization.
  • Build CI/CD pipelines for dbt deployments using Git-based workflows.
  • Troubleshoot production issues and perform root cause analysis.
  • Ensure compliance with security, governance, and data privacy standards.
  • Participate in Agile ceremonies including sprint planning, code reviews, and release activities.

Required Skills

Snowflake

  • 5+ years of hands-on Snowflake experience
  • Snowflake SQL
  • Data Sharing
  • Streams & Tasks
  • Time Travel
  • Zero Copy Cloning
  • Snowpipe
  • Secure Views
  • RBAC
  • Query Optimization
  • Performance Tuning
  • Warehouse Management
  • Cost Optimization

Databricks (Must Have)

  • Strong hands-on experience with Databricks
  • PySpark
  • Spark SQL
  • Delta Lake
  • Delta Live Tables
  • Unity Catalog
  • Auto Loader
  • Spark Optimization
  • Job Clusters
  • Workflow Scheduling
  • Performance Tuning

dbt

  • Advanced dbt Core
  • dbt Cloud
  • Incremental Models
  • Snapshots
  • Macros
  • Seeds
  • Tests
  • Documentation
  • Packages
  • Source Freshness
  • Exposures

Programming

  • Advanced SQL
  • Python
  • PySpark
  • Spark SQL
  • Shell Scripting

Data Engineering

  • Data Warehousing
  • Data Modeling
  • ELT
  • ETL
  • CDC
  • Slowly Changing Dimensions (SCD)
  • Data Lake
  • Lakehouse Architecture
  • Metadata Management
  • Data Lineage

Cloud Platforms

  • AWS / Azure / Google Cloud Platform
  • Object Storage (S3, ADLS, GCS)

Orchestration

  • Apache Airflow
  • Azure Data Factory
  • Databricks Workflows

DevOps

  • Git
  • Azure DevOps
  • GitHub Actions
  • Jenkins
  • CI/CD
  • Terraform (Preferred)

Regards,

Sai Srikar

Email: