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Contract Databricks Developer Jobs in Arizona (NOW HIRING)

Koantek

Databricks Platform Architect

Chandler, AZ · On-site

Contract Job Overview We are seeking an accomplished, technology-driven Lead Data Platform ... Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ...

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

Contract Job Overview We are seeking an accomplished, technology-driven Lead Data Platform ... Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ...

Koantek LLC

Databricks Platform Architect

Chandler, AZ · On-site

$120 - $160/hr

Contract Job Overview We are seeking an accomplished, technology-driven Lead Data Platform ... Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ...

Koantek

Full Stack Application Developer

Arizona City, AZ · On-site

$83 - $131/hr

Contract Role Overview Koantek is seeking multiple experienced Full Stack Application Developer to ... Experience with Databricks Apps and the broader Databricks platform is highly desirable but not ...

Koantek

Full Stack Application Developer

Mesa, AZ · On-site

Contract Department: Engineering Role Overview Koantek is seeking multiple experienced Full Stack ... Experience with Databricks Apps and the broader Databricks platform is highly desirable but not ...

Koantek

Full Stack Application Developer

Mesa, AZ · Remote

Contract Department: Engineering Role Overview Koantek is seeking multiple experienced Full Stack ... Experience with Databricks Apps and the broader Databricks platform is highly desirable but not ...

ApplyMint

Software Engineer I

Chandler, AZ · On-site

$90 - $140/hr

Enforce data contracts and schema stability for downstream ML pipelines. * Implement automated ... Databricks & Lakehouse Engineering * Design and optimize bronze, silver, and gold pipelines using ...

New

Navtech, Inc.

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Big Data Engineer with Java Location: Remote Duration: 12 Months Contract Qualifications ... Hadoop echo system, Spark, Databricks, and Azure-based services * Experience with medium to large ...

TekWissen LLC

Software Engineering Lead

Glendale, AZ · On-site

$93/hr

Contract Work Type: Temporary Assignment Description: Summary: We are seeking an experienced and ... The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ...

Addison Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5:00 PM Benefits: This ... Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus Addison Group is an ...

Addison Group

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5:00 PM Benefits: This ... Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus Addison Group is an ...

RIT Solutions, Inc.

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

... a contract position. The role involves utilizing AWS services and data engineering skills to manage and process data effectively. Responsibilities : • Must have: aws data, datazone, databricks ...

Radix

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Define and enforce data contracts, metric definitions, and modeling standards that support ... Improve developer experience through better tooling, local development workflows, testing practices ...

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Arizona

Contract Databricks Developer information

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 the key skills and qualifications needed to thrive as a Contract Databricks Developer?

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 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 most commonly searched types of Databricks Developer jobs in Arizona?

The most popular types of Databricks Developer jobs in Arizona are:

What are popular job titles related to Contract Databricks Developer jobs in Arizona?

For Contract Databricks Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Developer jobs in Arizona look for?

The top searched job categories for Contract Databricks Developer jobs in Arizona are:

What cities in Arizona are hiring for Contract Databricks Developer jobs?

Cities in Arizona with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Arizona as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Databricks Platform Architect

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 24 days ago

Job description


Job Title: Lead Data Platform Architect / Data bricks Migration Lead
Location: Remote
Position Type: Contract
Job Overview
We are seeking an accomplished, technology-driven Lead Data Platform Architect / Migration Specialist to spearhead the modernization of our core enterprise financial and tax allocation engines. In this role, you will lead the architectural design, definition of migration strategies, and hands-on implementation to transition large-scale legacy relational database systems (SQL Server/T-SQL) into a modern, cloud-native Databricks Lakehouse platform.
The ideal candidate will have extensive experience in high-throughput distributed systems, Databricks compute optimization, performance tuning, and complex pipeline orchestration.
Key Responsibilities
  • Architecture & Strategy: Validate, refine, and own the target architecture on Databricks. Define robust migration strategies and production-ready reference patterns to convert 150+ complex stored procedures into PySpark and Structured/Declarative Pipelines (SDP).
  • Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration-driven parameter handling for both full and incremental recalculation modes.
  • Performance Optimization: Address performance deltas between small and large workloads. Architect and implement acceleration techniques such as caching, partition pruning, cluster sizing, and offline/pre-calculation strategies to maintain sub-30-second user-facing reporting SLAs.
  • Orchestration & Observability: Design and deploy enterprise-level pipeline orchestration using tools like Apache Airflow or Databricks Workflows. Integrate robust logging, error handling, and observability patterns into existing enterprise monitoring frameworks.
  • Governance & Security: Implement data governance models, data lineage, and schema evolution utilizing tools like Unity Catalog.
  • AI-Assisted Delivery & Code Quality: Establish best practices for AI-assisted code generation (e.g., using Claude or advanced LLMs), providing code-review patterns and refactoring frameworks to ensure maintainable and performant output.
  • Team Enablement: Lead code walkthroughs, design reviews, and pair-programming sessions with the development team to accelerate knowledge transfer and technical excellence.
Required Technical Skills & Qualifications
  • Core Big Data Platform: Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark.
  • Legacy Database Expertise: Strong background in relational databases, with advanced proficiency in SQL Server, T-SQL, and Stored Procedures. Ability to reverse-engineer and refactor legacy database logic into distributed paradigms.
  • Orchestration Tools: Hands-on experience with Apache Airflow or similar modern workflow orchestrators.
  • Performance Tuning: Proven track record in cost optimization (FinOps), cluster tuning, autoscaling configurations, and handling skewed data profiles.
  • CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing frameworks (PyTest), and automated Git-based workflows.
  • Experience Level: 10+ years of experience in Data Engineering/Architecture, with at least 3+ years specifically leading large-scale cloud data migrations.
    Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Preferred Certifications
  • Databricks Certified Data Engineer Associate / Professional
  • Databricks Certified Solutions Architect
  • AWS Certified Database Specialist or equivalent Cloud Certifications

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