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Freelance Databricks Data Engineer Jobs in Arizona

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD • Bachelor's degree in Computer Science, Engineering or related field • 5+ years ...

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Data Engineer - Manager

Phoenix, AZ · On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing ... Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Principal Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data ... Hands-on experience with Databricks and modern lakehouse architectures * Familiarity with real-time ...

Principal Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data ... Hands-on experience with Databricks and modern lakehouse architectures * Familiarity with real-time ...

RIT Solutions, Inc. is seeking an AWS Data Engineer to join their team in Chandler, AZ. The role ... DataBricks • Glue, Spark, ETL • Python • CI/CD pipelines • Understanding of data warehouse ...

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

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Freelance Databricks Data Engineer information

How do freelance Databricks Data Engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What are Freelance Databricks Data Engineers?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a Freelance Databricks Data Engineer, and why are they important?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.
What are the most commonly searched types of Databricks Data Engineer jobs in Arizona? The most popular types of Databricks Data Engineer jobs in Arizona are:
What are popular job titles related to Freelance Databricks Data Engineer jobs in Arizona? For Freelance Databricks Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Databricks Data Engineer jobs in Arizona look for? The top searched job categories for Freelance Databricks Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Freelance Databricks Data Engineer jobs? Cities in Arizona with the most Freelance Databricks Data Engineer job openings:

Azure Databricks Engineer

Prophecy Technologies

Phoenix, AZ • On-site

Other

Posted 17 days ago


Job description

Role: Azure Databricks Engineer - Python / Synapse / Multi-Cloud Data Integration
Location: Phoenix, AZ / Philadelphia, PA
Competencies
Must-Have:
  • Stellar hands-on expertise in Python for data engineering, transformation, and automation
  • Proven experience working with Microsoft Azure Databricks, Azure Synapse Analytics, and Azure SQL
  • Strong understanding of ETL/ELT pipelines, data modeling, and data orchestration within cloud environments
  • Ability to design and implement data pipelines for large-scale analytics solutions
  • Familiarity with multi-cloud environments, including Amazon Redshift and Google BigQuery
  • Experience in data performance tuning, optimization, and query debugging
Good-to-Have:
  • Knowledge of Azure Data Factory (ADF) and Data Lake Storage (ADLS)
  • Experience with DevOps CI/CD practices in data engineering projects
  • Understanding of data governance, security, and compliance standards
  • Exposure to business intelligence (BI) integration and real-time analytics
  • Excellent analytical, communication, and documentation skills
Responsibilities
  • Design, develop, and maintain data engineering solutions using Azure Databricks, Synapse, and Azure SQL
  • Build and optimize Python-based ETL pipelines for data ingestion, transformation, and integration
  • Work on multi-cloud data connectivity between Azure, AWS (Redshift), and GCP (BigQuery)
  • Collaborate with data architects and analysts to define data models and schemas for analytical workloads
  • Ensure data quality, security, and governance across all stages of data processing
  • Implement and manage automation and CI/CD pipelines for scalable data workflows
  • Monitor, troubleshoot, and enhance performance of data jobs and pipelines
  • Document technical designs, data flow diagrams, and best practices for ongoing improvements