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Part Time Streaming Data Engineer Jobs in Arizona

Inform the candidate that they must not have any other part-time or full-time employment while ... Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming ...

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... The ideal candidate will possess strong expertise in Azure Data Lake, Azure Data Factory ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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ENGINEERING TECHNICIAN Location: Tucson, Arizona 85756 Part-time: Flexible time, 20 hours a week We ... Methodical and able to record and process test data and create reports. * Flexible, "can-do ...

Part-Time Test Engineer Who we are: Lunewave Inc. is a privately held technology company developing ... Following the conclusion of the testing, the collected data will be added to the companies ...

Part-Time Test Engineer Who we are: Lunewave Inc. is a privately held technology company developing ... Following the conclusion of the testing, the collected data will be added to the companies ...

Telework Type: Part-Time Telework * Work Location: Chandler, AZ, Houston, TX, Reston, VA * Only ... USD 140,800 - USD 203,700 annually (salary range is based on market data; final salary offered is ...

Telework Type: Part-Time Telework * Work Location: Chandler, AZ, Houston, TX, Reston, VA * Only ... USD 140,800 - USD 203,700 annually (salary range is based on market data; final salary offered is ...

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... Knowledge of instrumentation and control valves including specifications, generation of data sheets ...

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Part Time Streaming Data Engineer information

What is the difference between Part Time Streaming Data Engineer vs Part Time Data Analyst?

AspectPart Time Streaming Data EngineerPart Time Data Analyst
Required SkillsReal-time data processing, SQL, Python, Kafka, SparkData visualization, SQL, Excel, statistical analysis
Work EnvironmentTech teams, data engineering projects, cloud platformsBusiness units, reporting, data interpretation
Common CertificationsCloud certifications, Apache Kafka, Spark certificationsNone specific, often data analysis or business intelligence certifications

Part Time Streaming Data Engineers focus on building and maintaining real-time data pipelines using tools like Kafka and Spark, primarily working in technical environments. In contrast, Part Time Data Analysts interpret data, create reports, and support decision-making. Both roles require strong SQL skills but differ in technical complexity and daily tasks.

What are the most commonly searched types of Streaming Data Engineer jobs in Arizona?

The most popular types of Streaming Data Engineer jobs in Arizona are:

What are popular job titles related to Part Time Streaming Data Engineer jobs in Arizona?

For Part Time Streaming Data Engineer jobs in Arizona, the most frequently searched job titles are:

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The top searched job categories for Part Time Streaming Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Part Time Streaming Data Engineer jobs?

Cities in Arizona with the most Part Time Streaming Data Engineer job openings:

Infographic showing various Part Time Streaming Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Databricks Engineer

Conflux Systems

Phoenix, AZ • On-site

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

Client Name - AMEX
Glow - 3ET0JY
Posman - 134667
Role / Skills - Databricks Engineer
Rate - USD $52
Location - Pheonix - Day 1 Onsite - min 3 days a week.
JD - Confirm / share us the complete JD and lets us know if anything specific:
Databricks Engineer
Role Overview
We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.
Key Responsibilities
  • Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
  • Lead implementation of:
  • Cloud-based data lakehouse platforms integrating diverse data sources.
  • Real-time data processing pipelines for operational and analytical use cases.
  • Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
  • Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
  • Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
  • Establish data quality frameworks and governance standards.
  • Implement and manage Unity Catalog, including fine-grained security and access controls.
  • Leverage Databricks components such as:
  • Delta Live Tables
  • Autoloader
  • Structured Streaming
  • Databricks Workflows
  • Integration with orchestration tools (e.g., Apache Airflow)
  • Drive CI/CD automation, deployment strategies, and DevOps best practices.
  • Optimize performance of pipelines, Spark jobs, and compute resources.
  • Provide architectural guidance and technical leadership across cross-functional teams.
  • Engage with stakeholders and clients to translate business requirements into scalable technical solutions.

Deep expertise in:
  • Databricks and cloud-native storage/compute platforms
  • Apache Spark (batch & streaming)
  • Delta Lake & Lakehouse architecture
  • Distributed data processing systems
  • Strong hands-on programming skills in Python, PySpark, Scala, and SQL.