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Streaming Software Engineer Jobs in Arizona (NOW HIRING)

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

... and streaming solutions that support enterprise analytics, machine learning, and business ... Collaborate with software engineers, architects, product teams, and business stakeholders to ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$49 - $53/hr

Create and maintain streaming and batch data pipelines using technologies such as Spark, Kafka ... software engineering, data engineering, or related technical roles. * Experience building and ...

Talent Ninja

Sr. Software Engineer

Tempe, AZ · On-site

$117K - $154K/yr

**W2, Direct-Hire Candidates Only** Sr. Software Engineer - Appian - Tempe, Austin, Charlotte ... Experience with streaming in general (e.g. spark streaming) and Kafka/Confluent in particular

Motion Recruitment

Software Engineer 2

Phoenix, AZ · Hybrid

$92K - $126K/yr

... streaming, in a highly collaborative team * 2+ years of hands-on experience developing data flows ... Provide information to client personnel in Software Engineering.

Motion Recruitment

Software Engineer - GCP, AI

Phoenix, AZ · Hybrid

$108K - $129K/yr

Hands-on experience developing data flows using Kafka, Flink, and Spark streaming What You Will Be ... Review and analyze moderately complex Software Engineering challenges that require an in-depth ...

Tror AI for everyone

Software Engineer

Phoenix, AZ · On-site

Job Position: - Senior Software Engineer Job Location: - Phoenix AZ (100% onsite) Job Type ... Experience with Flink for stream processing and data pipelines. * Proficiency in Redis for caching ...

Judge Group, Inc.

Specialty Software Engineer

Phoenix, AZ · On-site

$76 - $81/hr

Senior Data Engineer, Cloud & Streaming Platforms (Contract) We are not accepting C2C or 1099 ... software engineering disciplines. * 5+ years of hands-on experience with Hadoop and cloud-based ...

Procom Services

Embedded Software Engineer

Chandler, AZ · On-site

$129K - $170K/yr

Help customers integrate client's silicon and software offerings into their products ... Debug/Root Cause analysis of build/networking/streaming/application/integration issues with drivers ...

The AIRO Group

Software Engineer (C2 Integrations)

Phoenix, AZ · On-site

$103K - $139K/yr

Build and optimize resilient, low-latency video streaming pipelines and telemetry routing utilizing ... Qualifications * BS in Computer Science, Software Engineering, or related field with 8+ years of ...

AIRO Group

Software Engineer (C2 Integrations)

Phoenix, AZ · On-site

$103K - $139K/yr

Build and optimize resilient, low-latency video streaming pipelines and telemetry routing utilizing ... Qualifications * BS in Computer Science, Software Engineering, or related field with 8+ years of ...

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Streaming Software Engineer information

What is a streaming software engineer?

Streaming Software Engineers are professionals who design, develop, and maintain software systems that enable the real-time delivery of audio, video, or data streams over networks. They work with technologies such as video encoding, adaptive bitrate streaming, real-time protocols, and distributed systems to ensure seamless and efficient content delivery. Their responsibilities often include optimizing streaming performance, ensuring low latency, and integrating with various platforms and devices. Streaming Software Engineers typically collaborate with product teams, operations, and other engineers to build scalable and robust streaming solutions.

What are the key skills and qualifications needed to thrive as a streaming software engineer?

A Streaming Software Engineer should have a solid background in computer science, programming (often in C++, Java, or Python), and real-time data processing, typically supported by a relevant degree or equivalent experience. Familiarity with streaming platforms and protocols (such as Kafka, Flink, or Spark Streaming), as well as cloud infrastructure and containerization tools, is commonly required. Strong problem-solving abilities, collaboration, and effective communication are essential soft skills for this role. These competencies ensure efficient development, deployment, and maintenance of reliable, high-performance streaming systems that handle large-scale real-time data.

What are some common challenges faced by streaming software engineers when optimizing real-time data delivery?

Streaming Software Engineers often encounter challenges related to latency, data consistency, and scalability when optimizing real-time data delivery. Maintaining low latency while handling large volumes of concurrent data streams requires careful architecture choices and efficient resource management. Additionally, ensuring data reliability and accuracy across distributed systems can be complex, especially as user demand grows. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver seamless streaming experiences.

What cities in Arizona are hiring for Streaming Software Engineer jobs?

Cities in Arizona with the most Streaming Software Engineer job openings:

Streaming Software Engineer jobs near you

Software Engineer

Phoenix, AZ • On-site

Judge Group, Inc.
Recruiting and Staffing Services • 5 - 10K employees
Learn more about Judge Group, Inc.external

$38 - $41/hr

Other

Re-posted 12 days ago

Job description

Location: Phoenix, AZ Salary: $38.00 USD Hourly - $41.00 USD Hourly Description:
Data Engineer - Google Cloud Platform (Contingent Assignment)
We are not accepting C2C or 1099 arrangements.
Location: Phoenix, AZ
Employment Type: Contingent / Contract
Experience Level: Mid-Senior (5+ Years)
About the Role
As a Data Engineer, you will design, develop, and optimize scalable data platforms and streaming solutions that support enterprise analytics, machine learning, and business intelligence initiatives. You will work within a highly collaborative engineering environment to build cloud-native data solutions, modernize legacy platforms, and improve data processing reliability, performance, and governance.
You will contribute to the design and implementation of high-volume data pipelines, real-time streaming frameworks, and lakehouse architectures using Google Cloud technologies and open-source data engineering tools.
Responsibilities
  • Design, develop, and maintain scalable batch and real-time data pipelines using Spark, Kafka, and Flink.
  • Build and support cloud-native data platforms on Google Cloud Platform (Google Cloud Platform), including BigQuery, Cloud Storage, Dataproc, and Cloud Composer.
  • Develop and optimize data processing workflows using Python, PySpark, SQL, and related technologies.
  • Implement modern data lakehouse architectures leveraging technologies such as Iceberg, Delta Lake, and Parquet.
  • Collaborate with software engineers, architects, product teams, and business stakeholders to deliver reliable data solutions.
  • Perform data migration and modernization initiatives from on-premises environments to cloud-native platforms.
  • Improve data quality, governance, observability, and operational efficiency through automation and engineering best practices.
  • Support CI/CD deployment processes and infrastructure automation for data platforms.
  • Participate in code reviews, technical discussions, and continuous improvement initiatives.
  • Research and evaluate new technologies and recommend solutions for complex data engineering challenges.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of experience in Data Engineering or Software Engineering.
  • 5+ years of hands-on experience with Hadoop ecosystems and Google Cloud data solutions.
  • Experience building and supporting distributed data processing solutions using Apache Spark.
  • 2+ years of experience developing streaming data solutions using Kafka, Flink, and Spark Streaming.
  • 3+ years of experience designing and implementing data lakehouse architectures.
  • Experience with:
    • Python and PySpark
    • Apache Kafka
    • Apache Airflow
    • SQL
    • Google Cloud Storage
    • BigQuery
    • Dataproc
    • Cloud Composer
  • Experience working with NoSQL databases, including columnar, graph, document, and key-value databases.
  • Strong understanding of scalable distributed computing and data engineering best practices.
Preferred Qualifications
  • Google Cloud Professional Data Engineer certification or equivalent cloud certification (AWS Specialty Data Analytics or Azure Data Engineer).
  • Experience migrating large-scale data platforms from on-premises environments to Google Cloud.
  • Strong knowledge of Hadoop ecosystem technologies, including:
    • Hive
    • HDFS
    • Parquet
    • Apache Iceberg
    • Delta Lake
  • Deep understanding of data warehouse architecture, cloud data platforms, data orchestration, and pipeline optimization.
  • Experience designing highly scalable, modular, and governance-driven data frameworks.
  • Knowledge of Generative AI frameworks such as LangChain and LangGraph for agent-based data applications.
  • Experience with DevOps and CI/CD practices, including Git, Jenkins, Docker, and Kubernetes.
  • Familiarity with React and Node.js development for data-focused web applications.
What You'll Bring
  • Strong problem-solving and analytical skills.
  • Ability to work effectively in a fast-paced, highly collaborative environment.
  • Excellent communication and stakeholder management capabilities.
  • Passion for modern data architectures, cloud technologies, and continuous learning.

Work Location: Phoenix, Arizona (Hybrid/Onsite as required)
Assignment Type: Contingent Workforce Assignment
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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