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Entry Level Streaming Data Engineer Jobs in Phoenix, AZ

Data Engineer

Phoenix, AZ ยท On-site

$100 - $125/hr

Data Engineer -- Position Summary Adroit Affine is looking for a Data Engineer to design, build and ... APIs, databases, event streams and flat files. * Ensure data quality through testing, validation ...

Data Engineer

Scottsdale, AZ ยท On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note ... Knowledge of streaming frameworks (Spark Streaming, Kafka Streams). * Good to have - Aerospike ...

Data Engineer

Phoenix, AZ ยท On-site

$50 - $55/hr

A client of Innova Solutions is immediately hiring for a Data Engineer Job Type: Full-Time / ... Hands-on experience developing data flows using Kafka, Flink, and Spark streaming. Qualified ...

Data engineer with Java, Kafka, K SQL

Phoenix, AZ ยท On-site

$113K - $136K/yr

Keylent Inc is seeking a Data Engineer with expertise in Java, Kafka, and K SQL. The role involves ... streaming compute โ€ข Expertise in Enterprise level Business, Logical and Physical Data Model โ€ข ...

Machine Learning Engineer

Phoenix, AZ ยท On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine ... streaming data at production scale. ESSENTIAL DUTIES AND RESPONSIBILITIES High-Performance ...

Data and AI Engineer II

Phoenix, AZ ยท On-site

$109K - $131K/yr

Working knowledge of Azure Stream Architectures, dbt on Snowflake, Schema Change tools, Data ... Working knowledge of Software Engineering and Object Orient Programming Principles * Working ...

Data and AI Engineer II

Phoenix, AZ ยท On-site

$109K - $131K/yr

... Azure Stream Architectures, dbt on Snowflake, Schema Change tools, Data Dictionary tools, Azure ... Engineering and Object Orient Programming Principles Working knowledge of Snowflake-native ...

Ability to design and build complex data pipelines that either stream data in * Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL

Ability to design and build complex data pipelines that either stream data in * Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL

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 ...

Adobe AEP engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

... collect data from various sources using connectors and APIs including streaming ingestion * ID ... Data Engineering * Experience in designing and building Data Warehouse and Data lakes good ...

The large hyperscale data center campuses we design throughout the U.S. will give you the ... This position is an entry-level, engineer-in-training (EIT) developmental position that performs a ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Showing results 1-20

Entry Level Streaming Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do entry level streaming data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level streaming data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Streaming Data Engineer vs Data Analyst?

AspectEntry Level Streaming Data EngineerData Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark), basic programming, data modelingData visualization, SQL, statistical analysis, Excel
CertificationsOptional certifications in data engineering or cloud platformsCertifications in data analysis or business intelligence tools
Work EnvironmentDeveloping real-time data pipelines, working with streaming data systemsInterpreting data, creating reports, supporting decision-making
Industry UsageTech, finance, e-commerce, where real-time data processing is criticalMarketing, finance, healthcare, focusing on data insights

In summary, Entry Level Streaming Data Engineers focus on building and maintaining real-time data pipelines using streaming technologies, while Data Analysts interpret and visualize data to support business decisions. Both roles require different skill sets but are essential in data-driven industries.

Can I get an entry level streaming data engineer job with no experience?

Entry level streaming data engineer roles typically require some knowledge of data processing tools like Apache Kafka or Spark, and familiarity with programming languages such as Python or Java. While prior experience is often preferred, candidates with relevant internships, certifications, or strong foundational skills in data concepts can sometimes qualify for entry-level positions. Demonstrating a willingness to learn and understanding of streaming architectures can improve chances of securing such roles.

What is an entry level streaming data engineer?

An entry level streaming data engineer is a professional responsible for designing, building, and maintaining systems that process real-time data streams. They typically work with tools like Apache Kafka, Spark Streaming, or Flink and require foundational knowledge of programming, data architecture, and cloud platforms. This role often involves collaborating with data scientists and software engineers to ensure efficient data flow and availability.

What are the most commonly searched types of Streaming Data Engineer jobs in Phoenix, AZ?

The most popular types of Streaming Data Engineer jobs in Phoenix, AZ are:

What are popular job titles related to Entry Level Streaming Data Engineer jobs in Phoenix, AZ?

For Entry Level Streaming Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Entry Level Streaming Data Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Entry Level Streaming Data Engineer jobs in Phoenix, AZ are:

Infographic showing various Entry Level Streaming Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Senior GCP Data Engineer

Staffingine LLC

Phoenix, AZ โ€ข On-site

$105K - $143K/yr

Contractor

Re-posted 16 days ago


Job description

Job Title: Senior GCP Data Engineer
Job Location: Phoenix, AZ
Job Type: Contract

Job Description:

Data Engineering & Pipelines

  • Design and develop batch and streaming pipelines using Dataflow (Apache Beam)
  • Build real-time data pipelines using Pub/Sub
  • Develop cross-project data integrations ensuring security and scalability

Data Processing & Transformation

  • Perform complex data transformations using BigQuery (advanced SQL)
  • Implement data enrichment, aggregation, and transformation logic
  • Handle encryption/decryption within data workflows

Workflow Orchestration

  • Develop and manage Airflow DAGs via Cloud Composer
  • Orchestrate batch and streaming pipelines with dependency handling
  • Monitor, troubleshoot, and optimize workflows

Real-Time Processing

  • Build low-latency streaming solutions using Dataflow + Pub/Sub
  • Manage error handling, retries, late-arriving data, and idempotency

Integration & Collaboration

  • Integrate pipelines with marketing and analytics platforms
  • Work with cross-functional teams to deliver data-driven solutions

Required Skills

GCP Stack

  • Dataflow (Apache Beam) – batch & streaming
  • Pub/Sub – real-time messaging
  • BigQuery – advanced SQL & performance tuning
  • Cloud Composer (Airflow) – orchestration

Technical Skills

  • Python (advanced) – pipeline development & Airflow DAGs
  • SQL (advanced) – joins, window functions, large-scale analytics

Core Concepts

  • Event-driven architecture
  • Streaming data processing (exactly-once / at-least-once)
  • Error handling and replay strategies

Preferred Skills

  • Experience with marketing data platforms / customer data models
  • Exposure to data security, encryption, and compliance
  • Experience in multi-project GCP environments
  • Familiarity with CI/CD for data pipelines