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Entry Level Streaming Data Engineer Jobs (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI

$113.40K - $136.10K/yr

Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI ... Programming: Fluency in programming languages such as Python and SQL, and familiarity with others ...

Prophecy Technologies

AWS Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

The Loss Prevention Tech team as a Data Engineer is an engineer with deep expertise in designing ... streaming workloads. Key Responsibilities: * Work with business stakeholders and analysts to ...

United States Cold Storage Inc

Data Engineer

Camden, NJ

$115.50K - $138.70K/yr

Data Engineer Create trusted, scalable data foundations that drive real‑time decisions on a ... What You Will Own · Design, build, and operation of batch and streaming data pipelines. · ...

Programmers.io

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109.20K - $131.10K/yr

Strong programming skills in Python and/or Java ... Experience building batch and streaming pipelines * Knowledge of data modeling , partitioning, and ...

United States Cold Storage

Data Engineer

Camden, NJ

$115.50K - $138.70K/yr

Data Engineer Create trusted, scalable data foundations that drive realtime decisions on a national ... What You Will Own · Design, build, and operation of batch and streaming data pipelines. · ...

United States Cold Storage

Data Engineer

Camden, NJ

$115.50K - $138.70K/yr

Data Engineer Create trusted, scalable data foundations that drive realtime decisions on a national ... What You Will Own · Design, build, and operation of batch and streaming data pipelines. · ...

Allstate

OR · On-site

$114.40K - $137.40K/yr

In this role, you will focus on building robust batch and streaming data solutions using Apache ... You will work closely with analytics engineers, data scientists, product teams, and platform ...

New

Allstate

Data Engineer Consultant II

Chicago, IL · On-site

$118K - $141.80K/yr

In this role, you will focus on building robust batch and streaming data solutions using Apache ... You will work closely with analytics engineers, data scientists, product teams, and platform ...

Infinitive Inc

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117.10K - $140.60K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Streaming and Batch Workflows: * Design and implement streaming workflows using PySpark Streaming ...

Infinitive Inc

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117.10K - $140.60K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Streaming and Batch Workflows: * Design and implement streaming workflows using PySpark Streaming ...

GM Financial

Data Engineer

Irving, TX · On-site

$106.30K - $127.60K/yr

Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation * Work with data engineering ...

Navtech, Inc.

GCP Data Engineer

Lone Tree, CO · On-site

$60/hr

Cleansing, batch and stream processing, transformation, and consumption * Work with our cloud engineering team to setup and provision a team-sandbox with approved managed GCP data services to build ...

Revature

Entry Level Data Engineer

Arizona City, AZ

$115.30K - $138.40K/yr

As an Entry-Level Data Engineer at Revature, you will gain: Benefits of Working as a Data Engineer: * Strong Foundation in Data Infrastructure * Hands-on experience with tools and systems that power ...

United Airlines

Lead Data Engineer

Nashville, TN

$76.20K - $187.74K/yr

We are seeking a skilled Data Engineer with hands-on experience in Databricks and Google Cloud ... Develop batch and streaming data processes using Spark Streaming, and related technologies.

EchoStar

Data Engineer II

Littleton, CO · On-site

$116.69K/yr

Our business spans satellite television service, streaming and on-demand programming, smart home ... Job Duties and Responsibilities Data Engineer II sought by DISH Wireless in Littleton, CO. Maintain ...

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Entry Level Streaming Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of May 30, 2026, the average yearly pay for entry level streaming data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.

More about Entry Level Streaming Data Engineer jobs
What are the most commonly searched types of Streaming Data Engineer jobs? The most popular types of Streaming Data Engineer jobs are:
What job categories do people searching Entry Level Streaming Data Engineer jobs look for? The top searched job categories for Entry Level Streaming Data Engineer jobs are:
Entry Level Streaming Data Engineer jobs near you
AI Data Engineer

AI Data Engineer

IntraEdge

Detroit, MI

$113.40K - $136.10K/yr

Full-time

Posted 19 days ago

Job description

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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