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Entry Level Streaming Data Engineer Jobs (NOW HIRING)

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 ...

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Senior Data Engineer will design and scale the data infrastructure supporting my clients ... Experience with streaming data architecture using Kafka * Experience implementing data contracts ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers ... Design and maintain streaming data pipelines using Databricks, and Spark * Create ML Pipelines to ...

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Sunnyvale, CA & Bentonville, AR - (On-Site) -     Worknovas is looking for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka ...

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an enthusiastic and detail-oriented Entry-Level Data Engineer to join our data team. You will work with ...

New

Data Engineer

Fort Mill, SC · On-site

$113K - $155K/yr

Build and support streaming and batch workflows that process high-frequency IoT telemetry data from ... Collaborate with senior engineers, analysts, and data scientists to understand requirements and ...

New

Data Engineer

Fort Mill, SC · On-site

$113K - $155K/yr

Build and support streaming and batch workflows that process high-frequency IoT telemetry data from ... Collaborate with senior engineers, analysts, and data scientists to understand requirements and ...

New

Build and support streaming and batch workflows that process high-frequency IoT telemetry data from ... Collaborate with senior engineers, analysts, and data scientists to understand requirements and ...

New

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

Act as a liaison between users, data engineering teams, and platform engineering, providing ... Streaming data knowledge (e.g., Spark Structured Streaming). #J-18808-Ljbffr

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

Act as a liaison between users, data engineering teams, and platform engineering, providing ... Streaming data knowledge (e.g., Spark Structured Streaming). #J-18808-Ljbffr

Software Engineer, Data Platform

Mountain View, CA · On-site

$136K - $163K/yr

Responsibilities : • Design and develop unified, introspectable, large-scale batch and streaming ... data engineering, and its tooling and best practices • Knowledge of batch and streaming data ...

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Role: AWS Data Engineer Location: Seattle, WA Onsite position Fulltime position *****NO Corp to ... streaming data. Data Security: Implement data security best practices on AWS, including access ...

Showing results 21-40

Entry Level Streaming Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 21, 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.

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.
More about Entry Level Streaming Data Engineer jobs

What cities are hiring for Entry Level Streaming Data Engineer jobs?

Cities with the most Entry Level Streaming Data Engineer job openings:

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

The most popular types of Streaming Data Engineer jobs are:

Infographic showing various Entry Level Streaming Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Consultant, Data Engineer (Python/PySpark/AWS)

Infinitive

Ashburn, VA • On-site

$117K - $140K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. They are seeking a highly skilled and motivated Data Engineer to design, develop, and maintain data infrastructure, ensuring efficient data flow and processing to support clients' needs.
Responsibilities:
• Collaborate with cross-functional teams to understand data requirements and design robust data architecture solutions
• Develop data models and schema designs to optimize data storage and retrieval
• Implement ETL processes to extract, transform, and load data from various sources
• Ensure data quality, integrity, and consistency throughout the ETL pipeline
• Utilize your expertise in Python and PySpark to develop efficient data processing and analysis scripts
• Optimize code for performance and scalability, keeping up-to-date with the latest industry best practices
• Integrate data from different systems and sources to provide a unified view for analytical purposes
• Collaborate with data scientists and analysts to implement solutions that meet their data integration needs
• Design and implement streaming workflows using PySpark Streaming or other relevant technologies
• Develop batch processing workflows for large-scale data processing and analysis
• Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines using Jenkins or GitHub Actions
• Automate testing, code deployment, and monitoring processes to ensure the reliability of data pipelines
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Engineer or similar role
• Strong programming skills in Python and expertise in PySpark for both batch and streaming data processing
• Hands-on experience with ETL tools and processes
• Familiarity with CI/CD tools such as Jenkins or GitHub Actions
• Solid understanding of data modeling, database design, and data warehousing concepts
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
Preferred:
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud
• Experience with version control systems (e.g., Git)
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Understanding of data security and privacy best practices
Company:
Infinitive helps companies master the digital world with capabilities in marketing, digital advertising, business transformation and more. Founded in 2003, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.