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Entry Level Streaming Data Engineer Jobs (NOW HIRING)

WorkNovas LLC

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 ...

247Hire

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

Sarian, Inc.

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 ...

Georgia IT, Inc.

Data Architect - Plano, TX

Plano, TX · On-site

$61.50 - $79/hr

... Engineering areas such as Batch/Streaming Data processing, Data Governance, Data Lineage, Data Security, Data Quality etc • Pyspark and DevOPs processes/tools • Experience in building data ...

Emonics LLC

Data Engineer - Entry Level

Santa Rosa, CA · On-site

$125K - $150K/yr

We are looking for an enthusiastic and detail-oriented Data Engineer - Entry Level to join our data engineering team. In this role, you will help build, maintain, and optimize data pipelines and data ...

Walmart

Data Engineer III

Bentonville, AR · On-site

$90K - $180K/yr

Data Engineer III Job Location: 811 Excellence Dr., Bentonville, AR 72716 Duties: Problem ... Design pipelines for processing streaming data using Apache Kafka core, Confluent Kafka connect ...

APN Consulting, Inc.

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Streaming, Flink, Kafka Streams). • Experience with cloud data warehouses, Snowflake, and data ... engineering. • Strong problem-solving skills and ability to optimize data processes for ...

Urus

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

AgSource

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

Urus Group LP

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

Farm Systems

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer * 2-3 years of hands-on experience in Data Engineering * Strong experience in ... Exposure to Kafka Streaming or real-time data processing frameworks * Experience with Azure or AWS ...

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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 Sep 10, 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.
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Cities with the most Entry Level Streaming Data Engineer job openings:

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Entry Level Streaming Data Engineer jobs near you
Infographic showing various Entry Level Streaming Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Big Data Engineer

Sunnyvale, CA • On-site

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees
Learn more about Texas State Library and Archives Commisionexternal

$65.50 - $86.50/hr

Full-time

Re-posted 22 days ago

Job description

Big Data Engineer:
Must Have:
• Proficiency in managing and manipulating huge datasets in the order of terabytes (TB) is essential
• Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance.
• Expertise in building idempotent workflows using orchestrators like Automic, Airflow, Luigi etc.
• Expertise in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL
• Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets
• Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work
• Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process
• Ability to move at rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative
• Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project
Nice to have:
• Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
• Good understanding of REST APIs - working knowledge on Apache Druid, Redis, Elastic search, GraphQL or similar technologies. Understanding of API contracts, building telemetry, stress testing etc.
• Exposure in developing reports/dashboards using Looker/Tableau
• Experience in eCommerce domain.
Tech stack: Google cloud, HDFS, SPARK, Scala, Python (optional), Automic/Airflow, BigQuery, Kafka, API, Druid

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