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Entry Level Streaming Data Engineer Jobs in Cincinnati, OH

Implement and support Kafka-driven streaming solutions for near real-time data ingestion and ... Strong programming ability in Python for data engineering and automation tasks. * Working knowledge ...

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

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 ...

An Entry-Level Design Engineer job is currently available at Belcan in Cincinnati, OH. This is a ... Reviewing and checking designs, drawings and data by subordinate engineers, designers, and vendors

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Work closely with Data and Software Engineering teams to effectively productionize algorithms ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Entry-level Data Analytics role. Works under regular guidance and review; supports existing ... Developing skills in SQL, Git, and other general-purpose programming languages (e.g., Python)

Continuous Improvement Engineer

Monroe, OH · On-site

$75K - $100K/yr

... stream mapping, waste analysis, and process evaluations Collect and analyze operational data ... operations, engineering, quality, and leadership teams to drive improvements Train and mentor ...

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Entry Level Streaming Data Engineer information

See Cincinnati, OH salary details

$42.7K

$124.5K

$170.3K

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

As of Sep 3, 2026, the average yearly pay for entry level streaming data engineer in Cincinnati, OH is $124,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $131,900.00 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 Cincinnati, OH?

The most popular types of Streaming Data Engineer jobs in Cincinnati, OH are:

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

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

What cities near Cincinnati, OH are hiring for Entry Level Streaming Data Engineer jobs?

Cities near Cincinnati, OH with the most Entry Level Streaming Data Engineer job openings:

Infographic showing various Entry Level Streaming Data Engineer job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,460 per year, or $59.8 per hour.

DEX Engineer

Robert Half

Cincinnati, OH • Remote

Temporary

Posted 6 days ago


Job description

We are looking for a DEX Engineer to support data engineering initiatives for a long-term contract opportunity in Cincinnati, Ohio. This role is suited for someone who enjoys building dependable data solutions, improving data flow performance, and working with modern distributed processing technologies. The ideal candidate will help design and maintain scalable pipelines that enable efficient data movement, transformation, and access across the organization.
Responsibilities:
• Build and optimize large-scale data pipelines using Python and Apache Spark to support reliable data processing.
• Develop ETL workflows that collect, transform, and deliver data from multiple source systems into analytical platforms.
• Work with Hadoop-based environments to manage distributed data processing and storage effectively.
• Implement and support Kafka-driven streaming solutions for near real-time data ingestion and integration.
• Monitor pipeline performance, troubleshoot data issues, and improve processing efficiency across engineering workflows.
• Collaborate with technical teams to understand data needs and translate them into scalable engineering solutions.
• Maintain data quality standards by validating outputs, resolving inconsistencies, and supporting dependable data availability.
• Contribute to ongoing enhancements of data architecture, including updates to existing platforms and operational processes.• Hands-on experience with Apache Spark for large-volume data processing.
• Strong programming ability in Python for data engineering and automation tasks.
• Working knowledge of Apache Hadoop and distributed data ecosystems.
• Experience using Apache Kafka for event-driven or streaming data solutions.
• Proven background in ETL design, development, and support.
• Ability to troubleshoot data pipeline issues and improve performance in complex environments.
• Strong collaboration and communication skills in cross-functional technical settings.

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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948