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Intern Streaming Data Engineer Jobs in Ohio (NOW HIRING)

Qode

OH · On-site

$110K - $132K/yr

Data Engineer Location : Pittsburgh, PA / Cleveland, OH / Dallas, TX Experience : 4-8 Years Job ... Big Data & Streaming * Develop and support real-time and batch data processing solutions using ...

ComResource

Data Engineer Databricks (Remote)

Columbus, OH · Remote

$110K - $132K/yr

ComResource is looking for a Data Engineer - Databricks. Responsibilities: Data Engineering ... Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.

Americhem

Data Engineer Intern

Cuyahoga Falls, OH · On-site

We are seeking a motivated and detail-oriented Data Engineer Intern to support the design, preparation, integration, and improvement of enterprise data assets. This role is ideal for a candidate who ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Strong hands-on experience with Snowflake (SnowSQL, Snowpipe, Streams, Tasks, Data Sharing). * Experience in AWS ecosystem (S3, Redshift, Glue, Lambda, EMR). * Proficiency in SQL and one programming ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced ... Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.). * Experience in data governance ...

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company ... based, streaming, with standardized validation, error handling, and schema evolution support.

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company ... based, streaming, with standardized validation, error handling, and schema evolution support.

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

They are seeking a Data Engineer to build and maintain data ingestion systems, ensure data quality ... streaming, with standardized validation, error handling, and schema evolution support. • Design ...

Vertiv

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

... streaming ingestions. • Certifications or degrees in data engineering, computer science, or related fields. Company : Vertiv designs, builds and services critical infrastructure that enables vital ...

Genesis10

Senior GCP Data Architect - Hybrid

Columbus, OH · On-site

$88 - $100/hr

... streaming data Proficiency in SQL and experience with Python or Java for data engineering pipelines Strong understanding of distributed systems, workflow orchestration, real-time analytics, and event ...

TriOptus LLC

Snowflake Data Engineer

Cincinnati, OH · On-site

Snowpipe Streaming * Apache Iceberg * Governance Catalogs * Unity Catalog * Polaris * Experience ... engineering, stream processing and data insights. Cloud Data Platform team help maintain and ...

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All JobsIntern Streaming Data Engineer JobsIntern Streaming Data Engineer Jobs in Ohio

Intern Streaming Data Engineer information

What is the difference between Intern Streaming Data Engineer vs Intern Data Analyst?

AspectIntern Streaming Data EngineerIntern Data Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark Streaming), programming (Python, Java), data pipeline developmentData analysis, SQL, Excel, basic statistical skills
Work EnvironmentDeveloping real-time data pipelines, working with big data toolsAnalyzing stored data, generating reports and insights
Industry UsageTech, finance, e-commerce companies focusing on real-time data processingMarketing, business intelligence, research departments

The Intern Streaming Data Engineer focuses on building and maintaining real-time data pipelines using streaming technologies, requiring programming and big data skills. In contrast, the Intern Data Analyst primarily analyzes stored data to generate insights, emphasizing statistical and reporting skills. Both roles are common in data-driven industries but serve different functions within data management and analysis.

What does an Intern Streaming Data Engineer do?

An Intern Streaming Data Engineer assists in designing, developing, and maintaining systems that process real-time data streams. They typically work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to collect, process, and analyze data as it arrives. Their responsibilities may include writing code, troubleshooting data pipelines, and collaborating with senior engineers to ensure data flows efficiently. The role is ideal for students or recent graduates looking to gain hands-on experience with big data and real-time analytics.

What types of projects or tasks can an Intern Streaming Data Engineer expect to work on during their internship?

As an Intern Streaming Data Engineer, you can expect to work on projects involving the development, testing, and optimization of real-time data pipelines. Typical tasks may include assisting with the integration of streaming platforms like Apache Kafka or AWS Kinesis, writing and debugging code to process large volumes of incoming data, and collaborating with senior engineers to ensure data quality and reliability. You'll often work within a team of data engineers and analysts, gaining hands-on experience with the latest big data tools and contributing to solutions that support real-time analytics and business decision-making.

What are the key skills and qualifications needed to thrive as an Intern Streaming Data Engineer, and why are they important?

To thrive as an Intern Streaming Data Engineer, you typically need foundational knowledge in computer science, data engineering concepts, and familiarity with real-time data processing. Experience with tools like Apache Kafka, Apache Flink, or Spark Streaming, and programming languages such as Python or Java, is often preferred. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These skills and qualifications are crucial for efficiently building, maintaining, and troubleshooting streaming data pipelines in dynamic data-driven environments.
What are the most commonly searched types of Streaming Data Engineer jobs in Ohio? The most popular types of Streaming Data Engineer jobs in Ohio are:
What are popular job titles related to Intern Streaming Data Engineer jobs in Ohio? For Intern Streaming Data Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Intern Streaming Data Engineer jobs in Ohio look for? The top searched job categories for Intern Streaming Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Intern Streaming Data Engineer jobs? Cities in Ohio with the most Intern Streaming Data Engineer job openings:
Intern Streaming Data Engineer jobs near you

Data Engineer

Qode

OH • On-site

$110K - $132K/yr

Full-time

Posted 6 days ago

Job description

Role : Data Engineer

Location : Pittsburgh, PA / Cleveland, OH / Dallas, TX

Experience : 4-8 Years

Job Summary

We are seeking a highly motivated Data Engineer to join our growing team. The ideal candidate will have strong expertise in building scalable data pipelines, data integration frameworks, and distributed data processing solutions. The candidate should possess hands-on experience with Python, PySpark, Java, Kafka, Hadoop, REST APIs, and SQL, along with strong analytical and problem-solving skills.

This role requires collaboration with cross-functional teams to design, develop, and optimize enterprise data solutions that support business intelligence, analytics, and data-driven decision-making initiatives.

Key Responsibilities

Data Engineering & Development

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
  • Build and optimize large-scale data processing solutions using Python, PySpark, and Java.
  • Develop data ingestion frameworks for structured and unstructured data sources.
  • Integrate data from various systems through REST APIs, streaming platforms, and batch processing.
  • Work with large datasets in distributed computing environments.

Big Data & Streaming

  • Develop and support real-time and batch data processing solutions using Kafka and Hadoop ecosystem technologies.
  • Implement scalable streaming data pipelines and event-driven architectures.
  • Monitor and optimize data workflows for performance and reliability.

Database & Data Management

  • Write complex SQL queries for data extraction, transformation, and analysis.
  • Design and optimize database schemas and data models.
  • Ensure data quality, consistency, and governance standards are maintained.

Collaboration & Agile Delivery

  • Participate in Agile ceremonies including sprint planning, daily stand-ups, backlog grooming, and retrospectives.
  • Use Jira for project tracking, issue management, and sprint execution.
  • Collaborate with Data Architects, Data Scientists, Business Analysts, and Application Development teams.
  • Work independently as well as within a collaborative team environment.

Performance & Support

  • Troubleshoot and resolve data-related issues across environments.
  • Perform root cause analysis and implement long-term solutions.
  • Support production deployments and ongoing maintenance activities.

Required Skills

Programming Languages

  • Python
  • PySpark
  • Java

Data Technologies

  • Apache Kafka
  • Hadoop Ecosystem
  • SQL
  • Data Warehousing Concepts
  • ETL/ELT Development

Integration Technologies

  • REST APIs
  • Data Integration Frameworks
  • Streaming and Batch Processing

Tools & Methodologies

  • Jira
  • Agile/Scrum
  • Git Version Control

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 4+ years of experience in Data Engineering or Big Data development.
  • Hands-on experience with Python, PySpark, Java, Kafka, Hadoop, REST APIs, and SQL.
  • Strong analytical and problem-solving abilities.
  • Ability to work effectively in both team-oriented and independent environments.

Preferred Skills

  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of Spark optimization and performance tuning.


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