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Intern Streaming Data Engineer Jobs in Ohio (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Cincinnati, OH · On-site

$111.70K - $134.20K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Deloitte

Sr Databricks Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

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 ...

New

Bread Financial

Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

The Data Engineer will take a prominent role in leading full stack development projects ... Involved in creating POCs to ingest and process streaming data using Spark and HDFS. - (10%) * ...

New

MphasiS Corporation USA

$102.10K - $122.70K/yr

... Streams, and Tasks Cloud & Architecture Build and manage data solutions on Amazon Web Services ... engineering pipelines for ML models Enable data availability for training, validation, and ...

McKesson Corporation

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers ... Experience working with structured and semi-structured data in batch and/or streaming environments

CoverMyMeds

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts ... Experience working with structured and semi-structured data in batch and/or streaming environments

McKesson

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts ... Experience working with structured and semi-structured data in batch and/or streaming environments

McKesson

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts ... Experience working with structured and semi-structured data in batch and/or streaming environments

Vertiv

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110.40K - $132.60K/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 ...

The Hartford

Lead Data Engineer - Generative AI

Columbus, OH · Hybrid

$110.60K - $132.80K/yr

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... Design, build and maintain scalable and robust real-time data streaming pipelinesusing technologies ...

A-TEK Inc.

Senior Data Engineer

Continental, OH · On-site +1

$160K - $170K/yr

Senior Data Engineer (Cloud & Data Modernization) A-TEK is seeking a Senior Data Engineer to ... Experience with real-time streaming or event-driven data architectures * AWS or Azure ...

New

Kemper

Senior Data Engineer

Cincinnati, OH

$101.70K - $138.20K/yr

Snowpipe, Streams, Tasks, File Formats, External Stages * Dynamic Tables and ELT pipeline ... Data warehousing and analytics engineering principles * Dimensional modeling and relational ...

A-TEK Inc.

Senior Data Engineer

Continental, OH · On-site

$93.70K - $127.30K/yr

Senior Data Engineer (Cloud & Data Modernization) A-TEK is seeking a Senior Data Engineer to ... Experience with real-time streaming or event-driven data architectures * AWS or Azure ...

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

Intern Streaming Data Engineer information

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 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 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 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 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:
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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 - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

Posted 18 days ago

Job description

Client - Lululemon
Data Engineer - Data Engineering
Location: Columbus, Ohio (On-site / Hybrid)
Role Type: Individual Contributor
Role Summary We are seeking a skilled Data Engineer with 5 years of hands-on experience building and maintaining robust data pipelines, data lakes, and analytical platforms. Based in Ohio, this is an individual contributor role with direct engagement with business stakeholders across lululemon's Ohio-based operations. The successful candidate will own end-to-end data engineering deliverables independently, translating business requirements into scalable, production-grade data solutions that power analytics and AI/ML workloads.
Key Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines using Python, Apache Spark, and Azure Data Factory to ingest data from diverse retail and operational sources into a centralised data lake (Microsoft Fabric / OneLake)
  • Engage directly with Ohio-based business teams (supply chain, store operations, finance, and merchandising) to gather data requirements, understand domain logic, and translate business needs into well-defined data models and pipeline specifications
  • Independently own the full data engineering lifecycle for assigned domains - from requirements gathering and data modelling through to pipeline deployment, monitoring, and ongoing optimisation
  • Build and manage Bronze, Silver, and Gold data layers in the lakehouse architecture, applying data quality checks, schema validation, and partitioning strategies to ensure reliable, performant datasets for downstream analytics and ML teams
  • Participate actively in agile ceremonies (sprint planning, stand-ups, retrospectives), self-manage delivery against sprint commitments, and proactively surface risks or blockers without requiring escalation
  • Implement and enforce data quality frameworks, lineage tracking, and cataloguing standards using Microsoft Purview, ensuring datasets meet governance and compliance requirements (GDPR, CCPA)
  • Support and contribute to Global Fulfillment and supply chain data initiatives, acting as the primary data engineering liaison for Ohio-based operational teams and ensuring timely delivery of data products that enable real-time decision-making
  • Stay current with emerging data engineering tools, patterns (e.g. data mesh, streaming architectures), and Microsoft Fabric capabilities; apply relevant advancements to continuously improve the data platform
    Qualifications
  • 5+ years of hands-on experience as a Data Engineer, with a proven track record of independently delivering production-grade data pipelines and data products in a cloud-based environment
  • Proficiency in Python and SQL for data transformation, with hands-on experience using Apache Spark (PySpark) for large-scale batch and streaming data processing
  • Solid understanding of data modelling concepts (dimensional modelling, star/snowflake schema, data vault) and experience building lakehouse architectures with Delta Lake or Apache Iceberg
  • Demonstrated ability to work directly with non-technical business stakeholders - gathering requirements, explaining data concepts in plain language, and iterating quickly on feedback to deliver business value
  • Experience with version control (Git), CI/CD pipelines, and DataOps practices - including automated testing of data pipelines and Infrastructure-as-Code (Terraform or Bicep)
  • Familiarity with data governance frameworks, data cataloguing (Microsoft Purview or Apache Atlas), and implementing data quality rules and observability monitoring within pipelines
  • Strong analytical mindset, attention to detail, and self-starter attitude - comfortable driving work forward independently in a fast-paced retail technology environment with minimal day-to-day supervision

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