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Intern Streaming Data Engineer Jobs in Tennessee

Yusen Logistics

Sr. Data Engineer

Cordova, TN

$99K - $118K/yr

Develop data streaming pipelines using technologies such as Apache Kafka, Apache NiFi, and Apache Spark. * Monitor and maintain data streaming pipelines, ensuring high availability and timely ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN · On-site

$99K - $118K/yr

Develop data streaming pipelines using technologies such as Apache Kafka, Apache NiFi, and Apache Spark. * Monitor and maintain data streaming pipelines, ensuring high availability and timely ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN

$99K - $118K/yr

We are seeking a talented and highly motivated SQL and NoSQL Developer/Data Streaming Engineer to join our dynamic team. The ideal candidate should have a strong background in software development ...

Nissan Motor Co., Ltd.

Data Engineer

Franklin, TN · On-site

$113K - $135K/yr

The Data Engineer builds and maintains reliable, scalable data pipelines that make data available ... Design, build, and maintain data pipelines (batch and streaming) * Ingest data from multiple source ...

Nissan Motor Manufacturing UK

Data Engineer

Franklin, TN · Hybrid

$113K - $135K/yr

The Data Engineer builds and maintains reliable, scalable data pipelines that make data available ... Design, build, and maintain data pipelines (batch and streaming) * Ingest data from multiple source ...

Accenture

Google Data Specialist

Nashville, TN · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Implement data ingestion patterns for batch and streaming data sources. * Support development of ...

Accenture

Google Data Specialist

Morristown, TN · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Implement data ingestion patterns for batch and streaming data sources. * Support development of ...

Minth North America

Quality Engineer Intern

Lewisburg, TN · On-site

$17 - $19/hr

The Quality Engineer Intern will assist the quality engineering team in ensuring that products are ... The intern will gain hands-on experience in quality control, testing, data analysis, and process ...

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All JobsIntern Streaming Data Engineer JobsIntern Streaming Data Engineer Jobs in Tennessee

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 popular job titles related to Intern Streaming Data Engineer jobs in Tennessee? For Intern Streaming Data Engineer jobs in Tennessee, the most frequently searched job titles are:
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Intern Streaming Data Engineer jobs near you
Senior Data Engineer (Innovation Business Unit)

Senior Data Engineer (Innovation Business Unit)

FOCUSPOINT

Brentwood, TN • On-site

$100K - $136K/yr

Contractor

Re-posted 23 days ago

Job description

Position: Senior Data Engineer
Location: Brentwood, TN
Employment Type: Full time (contract)
Compensation: Commensurate with experience

Senior Data Engineer – FocusPoint Talent Solutions (Client‑Facing Role)

FocusPoint is partnering with a growing technology‑driven organization to identify a Data Engineer who can build, optimize, and maintain modern data pipelines supporting real‑time, high‑volume analytics. This is a hands‑on technical role for someone who thrives in fast‑moving environments, collaborates well with stakeholders, and can turn complex data challenges into production‑ready solutions.

Role Overview

The Data Engineer will design and maintain scalable data pipelines across Azure and Databricks, integrate data from a wide range of internal and external sources, and ensure that all datasets are time‑synchronized, reliable, and optimized for downstream consumption. This position requires strong engineering fundamentals, excellent listening skills, and the ability to deliver high‑quality data products quickly within a structured SDLC.

Key Responsibilities

  • Build, optimize, and maintain Azure‑based data pipelines and cloud architectures.
  • Develop and manage Databricks workflows, notebooks, and cluster configurations.
  • Integrate data from dozens of disparate sources, including APIs, streaming feeds, and batch systems.
  • Ensure time synchronization and alignment across real‑time and near‑real‑time datasets.
  • Design and optimize table structures, storage formats, and query performance for analytical workloads.
  • Implement robust ETL/ELT processes that support both operational and analytical use cases.
  • Work with APIs to ingest, transform, and validate high‑velocity data streams.
  • Collaborate closely with product, engineering, and business teams—listening actively to requirements and translating them into technical solutions.
  • Deliver data products quickly while maintaining quality, reliability, and adherence to SDLC best practices.
  • Monitor pipeline performance, troubleshoot issues, and continuously improve system efficiency and scalability.

Required Skills & Experience

  • Hands‑on experience with Azure data services (e.g., Data Factory, Databricks, ADLS, Azure SQL).
  • Strong proficiency in Databricks for data engineering, transformation, and optimization.
  • Proven ability to design and optimize table structures, storage layers, and query performance.
  • Experience pulling and integrating data from multiple heterogeneous sources, including APIs.
  • Background working with real‑time or streaming data and ensuring accurate time alignment.
  • Solid understanding of ETL/ELT pipelines, data modeling, and workflow orchestration.
  • Familiarity with SDLC, version control, and production deployment practices.
  • Strong communication and listening skills, with the ability to translate business needs into technical solutions.
  • Ability to deliver high‑quality work quickly in a dynamic environment.

Why Work with FocusPoint
As a trusted staffing partner to industry-leading companies, FocusPoint provides access to roles that align with your professional goals, and we advocate for your success throughout the recruitment process. Our team understands appropriate skillsets and takes a consultative approach ensuring that each match is grounded in both experience and fit.

How to Apply
To ensure confidentiality and alignment with our client’s hiring process, all applications must be submitted through FocusPoint. Please do not attempt to contact the client directly. Interested candidates should reach out to FocusPoint’s recruitment team with any questions.

About FocusPoint:
FocusPoint specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.
 
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