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Intern Streaming Data Engineer Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains ... Maintains and supports the development of streaming and batch data pipelines that facilitate the ...

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains ... Maintains and supports the development of streaming and batch data pipelines that facilitate the ...

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains ... Maintains and supports the development of streaming and batch data pipelines that facilitate the ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains ... Maintains and supports the development of streaming and batch data pipelines that facilitate the ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

Design, build, and maintain scalable batch and streaming data pipelines to support analytics and ... Translate business questions into engineering tasks and contribute to technical planning.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Design, build, and maintain scalable batch and streaming data pipelines to support analytics and ... Translate business questions into engineering tasks and contribute to technical planning.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Design, build, and maintain scalable batch and streaming data pipelines to support analytics and ... Translate business questions into engineering tasks and contribute to technical planning.

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years ... Develop and manage batch and streaming data processing using Dataflow / Apache Beam . * Work with ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Create robust data integration solutions that combine industrial IoT data streams with enterprise ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Create robust data integration solutions that combine industrial IoT data streams with enterprise ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Create robust data integration solutions that combine industrial IoT data streams with enterprise ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Create robust data integration solutions that combine industrial IoT data streams with enterprise ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Expertise in creating streaming and batch workflows in Databricks Lakehouse using Pyspark and Spark ... Data Engineering on Microsoft Azure, etc.

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Design and manage real-time processing flows using tools like Kafka, Spark Streaming to ensure ... as Data Engineer or Data Scientist or Database Engineer or DBA or Team Lead or Manager or ...

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Apache Kafka and Spark Streaming * Experience with real-time data processing and streaming ...

Senior Data Engineer

Atlanta, GA · On-site

$133K - $204K/yr

We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience ... Deep experience with batch and streaming data infrastructures. * Strong hands-on experience with ...

New

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... Strong proficiency with streaming platforms - Apache Kafka and/or Azure Event Hub for real-time IoT ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... Strong proficiency with streaming platforms - Apache Kafka and/or Azure Event Hub for real-time IoT ...

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract ... Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue ...

Build fault-tolerant, idempotent streaming architectures handling schema evolution, backpressure, and latency SLAs. * Lead architecture reviews, set engineering standards, and drive decisions on data ...

Showing results 21-40

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 Georgia? The most popular types of Streaming Data Engineer jobs in Georgia are:
What job categories do people searching Intern Streaming Data Engineer jobs in Georgia look for? The top searched job categories for Intern Streaming Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Intern Streaming Data Engineer jobs? Cities in Georgia with the most Intern Streaming Data Engineer job openings:
Infographic showing various Intern Streaming Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Cargill

Atlanta, GA • On-site

$113K - $136K/yr

Other

Posted 15 days ago


Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact

The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities
  • DATA & ANALYTICAL SOLUTIONS: Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • DATA PIPELINES: Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
  • DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
  • DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
  • DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
  • STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
  • DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
  • AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
  • DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
Qualifications

Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Preferred Qualifications

  • CLOUD ENVIRONMENTS: Familiarity with major cloud platforms (AWS, GCP, Azure). 
  • DATA ARCHITECTURE: Experience with modern data architectures, including data lakes, data lakehouses, and data hubs, along with related capabilities such as ingestion, governance, modeling, and observability. 
  • DATA INGESTION: Proficiency in data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet). 
  • DATA STREAMING: Knowledge of streaming architectures and tools (Kafka, Flink). 
  • DATA MODELING: Strong background in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow). Experience with modeling concepts like SCD and schema evolution. 
  • DATA TRANSFORMATION: Familiarity with using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI. 
  • PROGRAMMING: Proficient with programming in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization. 
  • DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD, and deployment strategies. 
  • DATA GOVERNANCE: Understanding of data governance principles, including data quality, privacy, and security considerations for data product development and consumption. 


The business will not sponsor applicants for work visa for this position.

Equal Opportunity Employer, including Disability/Vet.


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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US