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Intern Streaming Data Engineer Jobs in Georgia (NOW HIRING)

Data Tech Lead with Java

Alpharetta, GA ยท On-site

$111K - $134K/yr

... streaming data pipelines. The ideal candidate should possess strong expertise in Databricks ... engineering and distributed processing concepts. - Experience in data migration projects ...

Senior Data Architect

Atlanta, GA ยท On-site

$150K - $160K/yr

Guide engineering teams in designing consistent data contracts, entity relationships, event structures, streaming data models, metadata models, and integration patterns. Database and Data Store ...

Senior Data Architect

Atlanta, GA ยท Hybrid

$64.75 - $86.50/hr

Guide engineering teams in designing consistent data contracts, entity relationships, event structures, streaming data models, metadata models, and integration patterns. Database and Data Store ...

Data Engineer

Atlanta, GA ยท On-site

$80K - $120K/yr

Maintains and supports the development of streaming and batch data pipelines that facilitate the ... PROGRAMMING: Proficient with programming in Python, SQL, or similar languages. Expert-level ...

Data Engineer

Atlanta, GA ยท On-site

$80K - $120K/yr

Maintains and supports the development of streaming and batch data pipelines that facilitate the ... PROGRAMMING:Proficientwithprogrammingin Python, SQL, or similar languages. Expert ...

Data Engineer

Atlanta, GA ยท On-site

$80K - $120K/yr

Maintains and supports the development of streaming and batch data pipelines that facilitate the ... PROGRAMMING:Proficientwithprogrammingin Python, SQL, or similar languages. Expert ...

Senior Data Engineer

Alpharetta, GA ยท On-site

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM ... Enable streaming and near real-time data pipelines where required by AI systems * Pipeline ...

Senior Data Engineer

Alpharetta, GA

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM ... Enable streaming and near real-time data pipelines where required by AI systems * Pipeline ...

Data Platform Engineer

Atlanta, GA ยท On-site

$145K - $175K/yr

Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a ... Platform Engineering, with a proven track record of deploying and maintaining scalable Data ...

Data Platform Engineer

Atlanta, GA ยท On-site +1

$145K - $175K/yr

Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a ... Platform Engineering, with a proven track record of deploying and maintaining scalable Data ...

Sr Data Engineer

Duluth, GA ยท On-site

$130K - $135K/yr

About this Position We are seeking an experienced Senior Data Engineer to design, develop, and ... Experience with streaming platforms such as Kafka, AWS Kinesis * Experience with BI/reporting tools ...

Online Data Engineer

Atlanta, GA ยท On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Experience building Batch and Streaming pipelines * Experience writing analytical SQL queries

Senior Data Engineer

Atlanta, GA

$101K - $138K/yr

Develop and maintain batch and streaming data pipelines and data platforms using modern tools and ... Follow and promote software engineering best practices, including testing, version control ...

Online Data Engineer

Atlanta, GA ยท On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Experience building Batch and Streaming pipelines * Experience writing analytical SQL queries

Online Data Engineer

Atlanta, GA ยท On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Experience building Batch and Streaming pipelines * Experience writing analytical SQL queries

Senior Data Engineer

Atlanta, GA ยท On-site

$101K - $138K/yr

Develop and maintain batch and streaming data pipelines and data platforms using modern tools and ... Follow and promote software engineering best practices, including testing, version control ...

Showing results 41-60

Intern Streaming Data Engineer information

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 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 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 Tech Lead with Java

WB Solutions LLC

Alpharetta, GA โ€ข On-site

$111K - $134K/yr

Other

Posted 19 days ago


Job description

Data Tech Lead with Java
Alpharetta GA (or) Berkley Hills NJ
1. Role Overview
Experienced Data Technical Lead to design, develop, and support scalable cloud-based data platforms and streaming data pipelines.
The ideal candidate should possess strong expertise in Databricks, PySpark, Python, Java-based streaming technologies, GitLab CI/CD pipelines, and cloud migration initiatives.
2. Key Responsibilities
- Design and develop scalable Databricks ETL/ELT pipelines (Lakeflow & LakeBase) using Azure Databricks, PySpark, and Python.
- Implement real-time and batch data ingestion frameworks using Kafka and Java-based streaming solutions.
- Develop and optimize data processing workflows in Azure Databricks.
- Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and cloud platforms.
- Build reusable frameworks for data ingestion, transformation, validation, and orchestration.
- Develop SQL-based data transformations, reporting datasets, and performance optimization solutions.
- Design and implement GitLab CI/CD pipelines for automated deployment, testing, and release management of Databricks notebooks, jobs, and data pipelines.
- Support Snowflake on-premises to Azure cloud migration initiatives.
- Ensure coding standards, performance tuning, monitoring, and operational stability of data pipelines.
- Develop Power BI dashboards and reports for business intelligence and analytics reporting.
- Develop API automation and integration solutions for data exchange between enterprise systems.
3. Required Skills.
- Strong experience in Python and PySpark development.
- Hands-on experience with Azure Databricks and databricks SQL.
- Experience in Java-based streaming and ingestion frameworks.
- Strong knowledge of Apache Kafka streaming concepts.
- Experience working with PostgreSQL databases.
- Experience with YugabyteDB or Cassandra-based NoSQL databases.
- Strong SQL development and query optimization skills.
- Hands-on experience with GitLab CI/CD pipeline development and deployment automation.
- Understanding cloud-based data engineering and distributed processing concepts.
- Experience in data migration projects, especially Snowflake on-prem to Azure cloud migration.
- Experience designing enterprise-scale data lake or lakehouse architectures.
- Knowledge of streaming architectures and real-time analytics.
- Familiarity with cloud monitoring and observability tools.

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