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Intern Streaming Data Engineer Jobs in Raleigh, NC

PowerSecure

Data Engineer - HYBRID/NC RESIDENTS ONLY

Durham, NC · Hybrid

$103K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer designs, builds, and operates reliable, scalable data pipelines on PowerSecure ... Responsibilities include batch/stream ingestion, data transformation (ELT), orchestration, data ...

Accenture

Google Data Specialist

Raleigh, NC · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

PowerSecure

Data Engineer - HYBRID/NC RESIDENTS ONLY

Durham, NC · On-site

$103K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer designs, builds, and operates reliable, scalable data pipelines on PowerSecure ... Responsibilities include batch/stream ingestion, data transformation (ELT), orchestration, data ...

Deloitte

Senior Forward Deployed Engineer- AWS

Raleigh, NC

$101K - $139K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Lead Forward Deployed Engineer - AWS

Raleigh, NC

$99K - $131K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Forward Deployed Engineer- AWS

Raleigh, NC

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

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All JobsIntern Streaming Data Engineer JobsIntern Streaming Data Engineer Jobs in Raleigh, NC

Intern Streaming Data Engineer information

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How much do intern streaming data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern streaming data engineer in Raleigh, NC is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $28.03 per hour, depending on experience, location, and employer.

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 are the most commonly searched types of Streaming Data Engineer jobs in Raleigh, NC?

The most popular types of Streaming Data Engineer jobs in Raleigh, NC are:

What are popular job titles related to Intern Streaming Data Engineer jobs in Raleigh, NC?

For Intern Streaming Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Intern Streaming Data Engineer jobs in Raleigh, NC look for?

The top searched job categories for Intern Streaming Data Engineer jobs in Raleigh, NC are:

Intern Streaming Data Engineer jobs near you
Infographic showing various Intern Streaming Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,391 per year, or $24.7 per hour.

Senior Data Engineer

Tata Consultancy Service Limited

Raleigh, NC • On-site

$100K - $120K/yr

Full-time

Posted 22 days ago

Job description

Senior Data Engineer
We are seeking a highly skilled Senior Data Engineer to architect, build, and optimize enterprise grade data pipelines across cloud, on prem, and hybrid environments. This role requires deep expertise in Qlik Replicate, Snowflake, DBT Cloud, Astronomer Airflow, and Python based ingestion frameworks, with strong engineering discipline around schema governance, DevOps CI/CD, monitoring, and performance optimization. The ideal candidate thrives in complex data ecosystems and brings a strong mindset around automation, metadata driven design, and secure, governed ingestion.
Responsibilities:
Data Pipeline Architecture & Development
• Design and implement scalable, resilient data pipelines using Snowflake features including Snowpipe, Tasks, Streams, Dynamic Tables, and advanced SQL.
• Build and maintain DBT models with strong testing, documentation, and lineage.
• Develop Python ingestion frameworks for files and APIs, including schema validation, retries, and metadata capture.
• Engineer ingestion for CSV, fixed width multi record layouts, JSON, XML, Excel, and semi structured formats.
• Design Mainframe VSAM data ingestion pattern for complex EBCDIC data formats.
Schema Drift & Schema Evolution
• Detect, analyze, and manage schema drift across file, API, and replicated database sources.
• Implement metadata driven schema evolution strategies to ensure downstream stability.
• Coordinate schema changes through controlled CI/CD workflows.
Database Replication & CDC
• Configure and manage Qlik Replicate tasks for CDC and full load replication from Oracle, SQL Server, and DB2.
• Ensure idempotent, auditable, and recoverable replication pipelines with strong monitoring and reconciliation.
Data Governance, Security & Tokenization
• Implement and maintain Snowflake Data Masking policies, including dynamic masking, conditional masking, and role based masking rules.
• Apply Protegrity tokenization for sensitive data fields across ingestion and transformation layers.
• Enforce RBAC, data access controls, and governance standards across Snowflake and supporting systems.
Orchestration & Automation
• Build and schedule workflows using Astronomer Airflow, ensuring dependency management, retries, SLAs, and observability.
• Integrate pipelines with enterprise DevOps processes using GitLab and Azure DevOps for CI/CD automation.
Version Control & Code Quality
• Manage code repositories using GitLab, including branching strategies, merge requests, code reviews, and approvals.
Monitoring, Alerting & Performance Optimization
• Implement monitoring and alerting for ingestion pipelines, schema drift, replication, and transformation workloads.
• Optimize Snowflake compute, storage, and query performance; scale ingestion pipelines to meet evolving data volume and latency requirements.
Required Skills & Experience:
• 8+ years of hands on data engineering experience.
• Deep expertise with Snowflake, including data masking policies, RBAC, performance tuning, and advanced SQL.
• Strong experience with Qlik Replicate for CDC and database replication.
• Excellent proficiency in Python and Pyspark for ingestion frameworks and automation.
• Hands on experience with DBT Cloud and Astronomer Airflow.
• Experience with schema drift detection and schema evolution patterns.
• Experience with GitLab and CI/CD pipelines.
• Familiarity with Protegrity or similar data protection platforms.
Salary Range- $100,000-$120,000 a year
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