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Intern Streaming Data Engineer Jobs in Raleigh, NC

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 ...

SAS

Software Developer (Golang)

Cary, NC · On-site +1

About the job The Foundations Orchestration team is looking for a Software Developer to advance our streaming data orchestration framework. Our team uses cutting-edge architectures and languages to ...

Deloitte

Senior Forward Deployed Engineer- AWS

Raleigh, NC

$101K - $139K/yr

... streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience withMLOps/LLMOpspractices: evaluation frameworks, model monitoring, and ...

SAS

Software Developer (Golang)

Cary, NC · On-site

About the job The Foundations Orchestration team is looking for a Software Developer to advance our streaming data orchestration framework. Our team uses cutting-edge architectures and languages to ...

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

Intern Streaming Data Engineer information

See Raleigh, NC salary details

$13

$24

$37

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

As of Jul 9, 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 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 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
Data Solutions Engineer - Databricks (Local Candidates Only - Durham, NC)

Data Solutions Engineer - Databricks (Local Candidates Only - Durham, NC)

PowerSecure

Durham, NC • On-site

$103K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Job Summary:
The Data Engineer designs, builds, and operates reliable, scalable data pipelines on PowerSecure's Azure data platform to enable trusted analytics and self-service BI. This role partners with BI Developers, the Data Architect, and business stakeholders to ingest, model, and deliver high-quality data using Azure Data Factory, Databricks (PySpark/Spark SQL), and Delta Lake (including Delta Live Tables). Responsibilities include batch/stream ingestion, data transformation (ELT), orchestration, data quality enforcement, and operational support.
Minimum Qualifications: (Education, Experience, Knowledge, and Skills):
  • 2+ years of hands-on data engineering (or comparable software engineering with significant
    data work)
  • 2+ years building pipelines on Azure and Databricks (or equivalent cloud + Spark)
  • Strong SQL (analytical queries, window functions), PySpark/Spark SQL, and data modeling fundamentals
  • Bachelor's degree in MIS, Computer Science, Engineering, or equivalent experience
  • Proficiency with SQL and Python (PySpark), including performance tuning on large datasets
  • Experience with Azure Databricks, Delta Lake, Delta Live Tables (DLT), Azure Data Factory (or Fabric Data Pipelines), ADLS Gen2, and Azure DevOps/Git for CI/CD
  • Working knowledge of Unity Catalog and/or Microsoft Purview for governance, lineage, and security
  • Familiarity with data ingestion patterns (files, APIs, JDBC), schema evolution, CDC, and deletion detection patterns
  • Understanding of dimensional modeling to produce analytics-ready datasets for Power BI
  • Exposure to orchestration/monitoring, cost optimization, alerting, and runbook-driven operations
  • Data pipeline design (batch & streaming), DLT expectations for data quality, and robust error handling
  • Source control, branching strategies, and CI/CD for data assets (notebooks, jobs, workflows)
  • Practical understanding of privacy, security, and RBAC in cloud data platforms
  • Excellent communication, documentation, and cross-functional collaboration skills
  • Analytical mindset; bias toward automation and measurable reliability
  • Applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa sponsorship.

Job Duties and Responsibilities:
  • Design, implement, and support end-to-end ELT pipelines (ingest → transform → publish) in Databricks/ADF
  • Implement data quality checks (DLT expectations, unit tests) with alerting and remediation runbooks
  • Build curated, analytics-ready Delta tables using dimensional modeling for consumption by BI Developers
  • Implement CDC and deletion-flag patterns; manage schema drift and partitioning/Z-Ordering strategies
  • Operationalize jobs with monitoring, logging, alerting; participate in an on-call rotation as needed
  • Partner with the Data Architect to align designs with standards for governance, security, and cost efficiency
  • Document pipelines, data contracts, and SLAs; continuously improve performance and reliability

Working Conditions:
  • This position is remote
  • Occasional,travel may be required for training or meetings.
  • Must be able to work flexible hours to accommodate different time zones (Central/Eastern/Mountain/Pacific), if necessary.
  • Be flexible for after-hours tasks, as needed.

About Us
PowerSecure, a Southern Company subsidiary, is a leading provider of innovative energy solutions to electric utilities and their industrial, institutional, and commercial customers.
Join Our Power Team!
We invest in high-value and cost-effective benefits for our employees. Our benefits
package includes:
  • Medical, dental, vision and life insurance coverage
  • Competitive pay and a matching 401 (k) plan
  • Vacation, Company Holidays, Paid Time Off (PTO- personal and sick days)
  • Flexible spending accounts/Health savings account
  • Wellness Incentive Programs
  • Employee Referral Program
  • Tuition Reimbursement

The above statements are intended to describe the general nature and level of work being performed
by individuals assigned to this position. They are not intended to be an exhaustive list of all
responsibilities, duties, and skills required. Management reserves the right to assign or reassign
duties and responsibilities at any time, based on business needs.
PowerSecure is an equal opportunity employer where an applicant's qualifications are considered
without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic
information, sexual orientation, gender identity or expression, or any other basis prohibited by law
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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