Talantix.io
Jobgether•22.02.26
AI SCORE 7.5

Data Engineer Intern - Remote

$40K–$60K/year
RemoteData Analysis
Python•SQL•Power BI•ETL•Data Analysis

About the Role

We are looking for a Data Engineer Intern - Remote to join our dynamic team at Jobgether. This internship provides a hands-on opportunity to work with enterprise-scale data systems that directly influence business outcomes. As a Data Engineer Intern, you will assist in building and optimizing ETL workflows using Python and SQL, ensuring that you gain valuable experience in data engineering.

What You'll Do

  • Assist in building and optimizing ETL workflows using Python and SQL.
  • Validate and monitor data to ensure accuracy and reliability.
  • Contribute to dashboards and reports using Power BI.
  • Document data flows, dictionaries, and processes for better understanding and transparency.
  • Participate in proof-of-concept solutions for campaign optimization.
  • Support strategy research by analyzing dialer metadata.
  • Collaborate with team members and present progress on tasks regularly.
  • Develop detail-oriented and analytical skills while eager to contribute to meaningful projects.

Requirements

  • Currently pursuing a degree in Computer Science, Data Science, or a related field.
  • Familiarity with Python and SQL is a must.
  • Basic understanding of data engineering concepts and ETL processes.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Detail-oriented mindset with a passion for data.
  • Ability to work independently and as part of a team.

Nice to Have

  • Experience with data visualization tools like Power BI or Tableau.
  • Knowledge of cloud platforms such as AWS or Azure.
  • Previous internship experience in data-related roles.

What We Offer

  • Exposure to modern tools and technologies in data engineering.
  • Real-world business applications experience that enhances your resume.
  • Collaborative problem-solving environment with a focus on learning.
  • Flexible working hours to accommodate your studies.
  • Networking opportunities with industry professionals.
  • Potential for future employment opportunities based on performance.
Why This Job7.5 of 10

This Data Engineer Intern role offers a unique opportunity to gain hands-on experience in data engineering while working remotely. You'll work with modern tools and technologies, making it a valuable addition to your resume.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Jobgether

Explore Jobgether careers in 2026 and discover a wide range of job openings, including remote, hybrid, and office roles. Our platform offers advanced filters, application tracking, and valuable company insights to enhance your job search experience. Uncover exciting career opportunities at Jobgether and take the next step towards your dream role today. Join us and shape your future in 2026.

Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficient in Python and SQL for building ETL workflows, with a strong understanding of data manipulation libraries such as Pandas and NumPy.

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Self-motivated and disciplined, able to thrive in a remote work environment while managing time effectively to meet project deadlines and deliverables.

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Analytical mindset with a keen interest in data analysis and visualization using tools like Power BI, demonstrating the ability to derive actionable insights from complex datasets.

Learning Resources

→Python for Data Science Handbookguide
→Data Analysis with Python and SQLcourse
→ETL Concepts and Techniquesarticle

Career Path

Data Engineer Intern(Now)→Junior Data Engineer(1-2 years)→Data Engineer(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
12.5%
AI Adoption in Data Engineering
65%
Investment in Data Solutions
+45%
Labour Demand for Data Engineers
+30%
Avg Salary for Data Engineers
$110K

Skills & Requirements

Required
PythonSQLPower BI
Growing in Demand
Machine LearningApache SparkData Warehousing
Declining
Excel for Data AnalysisHadoop MapReduce

Domain Trends

Increased Focus on Real-Time Data Processing
With 70% of organizations prioritizing real-time data analytics, skills in streaming technologies like Apache Kafka are becoming essential.
Rise of No-Code/Low-Code Data Tools
The adoption of no-code tools for data engineering is projected to grow by 40% in 2024, allowing more professionals to engage with data without extensive coding knowledge.
Emphasis on Data Privacy and Compliance
As 80% of companies are enhancing their data governance frameworks, knowledge in data privacy regulations like GDPR is increasingly valuable for data engineers.

Industry News

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