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Data Engineer Internship Remote Jobs (NOW HIRING)

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United ... internships, co-ops, or academic projects with relevant tools count toward this). * Hands-on ...

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... About the internship As the newest addition to Team Clerkie, this Software Engineer Intern will ...

Azure Data Engineer (Remote)

$117K - $140K/yr

Azure Data Engineer Notes: 3 Total Positions (End Client - Energy) Completely remote (CST) 3 Data Engineers Overview of Project: Project is migration of informatica and oracle existing on prem data ...

... of engineering projects of varying scope and complexities. This internship is a full-time ... Provide communications, remote, and on-site support to job sites and site teams to expedite parts ...

... of engineering projects of varying scope and complexities. This internship is a full-time ... Provide communications, remote, and on-site support to job sites and site teams to expedite parts ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Pittsburgh, PA · Remote

$117K - $140K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Charlotte, NC · Remote

$106K - $128K/yr

Title: Data Engineer Pay: 50/hr W2 Duration: 4-6 month contract Location: 100% Remote Summary We are seeking a skilled and proactive Data Engineer to join a dynamic team working on building and ...

Sr. Big Data Engineer - Remote

$57 - $75.50/hr

NAVA Software solutions is looking for a Sr. Big Data Engineer Details: Sr. Big Data Engineer Duration: 6-12 months Location: Remote project Client is looking for a Big Data Engineer having ...

Data Engineer

$117K - $140K/yr

Hi, Our client is looking for a Data Engineer for Remote below is the detailed requirement. Job Title: Data Engineer Location: Remote Role * Bachelor's degree in related field. * Hands-on experience ...

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Data Engineer Internship Remote information

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How much do data engineer internship remote jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for data engineer internship remote in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a remote Data Engineer Intern?

As a remote Data Engineer Intern, your daily responsibilities often include assisting with data extraction, transformation, and loading (ETL) processes, cleaning and organizing datasets, and helping to build or maintain data pipelines. You may also work on tasks such as writing scripts in SQL or Python, contributing to database schema design, and documenting your work for team collaboration. Regular communication with your supervisor and team, participating in virtual meetings, and collaborating on version control platforms like Git are also common aspects of the role. These experiences offer valuable insight into real-world data engineering workflows and prepare you for more advanced responsibilities in the field.

What is a Data Engineer Internship Remote job?

A Data Engineer Internship Remote job is a temporary, online position where interns assist with building, maintaining, and optimizing data pipelines and infrastructure. Interns work with large datasets, databases, and ETL processes to support business intelligence and analytics teams. They gain experience in cloud platforms, SQL, Python, and data warehousing while collaborating with engineers and analysts. This remote role allows flexibility while providing hands-on experience in data engineering best practices.

What are the key skills and qualifications needed to thrive in the Data Engineer Internship Remote position, and why are they important?

To excel as a Data Engineer Intern in a remote setting, you need a solid grounding in computer science, data structures, and programming concepts, often supported by coursework or experience in related fields. Familiarity with data modeling, SQL, Python, cloud platforms (like AWS or Azure), and tools such as Apache Spark or Airflow is highly valuable, along with any project-based experience or relevant certifications. Strong communication, self-motivation, and time management skills are crucial for working efficiently and collaboratively in a remote environment. These abilities enable you to handle data workflows, solve technical problems, and contribute effectively to distributed teams in real-world projects.

More about Data Engineer Internship Remote jobs
What cities are hiring for Data Engineer Internship Remote jobs? Cities with the most Data Engineer Internship Remote job openings:
What states have the most Data Engineer Internship Remote jobs? States with the most job openings for Data Engineer Internship Remote jobs include:
Infographic showing various Data Engineer Internship Remote job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

$117K - $140K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Position Overview
V4C.ai is seeking a motivated Data Engineer to join our remote team in the United States. In this role, you will support the design, development, and maintenance of data solutions using Databricks, helping clients and internal teams process, transform, and analyze data effectively. You'll work on building reliable data pipelines and workflows in a collaborative environment, gaining hands-on experience with modern data engineering tools and cloud technologies.
Key Responsibilities
  • Collaborate with team members and stakeholders to understand data requirements and contribute to building scalable data pipelines and workflows in Databricks.
  • Develop and implement ETL/ELT processes using Databricks, Python, SQL, and related tools to ingest, transform, and prepare data.
  • Assist in optimizing data workflows for better performance, reliability, and cost-efficiency within Databricks environments.
  • Support the creation and maintenance of data models, tables, and integrations in cloud platforms (Azure, AWS, or similar).
  • Work closely with cross-functional teams (data analysts, scientists, and engineers) to deliver clean, accessible data for analytics and reporting.
  • Monitor data pipelines, troubleshoot basic issues, and contribute to documentation and best practices.
  • Stay curious about new Databricks features and data engineering trends to support ongoing improvements.
Requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
  • 1-2 years of professional experience in data engineering, data processing, analytics engineering, or a closely related role (internships, co-ops, or academic projects with relevant tools count toward this).
  • Hands-on experience and comfort building basic data pipelines or transformations.
  • Proficiency in Python and SQL; experience with Scala is a plus but not required.
  • Basic understanding of cloud platforms such as Azure, AWS, or GCP (ex: working with storage, compute, or data services).
  • Solid analytical and problem-solving skills with attention to detail and a focus on writing clean, maintainable code.
  • Strong communication skills and ability to work collaboratively in a remote team environment.
  • Eagerness to learn, take ownership of tasks, and grow within data engineering.