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Data Engineer Internship Remote Jobs in Reston, VA

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $85/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ...

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ...

Lead Data Engineer

Reston, VA · Remote

$106K - $140K/yr

Remote. Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer science, or a related technical field required; aMaster'sdegree is preferred. Clearance Level

Lead Data Engineer

Reston, VA · Remote

$106K - $140K/yr

Remote . Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer science, or a related technical field required; a M aster's degree is preferred. Clearance Level

Data Engineer with Security Clearance

Chantilly, VA · On-site +1

$118K - $142K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Remote Security Clearance: DHS Suitability - contract requires U.S. Citizenship Must Have Qualifications: 5+ years of experience in Data/ML engineering (if school experience is used, at most that ...

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Data Engineer Internship Remote information

See Reston, VA salary details

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$26

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

As of Jun 21, 2026, the average hourly pay for data engineer internship remote in Reston, VA is $26.44, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $30.00 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.

What are popular job titles related to Data Engineer Internship Remote jobs in Reston, VA? For Data Engineer Internship Remote jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship Remote jobs in Reston, VA look for? The top searched job categories for Data Engineer Internship Remote jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Engineer Internship Remote jobs? Cities near Reston, VA with the most Data Engineer Internship Remote job openings:
Infographic showing various Data Engineer Internship Remote job openings in Reston, VA as of June 2026, with employment types broken down into 69% Full Time, 16% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $55,000 per year, or $26.4 per hour.

Databricks Data Engineer - Remote - Public Trust Clearance Requi with Security Clearance

SOC/Day & Zimmermann Federal Services

Washington, DC • Remote

$66.09/hr

Contractor

Posted 15 days ago


Job description

Databricks Data Engineer needed for a Contract to Hire opportunity with SOC's client to work REMOTE. *Candidates must have a current Public Trust clearance to be considered for this role. Our client is seeking a Databricks Data Engineer to develop/support new/existing data pipelines, and data analytics environments in Azure cloud-based data lake.

As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale Microsoft Azure based data analytics platform. You will support continued maintenance of ETL operations and development of new pipelines ensuring data quality and data management. The ideal candidate will bring deep expertise in Databricks, a solid foundation in advanced AI technologies, and applies critical thinking to create innovative functions and solve technical issues by cross-functional team collaboration.

Candidate must be a U.S. citizen. This role is remote for candidates located within the United States; however, the ideal candidate will be based in or willing to regularly travel to the Washington, DC or Indianapolis, IN area to support periodic on-site activities.

In this role, you will: - Design, build, and optimize scalable data solutions using Databricks and Medallion Architecture. - Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously, where each project may have multiple Databricks workspaces. - Integrate data from various structured and unstructured sources to enable high-quality business insights.

Proficiency in data analysis techniques for deriving insights from large datasets. - Implement effective data management strategies to ensure data integrity, availability, and accessibility. Identify opportunities for cost optimization in data storage, processing, and analytics operations.

- Monitor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management. - Collaborate with the team to enable advanced AI-driven analytics and data science workflows. - Integrate with various Azure services including Azure Functions, Storage Services, Data Factory, Log Analytics, and User Management for seamless data workflows.

- Experience with the above Azure services is a plus. - Provision and manage infrastructure using Infrastructure-as-Code (IaC) - Apply best practices for data security, data governance, and compliance, ensuring support for federal regulations and public trust standards. - Proactively collaborate with technical and non-technical teams to gather requirements and translate business needs into data solutions.

For this position, you must possess: - BS degree in Computer Science or related field and 3+ years or Master's degree with 2+ years of experience - 3+ years of experience developing and designing Ingestion flows (structured, streaming, and unstructured data) using cloud platform services with data quality - Databricks Data Engineer certification and 2+ years of experience maintaining Databricks platform and development in Spark - Ability to work directly with clients and act as front line support for requests coming in from clients. Clearly document and express the solution in form of architecture and interface diagrams. - Proficient at Python, Spark and R are essential.

.NET based development is a plus. - Knowledge and experience with data governance, including metadata management, enterprise data catalog, design standards, data quality governance, and data security. - Experience with Agile process methodology, CI/CD automation, and cloud-based developments (Azure, AWS).

- Not required, but additional education, certifications, and/or experience are a plus: Certifications in Azure cloud, Knowledge of FinOps principles and cost management to be considered US Citizen to be considered. Employment Prerequisites The following requirements must be met to be eligible for this position: successful completion of a background investigation and drug urinalysis. SOC, a Day & Zimmermann company, is an Equal Opportunity Employer,EOE AA M/F/Vet/Disability.

Note: Any pay ranges displayed are estimations, which may have been provided by job boards. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

#DZFED Estimated Min Rate: $46.26 Estimated Max Rate: $66.09