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Data Engineer Internship Remote Jobs in Washington, DC

Node.Digital

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Sparibis

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.

Geico

Senior Data Engineer

Bethesda, MD · Remote

$105K - $215K/yr

This position will be fully remote. Position Responsibilities As a Senior Data Engineer, you will: * Scope, design, and build scalable, resilient distributed systems * Build product definition ...

Lovelytics

Lead Consultant, Data Engineer

Arlington, VA · On-site +1

$120K - $150K/yr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... This role is open to remote candidates in the US. This role is not open for work sponsorship at ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

rockITdata

Full Stack Data Engineer

Arlington, VA · On-site +1

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

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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 Aug 7, 2026, the average hourly pay for data engineer internship remote in Washington, DC is $28.79, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $32.69 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?

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 Washington, DC? For Data Engineer Internship Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship Remote jobs in Washington, DC look for? The top searched job categories for Data Engineer Internship Remote jobs in Washington, DC are:
Data Engineer Internship Remote jobs near you
Infographic showing various Data Engineer Internship Remote job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,877 per year, or $28.8 per hour.

Senior Data Engineer

Node.Digital

Washington, DC • On-site, Remote

$120K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Senior Data Engineer
Location: Herndon, VA (Remote Work)
Must have an Public Trust Clearance
KEY RESPONSIBILITIES
• Provide authoritative expertise on data engineering methods and best practices, including code first development approaches and modern pipeline design patterns.
• Design, implement, and maintain the data architecture that supports products and end users, with all assets managed under source control.
• Design, implement, and maintain ELT and ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning, using both SDK V1 and SDK V2.
• Migrate source data identified by SBA OIG into Azure Data Lake Storage.
• Normalize entity attributes such as addresses, phone numbers, and other common fields.
• Review, maintain, and improve existing architecture and pipelines, including periodic audits addressing bottlenecks, deprecated dependencies, and architecture drift.
• Establish quality controls across all pipelines and introduce error handling, logging mechanisms, and validation checks.
• Incorporate source control across all pipelines and analytics codebases so code can evolve iteratively without destabilizing the architecture.
• Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including modern columnar formats such as Parquet.
• Develop self service capabilities that let SBA OIG analysts query and export data for investigations and audits.
• Author robust standard operating procedures governing the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in the Azure environment.
• Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps.
• Maintain and expand the environment with additional datasets and services on request, following a defined intake and testing process before production deployment.
• Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language model assisted capabilities.
Requirements
Education
Bachelor's degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Alternatively, five years of applied work experience in any of the same fields.
  • 5 years - Maintaining SQL databases and conducting advanced operations in SQL and T-SQL.
  • 5 years - Designing, implementing, and maintaining ELT and ETL processes in cloud based data analytics environments.
  • 3 years - Working in Azure Synapse and Azure Machine Learning with the modern data stack. Certifications preferred, DP-203 or equivalent.
  • 3 years -Manipulating data in Python. Pandas is required. PySpark and Polars preferred. Experience developing reusable, modular code preferred.

PREFERRED QUALIFICATIONS
  • DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification.
  • Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.
  • Implementing source control and continuous integration and delivery workflows for data assets.
  • Demonstrated familiarity with AI coding assistants and large language model integration patterns.
  • PySpark or Polars at production scale.
  • Entity resolution and attribute normalization across records with inconsistent addresses, names, and identifiers.
  • Building self service analytic access for non engineering users.

Benefits
We are proud to offer competitive compensation and benefits packages to include
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training

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