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Data Engineer Intern Remote Jobs in Baltimore, MD

CareFirst

Data Engineering Manager (Remote)

Baltimore, MD · Remote

  • Retirement

We are seeking a Manager of Data Engineering to lead and strengthen our data engineering capabilities within the organization. This role is responsible for driving execution excellence, delivering ...

Sbdinc

Senior Manager, Data Engineering

Towson, MD · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Manager, Data Engineering - Remote Towson, MD USA Come make the world and accelerate your success. It takes great people to achieve greatness. People with a sense of purpose and integrity.

Global Alliant Inc

AI Engineer

Baltimore, MD · Remote

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Ability to obtain Public Trust Clearance * 5+ years of experience in AI/ML, Data Science, Data ...

Global Alliant Inc

AI Engineer

Baltimore, MD · Remote

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Ability to obtain Public Trust Clearance * 5+ years of experience in AI/ML, Data Science, Data ...

SAIC

Data Architect

Aberdeen Proving Ground, MD · Remote

$120K - $160K/yr

TS/SCI Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an experienced Data ... Eight (8+) years of progressive experience in data architecture, data engineering, or a closely ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Fort George G Meade, MD · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245953 Location: Fort Meade,MD,US Share job via: Share Data Scientist ... Experience with programming languages, including Python, R, and SQL * Experience working with ...

Ad Hoc LLC

Engineer Lead

Columbia, MD · Remote

$101K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engineer Lead Job Number: 919 This is a remote position. Ad Hoc is a technology company that ... We partner with these agencies to build new capabilities, deliver products, establish data as a ...

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Showing results 21-40

All JobsData Engineer Intern JobsData Engineer Intern Remote JobsData Engineer Intern Remote Jobs in Baltimore, MD

Data Engineer Intern Remote information

See Baltimore, MD salary details

$13

$25

$38

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

As of Aug 14, 2026, the average hourly pay for data engineer intern remote in Baltimore, MD is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $28.65 per hour, depending on experience, location, and employer.

What does a data engineer intern do in a remote position?

A Data Engineer Intern in a remote role assists with designing, building, and maintaining data pipelines and databases that support data analytics and business intelligence. Typical tasks include cleaning and transforming raw data, writing code to automate data workflows, and collaborating with teams to ensure data quality and accessibility. Interns often work with tools like SQL, Python, and cloud services while gaining hands-on experience in data engineering best practices. Being remote, they use online collaboration platforms to communicate and manage projects.

What types of projects do remote data engineer interns typically work on, and how do they collaborate with their teams?

Remote Data Engineer Interns often assist with tasks such as building data pipelines, cleaning datasets, and supporting the integration of data from various sources. They typically use communication tools like Slack, Zoom, and project management platforms to stay connected with their teams. Collaboration often involves regular check-ins, code reviews, and documentation to ensure alignment on project goals. Interns may also participate in sprint meetings and work closely with data engineers, analysts, and sometimes software developers to deliver project milestones.

What is the difference between Data Engineer Intern Remote vs Data Analyst Intern Remote?

AspectData Engineer Intern RemoteData Analyst Intern Remote
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting tools, analytics platforms
Industry UsageTech, finance, healthcareMarketing, retail, finance

While both roles involve working with data remotely, Data Engineer Intern Remote focuses on building data pipelines and infrastructure, requiring skills in SQL, Python, and ETL processes. Data Analyst Intern Remote emphasizes analyzing data and creating reports, often using Excel and visualization tools. The roles share a remote work environment but differ in technical focus and industry applications.

What are the key skills and qualifications needed to thrive as a data engineer intern remote?

To thrive as a Data Engineer Intern Remote, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework in computer science or related fields. Familiarity with cloud platforms (such as AWS or Google Cloud), ETL tools, and data warehousing solutions is typically required. Strong problem-solving abilities, effective communication, and self-motivation are standout soft skills for remote work. These skills are essential for efficiently managing data pipelines, collaborating virtually, and delivering reliable solutions in a distributed team environment.
Infographic showing various Data Engineer Intern Remote job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $52,530 per year, or $25.3 per hour.

Senior Data Engineer ID75059

AgileEngine

Baltimore, MD • On-site, Remote

$105K - $143K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
- Design and implement Python Data Engineering solutions;
- Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
- Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
- Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
- Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
- Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
- Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
- Work with Terraform and other tools to build AWS and on-prem infrastructure.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
- 5+ years of experience with Python (strong, hands-on Python experience is a must);
- 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
- 2+ years of experience with Big Data technologies (Spark, Snowflake);
- Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
- Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
- Proven ability to work with 3rd party APIs for complex data ingestion tasks;
- Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
- Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
- Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
- A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
- Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
- Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
- Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
- OpenSearch, Elasticsearch;
- AWS Sagemaker Studio, Jupyter for analyze data;
- Terraform;
- Scala.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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