STEM OPT Data Engineering Intern Jobs
Data Engineering Intern roles qualify for STEM OPT when your degree falls under an eligible CIP code in computer science, information technology, or a related STEM field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build hands-on pipeline and infrastructure experience while maintaining F-1 status.
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Get Access To All JobsAbout Rocket Lawyer
We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.
We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company's history, to capture audiences worldwide. We are expanding our team to take on this challenge!
About your role
We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it's about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.
Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.
A Day in the Life
- Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
- AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
- Automating code generation and documentation.
- Building AI-driven data quality checks and anomaly detection.
- Developing "self-healing" pipelines that can identify and alert on ingestion errors.
- Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
- Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
- Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
- Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.
- Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
- Programming Mastery: Expertise in Python and SQL.
- Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
- DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
- Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
- Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.
The Summer "Win"
By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.
Interview Process
- Recruiter Phone Screen
- Technical Assessment
- Hiring Manager Interview
- Team Interview
Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.
All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.
Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship.
Duration: June 8, 2026 - August 14, 2026, working 40 hours per week
Compensation per hour by location:
- San Francisco Bay Area, CA: $50.00
- California (outside of San Francisco Bay Area): $46.25
- Colorado: $42.50
- Utah, Arizona, and North Carolina: $40.00
By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.
About Rocket Lawyer
We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.
We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company's history, to capture audiences worldwide. We are expanding our team to take on this challenge!
About your role
We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it's about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.
Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.
A Day in the Life
- Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
- AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
- Automating code generation and documentation.
- Building AI-driven data quality checks and anomaly detection.
- Developing "self-healing" pipelines that can identify and alert on ingestion errors.
- Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
- Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
- Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
- Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.
- Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
- Programming Mastery: Expertise in Python and SQL.
- Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
- DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
- Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
- Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.
The Summer "Win"
By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.
Interview Process
- Recruiter Phone Screen
- Technical Assessment
- Hiring Manager Interview
- Team Interview
Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.
All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.
Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship.
Duration: June 8, 2026 - August 14, 2026, working 40 hours per week
Compensation per hour by location:
- San Francisco Bay Area, CA: $50.00
- California (outside of San Francisco Bay Area): $46.25
- Colorado: $42.50
- Utah, Arizona, and North Carolina: $40.00
By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.
See all 402+ Data Engineering Intern jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineering Intern roles.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Engineering Intern
Verify your CIP code before applying
Check that your degree's CIP code appears on the DHS STEM Designated Degree Program list. Data engineering roles most often align with computer science, information systems, or electrical engineering codes, and a mismatch disqualifies your extension before you even start.
Screen job postings for E-Verify enrollment
Before submitting any application, confirm the employer is enrolled in E-Verify through the official E-Verify employer search. Internship postings rarely flag this upfront, so checking early saves you from accepting an offer that can't support your STEM OPT extension.
Build a portfolio around data pipeline projects
Hiring managers for data engineering intern roles expect evidence of ETL workflow design, SQL query optimization, or cloud data stack experience. A public GitHub repository with documented pipeline projects gives recruiters a concrete reason to move you forward over candidates with identical coursework.
Request the I-983 training plan before your start date
Your employer must complete and sign the I-983 before your STEM OPT extension begins. Ask your hiring manager or HR contact to initiate the training plan during onboarding so your DSO can submit the I-20 update to USCIS without delays that could gap your work authorization.
Use Migrate Mate to find E-Verify employers hiring interns
Filter your data engineering intern search on Migrate Mate to surface employers already enrolled in E-Verify and with OPT hiring history. This cuts the time you'd otherwise spend manually researching sponsorship eligibility company by company across general job boards.
Align your application timeline with your OPT end date
File your STEM OPT extension application with USCIS no later than 90 days before your initial OPT EAD expires. For data engineering intern roles that convert to full-time, this timeline also affects cap-gap eligibility if your employer files an H-1B petition on your behalf.
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Find Data Engineering Intern JobsFrequently Asked Questions
Does a data engineering intern role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field such as computer science, information systems, or a related discipline with a qualifying CIP code on the DHS STEM Designated Degree Program list. The role itself must also provide practical training directly related to your degree. Your DSO confirms eligibility when you apply for the extension through USCIS.
How do I know if a data engineering intern employer is enrolled in E-Verify?
Use the official E-Verify employer search tool to look up any company before you accept an offer. E-Verify enrollment is a hard requirement for STEM OPT, and internship postings rarely disclose this information upfront. You can also browse Data Engineering Intern roles on Migrate Mate, which surfaces employers with verified OPT hiring history so you're not starting from scratch on each application.
What goes into the I-983 training plan for a data engineering internship?
The I-983 requires your employer to describe the specific learning objectives, supervision structure, and how the internship connects to your STEM degree. For data engineering roles, this typically includes goals around pipeline architecture, data modeling, or cloud infrastructure work. Your employer signs the plan, your DSO updates your I-20, and you must report any material changes to training within five business days.
What happens to my STEM OPT if my data engineering internship converts to a full-time role and my employer files an H-1B petition?
If your employer files an H-1B petition on your behalf before your OPT EAD expires and you're selected in the lottery, cap-gap protections allow you to keep working through September 30 of that fiscal year even if your EAD expires first. You must maintain valid F-1 status throughout this period, and your DSO should update your SEVIS record to reflect the cap-gap extension.
Which STEM degree fields make you eligible for the STEM OPT extension in a data engineering role?
Degrees in computer science, computer engineering, information technology, electrical engineering, mathematics, and statistics are among the most common qualifying fields for data engineering positions. The degree must appear under an eligible CIP code on the DHS STEM Designated Degree Program list. Check O*NET for the occupational classification tied to the data engineering intern role to confirm the degree-to-occupation alignment your DSO will review.
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