OPT Data Engineering Intern Jobs
Data Engineering Intern roles are among the most OPT-friendly positions in tech: employers routinely file H-1B visa petitions for strong interns, and the work squarely qualifies as STEM OPT, giving you up to 36 months of authorized work. Most roles involve Python, SQL, and cloud pipelines, aligning directly with CS and data science degrees.
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Who We Are
Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all.
What We Do
First American builds and delivers industry-leading real estate data products, including solutions such as the National Title Plant and National Starter Exchange. These platforms power critical title, settlement, underwriting, and risk decisions across the real estate ecosystem.
The Data Engineering team designs, builds, and maintains large-scale data platforms that support these external, customer-facing products. The team works with modern cloud technologies to ensure scalable, secure, and high-performance data processing pipelines that enable real-time and batch analytics at enterprise scale.
This internship will support First American’s cloud modernization initiatives, with a focus on migrating data engineering workloads from Azure to Google Cloud Platform (GCP).
The intern will contribute to ETL development, data pipeline optimization, and platform modernization efforts that directly support First American’s national data products.
Key activities may include:
- Assisting in the migration of data pipelines from Azure-based infrastructure to GCP
- Designing, building, and testing ETL workflows in cloud-native environments
- Refactoring and optimizing existing data transformation processes for scalability and performance
- Supporting data validation, reconciliation, and quality assurance efforts
- Contributing to technical documentation and architectural diagrams
- Collaborating with product engineering teams to ensure seamless integration of data services
- Participating in code reviews and version control workflows
This role provides hands-on experience working on production-grade data systems that support mission-critical real estate products.
Target Skillset
Preferred skills and experience include:
- Strong SQL skills
- Python for data engineering and transformation
- Experience with data manipulation using Pandas and NumPy
- Understanding basic machine learning concepts, including regression, classification, clustering, model evaluation, and overfitting
- Ability to build, train, and evaluate ML models using tools like Scikit-learn
- Familiarity with data visualization tools such as Matplotlib or Seaborn
- Understanding of basic statistics, probability, and machine learning concepts (regression and classification)
- Experience with data cleaning, preprocessing, and exploratory data analysis (EDA) to understand patterns and trends
- Knowledge of ETL processes and experience with ETL tools such as Informatica; familiarity with GCP tools (e.g., Big Query, Dataflow, Cloud Composer, Cloud Storage) is an added advantage
- Familiarity with cloud platforms (Azure and/or GCP preferred)
- Understanding of distributed data processing concepts
- Experience with version control (e.g., GitHub)
- Knowledge of data warehousing concepts and data modeling
- Strong problem-solving and analytical skills
Compensation
- Salary Range: $40.00 - $45.00 hourly
This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.
Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County.
First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act).
First American intends to conduct a review of an applicant’s criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements.
What We Offer
By choice, we don’t simply accept individuality – we embrace it, we support it, and we thrive on it! Our People First Culture celebrates diversity, equity and inclusion not simply because it’s the right thing to do, but also because it’s the key to our success. We are proud to foster an authentic and inclusive workplace For All. You are free and encouraged to bring your entire, unique self to work. First American is an equal opportunity employer in every sense of the term.
Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.
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Get Access To All JobsTips for Finding OPT Sponsorship as a Data Engineering Intern
Lead with STEM OPT eligibility upfront
Mention your STEM OPT status in your resume summary or cover letter. Employers unfamiliar with OPT often assume sponsorship is expensive and complex. Clarifying that you're already authorized to work removes that friction before the first conversation.
Target companies with active H-1B filing history
Employers who have previously sponsored H-1B visas are far more likely to extend interns into full-time sponsored roles. Focusing your search on companies with that track record significantly improves your odds of long-term visa support after the internship ends.
Align your degree field to the job description explicitly
STEM OPT requires your employment to be directly related to your degree. In applications, name the connection clearly: a computer science degree supporting a role building data pipelines is obvious to you but worth spelling out for a hiring manager unfamiliar with OPT rules.
Treat your DSO relationship as a job search asset
Your Designated School Official can confirm your OPT authorization period and STEM extension eligibility in writing. Having that documentation ready before interviews signals to employers that you've handled the administrative side and won't create delays in onboarding.
Apply early relative to your OPT start date
Many employers won't hold an offer open for more than a few weeks. Start your internship search three to four months before your intended start date so your OPT authorization is active or imminent by the time an offer arrives, not still weeks away.
Negotiate a full-time conversion discussion before accepting
Internships that convert to full-time roles are where OPT students gain the most immigration leverage. Before accepting an offer, ask directly whether the company has a conversion process and whether it includes visa sponsorship support for international hires.
Data Engineering Intern OPT: Frequently Asked Questions
Can I work as a Data Engineering Intern on OPT?
Yes, provided the internship is directly related to your degree field. A data engineering role requires skills in areas like database design, pipeline development, and distributed systems, which align closely with degrees in computer science, data science, and related engineering disciplines. Your DSO can confirm whether the specific role qualifies before you accept an offer.
Does a Data Engineering Internship qualify for the STEM OPT extension?
It does if your degree is on the STEM Designated Degree Program List and the employer meets E-Verify enrollment requirements. Most data engineering internships at technology companies, financial institutions, and large enterprises satisfy both conditions. The extension gives you an additional 24 months of work authorization beyond your initial 12-month OPT period, totaling 36 months.
How do I find Data Engineering Intern roles that are open to OPT students?
Migrate Mate is built specifically for F-1 OPT students and surfaces data engineering internships at employers who are open to or actively supportive of international work authorization. Filtering by OPT-friendly employers saves significant time compared to applying broadly and discovering late in the process that a company won't work with international candidates.
Do employers need to do anything special to hire me as a Data Engineering Intern on OPT?
For standard OPT, no special filing is required from the employer. You present your EAD card and your employer verifies it through Form I-9 like any other employment authorization document. If you later apply for a STEM OPT extension, your employer must be enrolled in E-Verify and sign a formal training plan using Form I-983, which outlines your learning goals and supervision structure.
What happens to my OPT if my Data Engineering Internship ends early or the company rescinds the offer?
Your OPT authorization remains valid, but unemployment time counts against your 90-day limit for pre-completion OPT or 150-day limit for post-completion OPT. You must report any change in employer or employment status to your DSO within 10 days. If you're between roles, use that window actively to line up your next position before hitting the unemployment threshold.