E-3 Visa Data Platform Engineer Jobs
Data Platform Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, information systems, or a related field. The E-3 has no lottery, no annual cap backlog, and renews in two-year increments, making it a stable path for Australian engineers moving into U.S. data infrastructure roles.
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INTRODUCTION
We are looking for a Staff Engineer to own and evolve our financial data integration and ML classification platform. This system ingests hundreds of variations of real estate financial reports — trial balances, rent rolls, budgets, forecasts, aged receivables — from property management companies, automatically detects their format, classifies their structure using ML models, and transforms them into normalized data for downstream analytics.
You will be the primary technical lead across two critical systems: a document parsing engine handling 280+ specialized ETL processors and a dynamic pipeline orchestration platform that uses ML-predicted field mappings to automate data extraction at scale. This role demands breadth — you will build ML models, maintain production data pipelines, design database schemas, and make architectural decisions independently. You will also mentor and manage one direct report.
Responsibilities:
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ML Model Development & Deployment — Build, train, and deploy classification models (currently served via Wallaroo) that predict financial field/table mappings from document headers. Extend existing BERT-based question-answering models used for extracting structured data from free-text property descriptions.
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Pipeline Platform — Maintain and extend the configuration-driven orchestration system that matches incoming files to processing pipelines, executes dynamic conditionals, and writes standardized output to downstream templates.
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ETL Engine — Evolve the parsing library that handles complex Excel workbooks with nested headers, multi-tab structures, merged cells, and varied accounting system formats (ARES, GIC, DCS).
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Data Quality & Reliability — Improve prediction accuracy, expand audit logging, and ensure processing integrity across clients and document types.
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Architecture & Technical Leadership — Drive technical decisions on model serving infrastructure, database schema design, and API integration patterns with RealPage's Data Management Gateway (DMG). Provide mentorship and technical guidance to your direct report.
BASIC QUALIFICATIONS:
- 5+ years Python development with production ML systems
- Strong experience with NLP / text classification — specifically training and fine-tuning transformer models (Hugging Face, TensorFlow) for document understanding tasks
- Deep proficiency with pandas, NumPy, SQLAlchemy, and PostgreSQL
- Experience building and maintaining ETL pipelines that process messy, semi-structured data (Excel, CSV) at scale
- Familiarity with ML model serving platforms (Wallaroo, SageMaker, Vertex AI, or similar) including OAuth2-based inference APIs
- Comfort operating as a technical lead — triaging bugs, shipping features, making architectural calls independently, and mentoring junior engineers
- Demonstrated ability to work across the full stack of a data platform: from raw file ingestion through model inference to API integration
PREFERRED QUALIFICATIONS:
- Domain experience in real estate finance, property management, or accounting data (chart of accounts, trial balances, rent rolls)
- Experience with SFTP-based file processing workflows and Paramiko
- Familiarity with dynamic code generation / evaluation patterns for configurable data transformations
- Background in document parsing / OCR / intelligent document processing
- Experience with SSH-tunneled database connections and multi-environment deployments
- Prior experience mentoring or leading a small team
TECH STACK
- Python
- Pandas
- TensorFlow
- Hugging Face Transformers
- PostgreSQL
- SQLAlchemy
- Wallaroo
- Paramiko/SFTP
- openpyxl/xlrd
- REST APIs
- OAuth2/JWT
WHY THIS ROLE
You will have high autonomy over a system that directly impacts how financial data flows through RealPage's platform. The ML models you build will reduce manual data mapping for enterprise property management clients, and the pipelines you maintain process real financial documents daily. This is not a research role — it is applied ML engineering where your models ship to production and your code runs against real client data. As a Staff Engineer, you will shape the technical direction of the platform and have meaningful influence over how the team grows.
SALARY AND BENEFITS
RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
- Health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Professional development opportunities.
- Performance-based bonus based on position.
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.
Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.
Pay Range: USD $107,200.00 - USD $182,600.00 /Yr.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Platform Engineer
Frame your degree for U.S. specialty occupation
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 visa purposes, but your transcript must show a technical major. A credential evaluation letter from a NACES-approved evaluator removes this uncertainty before you apply.
Target employers with active DOL LCA history
Search the DOL's Office of Foreign Labor Certification disclosure data for employers who have filed LCAs for data engineering or platform roles. Prior filings signal a company already understands the E-3 process and won't need to be educated from scratch.
Distinguish data platform from data science in outreach
Recruiters sometimes conflate data platform, data science, and analytics roles. In your resume and cover letter, emphasise infrastructure keywords like Spark, Kafka, dbt, and cloud data warehouses so your application routes to engineering hiring managers who understand E-3 specialty occupation requirements.
Clarify LCA filing timing with your offer letter
The employer must file the LCA with DOL before you can attend your consulate interview. Get written confirmation of the intended start date and ensure both parties understand the LCA must clear first. Misaligned timelines are the most common cause of delayed E-3 start dates.
Use Migrate Mate's E-3 filing service for LCA and consulate prep
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This removes the coordination burden from your employer and reduces the risk of errors that trigger USCIS requests for evidence.
Confirm E-Verify enrollment before signing
Some data platform roles sit inside STEM-designated positions at companies enrolled in E-Verify. Confirm enrollment before signing your offer, as E-Verify status affects your I-9 options and can matter if you later explore STEM OPT-based transitions or internal transfers.
E-3 Visa Data Platform Engineer: Frequently Asked Questions
How do I find Data Platform Engineer jobs with E-3 sponsorship?
Search Migrate Mate to filter Data Platform Engineer roles by employers who sponsor E-3 visas. Because the E-3 requires a qualifying job offer before you can file, targeting companies with prior LCA filing history for data engineering roles saves time. Migrate Mate surfaces those employers directly so you're not cold-applying to companies unfamiliar with the process.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Platform Engineer role qualify as an E-3 specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, software engineering, or information systems. Roles that list a degree as preferred rather than required can create complications at the consulate, so it's worth confirming the job description uses mandatory degree language before the LCA is filed.
How does the E-3 compare to the H-1B for Data Platform Engineers?
The E-3 has a 10,500-per-year allocation that has never been fully used, meaning there is no lottery and no multi-year wait. The H-1B visa has an 85,000 annual cap with a highly competitive registration lottery. For Australian data engineers, the E-3 offers a predictable, repeatable path that can be initiated as soon as you have a qualifying offer.
Can I change employers or projects on an E-3 while working as a Data Platform Engineer?
You can change employers, but your new employer must file a fresh LCA with DOL and you'll need a new E-3 visa stamp if yours lists the previous employer. Internal transfers to a different legal entity within the same corporate group also require a new LCA. Plan for at least a few weeks of processing time before the transition is fully compliant.