Data Platform Engineer Jobs in Texas
Data Platform Engineer jobs in Texas are in strong demand, with consistent hiring across the state's energy, technology, and financial services sectors and openings at every level from junior data engineers through senior architects. Austin, Dallas, and Houston lead the market, anchored by employers like Dell Technologies, ExxonMobil, and JPMorgan Chase, all of which maintain large engineering and data operations in Texas. The most in-demand specialties are cloud data infrastructure, pipeline orchestration, and real-time streaming platforms built on tools like Apache Kafka and Apache Spark. Find a role that fits below and apply directly.
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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.
See All 33 Data Platform Engineer Jobs in Texas
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Find Data Platform Engineer JobsData Platform Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Platform Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Apple3

- Boston Consulting3

- NTT DATA2

- 7-Eleven1

- Amazon Web Services1

Top Industries Hiring
- Technology & Software13
- Consulting & Professional Services6
- Electronics & Hardware3
- Energy2
- Science & Research2
What Texas Employers Look For
The qualifications that appear most often in data platform engineer jobs across Texas.
- Bachelor's degree in computer science, information systems, or a related technical field
- Hands-on experience building and maintaining data pipelines using Python, Scala, or SQL
- Proficiency with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud
- Experience with workflow orchestration tools such as Apache Airflow or dbt
- Familiarity with distributed processing frameworks including Apache Spark or Apache Kafka
- Strong understanding of data warehouse design, ETL architecture, and data modeling principles
Data Platform Engineer Jobs in Texas: Frequently Asked Questions
How do you become a data platform engineer in Texas?
Data platform engineering has no state-issued license in Texas, so the path runs through education and demonstrated technical skill. Most Texas employers expect a bachelor's degree in computer science, software engineering, or a related field. From there, hands-on experience with cloud platforms and data pipeline tools matters most. Earning cloud certifications from AWS or Microsoft Azure strengthens a candidacy significantly, and Texas universities like UT Austin and Texas A&M produce strong pipelines of graduates entering this field.
How much do data platform engineers make in Texas?
Data platform engineers in Texas earn a median of about $151,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $92,890 for the lowest 10% to over $200,390 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data platform engineers in Texas?
Employers hiring data platform engineers in Texas right now include Apple, Boston Consulting, and NTT DATA, based on current listings on Migrate Mate as of June 2026. Texas's concentration of energy companies, financial institutions, and technology firms means demand is spread across a wider range of industries than in most other states.
Which Texas cities have the most data platform engineer jobs?
Austin, Dallas, and Houston have the most data platform engineer openings in Texas. Houston's demand is driven by its energy and petrochemical sector, where companies invest heavily in data infrastructure, while Dallas benefits from a large financial services and corporate headquarters presence, and Austin's technology industry growth has made it one of the fastest-growing markets for data engineering talent in the state.
Are there remote data platform engineer jobs in Texas?
Yes, and more than most fields. About 15% of data platform engineer openings tied to Texas are remote or hybrid as of June 2026, reflecting how naturally this role fits distributed work environments. The parts of the role most likely to stay fully remote are pipeline development, data modeling, and infrastructure-as-code work, while on-site presence is more common at companies requiring close collaboration with data governance or compliance teams.
How can I get hired as a data platform engineer in Texas with little or no experience?
The most realistic entry path is a data or software engineering associate role, which large Texas employers like Dell Technologies, USAA, and AT&T regularly post as a stepping stone into platform work. Candidates transitioning from adjacent roles like data analyst, BI developer, or backend software engineer are well-positioned because they already understand data structures and query logic. Building a portfolio of pipeline projects on GitHub and earning an entry-level AWS or Azure cloud certification gives Texas hiring managers something concrete to evaluate before an interview.
Where can I find and apply to data platform engineer jobs in Texas?
You can find and apply to data platform engineer jobs in Texas on Migrate Mate, which lists current Texas openings across the state's major hiring markets. Find roles that fit your experience and apply directly to the employers posting them.
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