Data & Integration Engineer

Job Description

Job Description

Data & Integration Engineer

Location: Austin, Texas

Work Arrangement: Full-time, Onsite

About Integrated Financial Settlements

For over 40 years, Integrated Financial Settlements (IFS) has been transforming lives by helping people achieve financial stability after life-altering events or injuries. Our innovative products and services provide long-term financial security, spendthrift protection, and peace of mind to vulnerable individuals navigating challenging circumstances. We're building the next generation of financial technology to serve our mission more effectively and at greater scale.

Our Vision & Values

As a collaborative community, our passion is to introduce options that restore stability, encourage hope, and create possibilities for people impacted by injury. We help people navigate change by providing effective financial solutions to support their goals. Our work is guided by four core values:

• Integrity: Do what is right
• Innovation: Seek opportunities to learn, improve, and encourage creative thought
• Collaboration: We are better together. Diversity of experience and thought enriches our work and lives
• Empathy: Acknowledge others and ask questions. Listen to find out what is important

The Opportunity

This is a ground-floor opportunity to architect and build the core data and integration backbone of a growing financial services company. You'll design a greenfield enterprise data architecture, connecting internal platforms, third-party systems, banking partners, and external data sources into a unified operating platform. As one of the foundational members of our technology organization, you'll be responsible for creating the architectural patterns, integration frameworks, data models, and AI-ready infrastructure that power the next phase of our growth. You'll transform a business operating across fragmented systems into one powered by trusted data, automated workflows, intelligent decision-making, and secure financial transactions.

What Makes Someone Successful in This Role

• You enjoy creating new capabilities from the ground up and are energized by solving complex problems with practical solutions
• You understand how technology enables revenue growth, operational efficiency, risk management, and customer experience
• You seek elegant solutions that reduce complexity and technical debt rather than introducing unnecessary technology
• You operate as if you own the platform and are accountable for its reliability, scalability, and long-term success
• You understand that successful AI initiatives depend on quality data, strong governance, semantic consistency, and effective integration patterns
• You can move between architecture, engineering, solution design, vendor management, troubleshooting, and strategic planning as business needs evolve
• You can operate independently with limited oversight while maintaining alignment with organizational objectives

Key Responsibilities

• Build and manage our enterprise data architecture, including canonical data models, data domains, governance standards, lineage, master data strategies, and quality controls
• Design and implement a semantic layer that powers analytics, reporting, AI applications, and future agentic workflows
• Define enterprise integration architecture, API standards, integration patterns, and reusable connectivity frameworks
• Build and manage ETL/ELT pipelines, orchestration frameworks, event-driven processes, observability, monitoring, retry strategies, and operational support
• Design secure and compliant data movement across internal, external, and regulated environments
• Lead integration efforts with banking and payment systems, including ACH, wire processing, payment networks, custodians, and financial infrastructure providers
• Develop integration endpoints and services supporting Salesforce, workflow platforms, customer applications, and external partners
• Create data structures and architectures optimized for AI agents, machine learning models, retrieval systems, and intelligent automation
• Establish scalable architectural patterns that support future business capabilities while minimizing technical debt
• Partner closely with business and technology teams to translate business processes into scalable technical solutions
• Evaluate emerging technologies related to AI, data engineering, integration platforms, and cloud architecture

Required Qualifications

• 5+ years of experience in data engineering, integration engineering, platform engineering, solution architecture, or related technical roles
• Demonstrated experience building platforms with limited resources and small teams, with a track record of delivering practical solutions that scale as the business grows
• Proven experience designing and implementing enterprise data platforms from architecture through production support
• Hands-on experience integrating with banking, payment, fintech, or financial services platforms
• Strong experience designing APIs, integration services, event-driven architectures, webhooks, and distributed systems
• Deep understanding of data modeling, canonical data design, master data management, governance, lineage, and data quality practices
• Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or equivalent technologies
• Experience building ETL/ELT solutions using tools such as Airflow, Matillion, Fivetran, Azure Data Factory, or equivalent platforms
• Strong SQL skills and proficiency in at least one modern programming language such as Python, Java, or C#
• Experience implementing secure data transmission, encryption, authentication, authorization, and audit controls
• Experience designing solutions for reliability, observability, scalability, compliance, and operational support
• Ability to operate across architecture, engineering, and business discussions without requiring specialized teams for every decision

Preferred Qualifications

• Experience building AI-ready data architectures and semantic models
• Experience implementing vector databases, embeddings, retrieval-augmented generation (RAG), knowledge graphs, or related AI infrastructure
• Experience supporting AI agents, copilots, workflow automation, or agentic architecture
• Familiarity with OpenAI, Anthropic, Azure AI, AWS AI services, or other enterprise AI platforms
• Experience in integrating structured and unstructured data sources for AI and analytics use cases
• Experience with real-time data streaming platforms such as Kafka, Event Hub, Kinesis, or Pub/Sub
• Experience in highly regulated industries such as financial services, banking, lending, insurance, or payments
• Prior experience in an early-stage, high-growth company where individuals were expected to operate across multiple disciplines

Work Environment

• Full-time, onsite position based in Austin, Texas
• 40-hour work week with flexibility to work extended hours as needed based on business needs
• Regular verbal and written communication with cross-functional teams
• Extended periods of sitting at a computer workstation
• Dexterity required to operate computer keyboard, mouse, and other computer components
• Light physical effort including occasional handling of objects up to 20 pounds and frequent handling of objects up to 10 pounds

Ready to Build the Future?

If you're an experienced data and integration engineer excited about architecting enterprise platforms from the ground up, we'd love to hear from you. Join our team and help us transform financial services for people who need it most.

To apply, please submit your resume and a brief note about your experience with enterprise data architecture and integration projects.