Data & Integration Engineer

Integrated Financial Settlements; Austin (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Integrated Financial Settlements is seeking a Data & Integration Engineer in Austin, TX. You will architect and build the core data platform, connecting internal systems, banking partners, and external data sources into a unified operating platform.

You will define integration patterns, data models, and AI-ready infrastructure, enabling scalable analytics, AI applications, and automated workflows while ensuring security and regulatory compliance.

Qualifications

• 5+ years in data engineering, integration engineering, platform engineering, solution architecture, or related roles.
• Proven experience building scalable data platforms from architecture to production.
• Hands-on with banking, payment, fintech, or financial services integrations.
• Strong API design, integration services, event-driven patterns, webhooks, and distributed systems.
• Deep data modeling, canonical data design, master data management, governance, lineage, and data quality.
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and ETL/ELT tools.
• Proficiency in SQL and at least one language like Python, Java, or C#.
• Secure data transmission, encryption, authentication, authorization, and audit controls.

Responsibilities

• Architect and build the core data and integration backbone of the platform.
• Design semantic layer for analytics, AI applications, and agentic workflows.
• Define enterprise integration architecture, API standards, and reusable connectivity.
• Develop ETL/ELT pipelines, orchestration, and observability.
• Ensure secure, compliant data movement across environments.
• Lead integrations with banking and payment systems (ACH, wires, networks).
• Create endpoints/services for Salesforce, workflows, and partners.
• Build data structures optimized for AI agents and ML models.
• Establish scalable patterns with minimal technical debt.
• Collaborate with business/tech teams to translate processes into scalable solutions.
• Evaluate emerging technologies in AI, data engineering, and cloud architecture.

Skills

Data engineering

Integration engineering

Platform engineering

Solution architecture

APIs & integration services

Event-driven architectures

Data modeling & governance

Cloud data platforms

ETL/ELT tooling

SQL & programming (Python/Java/C#)

Tools

Snowflake

Databricks

BigQuery

Redshift

Airflow

Matillion

Fivetran

Azure Data Factory

Job description

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

About the Role

Data & Integration Engineer Location: Austin, Texas Work Arrangement: Full-time, Onsite 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.

Responsibilities

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

Qualifications

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

Required Skills

• Data engineering, integration engineering, platform engineering, solution architecture, or related technical roles
• Building platforms with limited resources and small teams
• Designing and implementing enterprise data platforms
• Integrating with banking, payment, fintech, or financial services platforms
• Designing APIs, integration services, event-driven architectures, webhooks, and distributed systems
• Data modeling, canonical data design, master data management, governance, lineage, and data quality practices
• Working with modern cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or equivalent technologies
• Building ETL/ELT solutions using tools such as Airflow, Matillion, Fivetran, Azure Data Factory, or equivalent platforms
• Proficiency in at least one modern programming language such