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FinTech Systems Architect / AI Lead
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Findhelp

Senior Staff Data Solutions Engineer

Austin, TX, United States
Madison, WI, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

We’re changing the way people connect to social care.

At Findhelp, we’ve built a comprehensive platform of products and services that make it easy for you to connect people to resources, follow them on their journey, and track your impact in a fast and reliable way. Our industry-leading social care network includes more than half a million local, state, and national programs that serve every ZIP Code in the country, from rural areas to major metropolitan centers. Findhelp is headquartered in Austin, Texas and has been enabling healthcare, government, education, and other organizations to connect people with the social care resources that serve them, with privacy and security, since 2010.

As a mission driven organization, we are focused on creating a positive impact by connecting people in need to the programs that serve them with dignity and ease. Powered by our proprietary technology that enables people to find the resources available in their area, we have helped millions of Seekers find food, health, housing and employment programs.

About the role The R&D Department is made up of different disciplines including software and database engineers, quality, technical implementation. R&D designs and develops requested product features, fixes bugs within our platform, provides technical analysis and estimation, ensures successful integration installations, manages and monitors the health of our platform, and develops automation and tooling for efficient and reliable software development processes. R&D works cross-functionally with many other departments in the organization as a team to fulfill Findhelp’s mission of connecting all people in need and the programs that serve them with dignity and ease.

We are seeking a highly skilled Sr Staff Analytics Engineer to join our team with strong healthcare experience. As a Staff Analytics Engineer, you will coordinate and contribute to the design, development, and implementation of Analytics for our customers and internal teams, while providing subject matter expertise in Social Determinants of Health (SDOH) initiatives. . You will be responsible for working closely with External customers, Internal business stakeholders and Engineering teams to understand the current and future data needs. This role offers an exciting opportunity to work on diverse projects, solve complex problems, and contribute to the success of our data-driven initiatives

What you'll do

Client Collaboration: Engage with clients to understand their data requirements and challenges. Serve as a strong technical counterpart and trusted advisor to customer success teams.
Data Solution Design: Translate business requirements to analytical dashboard designs and operational data delivery solutions that meet the needs of a diverse and growing user audience.
Data Management: Leverage knowledge of relational databases to analyze and optimize schemas, queries, and data movement (ETL).
Problem Solving: Tackle new and complex data-related problems with creativity and a structured approach. Identify opportunities for simplification, process improvement and efficiency gains.
Continuous Learning: Stay up-to-date with industry trends, emerging technologies, and best practices in Analytics, data modeling, and use of AI.
Architecture analysis: Understand data from source to target and inform design, considering optimal methods for data capture, logging, transformation, warehousing, and delivery.
Incident Resolution: Investigate and resolve user-reported incidents related to Dashboards/ reports data issues

Qualifications

5+ years of relevant technical experience working in Data warehousing & Healthcare Analytics
4+ years of strong experience with dashboard development with tools like Looker Studio, Tableau, Power BI
Strong SQL programming skills with the ability to write complex queries and optimize database performance.
Proficiency in database systems such as MySQL and BigQuery
Experience in data storytelling, presenting clear and compelling insights to stakeholders.
Experience in creating metrics and KPIs tied to business goals.
Excellent problem-solving skills and the ability to work on new and challenging data problems.
Exceptional communication and customer-facing skills, with the ability to explain technical concepts to non-technical audiences.
Experience in data modeling, ETL processes, and data warehousing techniques in cloud platforms like GCP, Azure or AWS
Experience with Python for data manipulation, scripting, or automation.
Demonstrated experience using LLMs and AI coding tools in your daily workflow, with good judgment about when to trust, verify, or reject their output
Familiarity building or supporting text-to-SQL or conversational analytics tools
Preference for Health Care Analytics experience

Physical demands and work environment:

This job is based on-site in Austin, TX, or Madison, WI with the opportunity to work remotely on Friday
This is largely a sedentary role; standard office equipment is used, such as laptops, monitors and headsets, if needed.
Limited travel may be required

We value being together : We believe being together enables stronger relationships, collaboration, and culture. This position is in office and candidates must be located in Austin, Texas or Madison, Wisconsin.

Perks at Findhelp

401k & equity grants
Fully stocked kitchens across all three office locations
Onsite gym at our Austin HQ
Paid parental leave
Competitive PTO & 10 paid holidays
Comprehensive Medical, Dental, and Vision insurance with 100% company-paid coverage for employee only coverage
Dog-friendly office in Austin HQ
24/7 access to telemedicine and counseling
Book Purchasing Program

We’re building a diverse, inclusive team You’re welcome here. We want everyone to be able to easily connect to the help they need, and we want our teams to reflect and represent our communities. It is our policy to recruit, hire, train, and promote individuals, as well as administer any and all Company policies, without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin or ancestry, physical and mental ability, political affiliation, race, religion, creed, sexual orientation, socio-economic status, veteran status, or any other protected class, in accordance with applicable laws. Accommodations are available for applicants with disabilities.

Here are some of the ways we support our staff:

Culture Committee
Leadership Development Training
Paid Volunteering Time

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