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Findhelp

Senior Staff Data Engineer

Sorry, this job was removed at 01:46 p.m. (MST) on Thursday, Feb 19, 2026
Easy Apply
Hybrid
Denver, CO, USA
146K-183K Annually
Easy Apply
Hybrid
Denver, CO, USA
146K-183K Annually

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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.

As a Senior Staff Data Engineer at Findhelp, you will be responsible for designing, building and maintaining data pipelines that transform, load and synchronize data from internal and external sources across our environment with initial focus on our Speciality Networks Initiative.  You will leverage cloud-based data processing strategies to deliver high quality, robust, scalable and performant solutions.  You will collaborate closely with external customers, internal business stakeholders and engineering teams to design and deliver top-tier data solutions.  This role is an exciting opportunity to solve complex problems, level up more junior engineers and contribute to the success of our data-driven initiatives.

Responsibilities:

  • Data Integration & Pipeline Development: Design, build and maintain data processing pipelines to ingest and integrate Acute Care and Behavioral Data supporting our Speciality Network initiatives.
  • Database Design & Documentation: Create and maintain data models, metadata, ETL specifications, and process flows to support business data projects.
  • Architecture Analysis: Understand data from source to target and inform design, considering optimal methods for data capture, logging, transformation, warehousing, and delivery.
  • Automation & Optimization: Identify opportunities to automate, consolidate, and simplify data solutions for better scalability using traditional methods and leveraging AI where appropriate.
  • Code Reviews & Best Practices: Conduct periodic code reviews to enforce best practices in design, performance tuning, and maintainability.
  • Continuous Learning: Stay up-to-date with industry trends, emerging technologies, and best practices in Analytics, data modeling, and use of AI.

Qualifications:

  • 6+ years of relative, technical experience in data engineering, with a focus on data movement and transformation in both batch and real-time environments with deep understanding of SQL and Python.
  • Deep knowledge and hands-on experience building/operating highly available, distributed systems of end-to-end data processing solutions in cloud environments such as GCP (ideal), Microsoft Azure or AWS.
  • Experience with rest and bulk API integration and JSON processing, including designing, optimizing, and troubleshooting high-volume data exchanges.
  • Demonstrated strength in data modeling, ETL development, and data warehousing.
  • Expertise with relational databases such as MySQL (ideal), Oracle, or PostgreSQL as well as BigQuery and Snowflake.
  • Proven success developing and maintaining enterprise grade data processing pipelines.
  • Proficiency with GitHub and development of CI/CD processes.
  • Excellent problem solving skills with a desire to take on new and challenging data problems.
  • Preferred GCP experience, but other cloud experience welcome.

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, Madison, Wisconsin, or Denver, Colorado

Perks at Findhelp 
•401k & equity grants
•Free food and onsite gym at our Austin HQ 
•Paid parental leave
•Competitive PTO & 10 paid holidays
•Employee only paid Health, Dental, and Vision insurance
•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


Findhelp Denver, Colorado, USA Office

1221 S Clarkson St., Suite 200, Denver, CO, United States, 80210

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

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