Senior Staff Data Solutions Engineer

findhelp • Madison, WI

1h • Hybrid

About The Position

The R&D Department includes software and database engineering, quality, and technical implementation disciplines. It designs and develops product features, fixes platform bugs, provides technical analysis and estimates, supports successful integrations, monitors platform health, and develops automation and tooling for efficient and reliable software development. R&D works cross-functionally to support Findhelp’s mission of connecting people in need with programs that serve them.

Findhelp is seeking a highly skilled senior staff analytics engineer with healthcare experience to coordinate and contribute to analytics design, development, and implementation for customers and internal teams, while providing subject matter expertise in Social Determinants of Health (SDOH) initiatives. The role works with external customers, internal business stakeholders, and engineering teams to understand current and future data needs. It involves diverse projects, complex problem-solving, and contributions to data-driven initiatives.

The position is based in the Austin, Texas, or Madison, Wisconsin, office. Employees have the opportunity to work remotely on Fridays. The role is largely sedentary, uses standard office equipment, and may require limited travel.

Requirements

• At least 5 years of relevant technical experience in data warehousing and healthcare analytics.
• At least 4 years of experience developing dashboards with tools such as Looker Studio, Tableau, or Power BI.
• Strong SQL programming skills, including writing complex queries and optimizing database performance.
• Proficiency with database systems such as MySQL and BigQuery.
• Experience with data storytelling and presenting clear, compelling insights to stakeholders.
• Experience creating metrics and KPIs tied to business goals.
• Excellent problem-solving skills and ability to work on new and challenging data problems.
• Exceptional communication and customer-facing skills, including explaining technical concepts to non-technical audiences.
• Experience with data modeling, ETL processes, and data warehousing techniques on cloud platforms such as GCP, Azure, or AWS.
• Experience with Python for data manipulation, scripting, or automation.
• Demonstrated experience using LLMs and AI coding tools in daily work, with good judgment about when to trust, verify, or reject their output.
• Familiarity with building or supporting text-to-SQL or conversational analytics tools.
• Must be located in Austin, Texas, or Madison, Wisconsin.

Nice To Haves

• Healthcare analytics experience is preferred.

Responsibilities

• Engage with clients to understand data requirements and challenges, and act as a technical counterpart and trusted advisor to customer success teams.
• Translate business requirements into analytical dashboard designs and operational data delivery solutions for a diverse and growing user audience.
• Use relational database knowledge to analyze and optimize schemas, queries, and ETL data movement.
• Solve complex data problems using a structured approach and identify opportunities for simplification, process improvement, and efficiency gains.
• Keep up with industry trends, emerging technologies, and best practices in analytics, data modeling, and AI.
• Analyze data from source to target and inform design choices for data capture, logging, transformation, warehousing, and delivery.
• Investigate and resolve user-reported incidents involving dashboard and report data issues.

Benefits

• 401(k) and equity grants.
• Fully stocked kitchens across all three office locations.
• Onsite gym at the Austin headquarters.
• Paid parental leave.
• Competitive PTO and 10 paid holidays.
• Comprehensive medical, dental, and vision insurance, with company-paid coverage for employee-only coverage.
• Dog-friendly office at the Austin headquarters.
• 24/7 access to telemedicine and counseling.
• Book Purchasing Program.
• Culture Committee.
• Leadership Development Training.
• Paid volunteering time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed