Associate Data Engineer (Python / AI Insurance SaaS)

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026!
About You: An ambitious Associate Data Engineer who wants to jumpstart their career by diving into the core of our technical operations. You have a passion for problem-solving, data analytics, and ensuring customer requests are handled seamlessly from start to finish. You are excited to take on hands-on ticket work, collaborating closely with our Solutions Engineering team to uncover insights and drive cross-functional initiatives. You love investigating issues, analyzing data, and learning how to reduce friction in the engineering and client experience.
In this Role You Will:
Take ownership of incoming technical tickets, investigating issues, and driving them to resolution to ensure a seamless customer experience.
Collaborate daily with Solutions Engineers to run analytics, extract data insights, and support strategic client deliverables.
Act as a technical liaison providing cross-functional support between Technical Support, Product Management, and Engineering to ensure requests flow smoothly through their lifecycle.
Help measure and track SLAs (e.g., 1 business day for triage, 5 business days for review) and proactively unblock stalled requests.
Assist in identifying trends from ticket data to inform product improvements and engineering priorities.
Learn and grow within the engineering space, collaborating directly with cross-functional teams like DevOps and Client Strategy and Analytics.
Requirements:
0-2 years of experience in software engineering, technical support, IT operations, data analytics, or a similar technical role (recent graduates with strong internship experience are welcome).
Basic proficiency in Python and SQL (or similar querying/scripting languages) to support data analytics and technical investigations.
Familiarity with standard issue-tracking platforms and support workflows.
Conceptual understanding of the software development life cycle, Agile planning, and client support best practices.
High attention to detail and a data-driven mindset to parse through logs, metrics, and customer reports.
You have crisp written and verbal communication skills and the ability to effectively translate technical concepts to non-technical stakeholders (like Client Services and customers).
Excellent collaboration skills and a team-player attitude, open to giving and receiving critical feedback across teams.
Work-life, Culture & Perks:
Compensation: The base salary range is $100-125K, with flexibility depending on a candidate’s background and experience. Plus annual bonus plan
Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.