Associate Data Engineer (Python / AI Insurance SaaS)

EvolutionIQ; New York (NY); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision

Parental leave

401k matching

Catered lunches

Pet-friendly office

Tech stipend

Job summary

EvolutionIQ in New York, NY is seeking an Associate Data Engineer to contribute to AI Insurance SaaS pipelines. You will own incoming tickets, collaborate with Solutions Engineers to extract data insights, and act as a technical liaison across teams to ensure requests flow smoothly.

The role welcomes recent graduates with 0–2 years of experience, with basic Python and SQL skills and a data‑driven mindset. You will help measure SLAs and identify trends to inform product improvements, while

Qualifications

• 0–2 years of experience in software engineering or related technical role.
• Basic proficiency in Python and SQL.
• Familiarity with issue‑tracking platforms and support workflows.
• Understanding of the software development lifecycle, Agile planning, and client support practices.
• Attention to detail with a data‑driven mindset to parse logs and metrics.
• Clear written and verbal communication and ability to translate technical concepts to non‑technical stakeholders.
• Strong collaboration and team‑player attitude.

Responsibilities

• 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.

Skills

Python

SQL

Data analytics

Communication

Job description

Associate Data Engineer (Python / AI Insurance SaaS)

New York, NY

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.
• 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.

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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in EvolutionIQ’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.