EvolutionIQ-posted 9 months ago
$175,000 - $210,000/Yr
Full-time • Mid Level
NY

EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. 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! The Adventure: We're the leading AI Guidance Platform in the insurance industry today, working with some of the largest insurance carriers in the US and expanding globally. We are growing incredibly fast and have a nearly 100% success record in converting pilots to production deployments. You will be designing on a shared, unified platform that can scale across multiple lines of business. Our engineering culture values simplicity, core engineering principles, quality, honesty, transparency and strong collaboration. If you’re excited to work on a fast-moving enterprise engineering team using the latest technologies at high scale, we want to meet you.

  • Be a key contributor to EvolutionIQ's unified claims platform working closely with data science & analytics, machine learning, and frontend data engineering teams to build robust, scalable and high quality data pipelines.
  • Own the entire lifecycle of designing, building and launching enterprise systems.
  • Have a key role and ownership in shaping the future of Evolution IQ’s products – from technology choices to building the roadmap.
  • Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact.
  • Continue to grow and learn in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets.
  • Extensive experience going through the full feature development life cycle: Working with product managers, deciding scope, designing data models and pipeline architectures.
  • 5+ years of engineering experience, an expert in Python and SQL Development.
  • Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios through pipeline performance and data quality checks.
  • Ability to remain agile and move between rapid prototyping and stable production development.
  • Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices.
  • Ability to understand a client’s business problem and show the business impact of technical solutions through data.
  • Crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences.
  • Self-starter mindset with an eagerness to solve previously unsolved problems.
  • Excellent collaboration skills and openness to giving and receiving critical feedback across teams.
  • An eye towards analytics and helping to enable data driven decision making.
  • Compensation: The salary range for this role is $175-210K with flexibility plus meaningful equity plan.
  • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%.
  • Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn.
  • Office Life: Catered lunches, happy hours, pet-friendly spaces, and home office stipend.
  • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally.
  • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa.
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