Senior Data Engineer, Financial Operations

First Financial Bank; New York (NY); Remote; USD 133,000 - 155,000; Full time

Job summary

A leading financial institution in New York is seeking a Senior Data Engineer to join their Data Platform team. This role focuses on driving financial operations and enabling data science initiatives. Candidates should possess 4+ years of software engineering experience, with expertise in Python, Terraform, SQL, and Cloud architecture, preferably AWS. The position offers a competitive salary range of $133,784 - $155,000, with a focus on autonomy and impact in solving business challenges.

Qualifications

• 4+ years as a software engineer.
• Proven leadership of projects involving multiple teams across functional domains.
• Excellent communication skills with engineering colleagues and senior business leaders.

Responsibilities

• Partner with various teams to set the strategy for upcoming quarters.
• Identify initiatives to enhance product and system effectiveness.
• Coach and guide engineers on strategic projects.
• Contribute code to advance team impact.
• Lead by example in incident response.

Skills

Python

Terraform

SQL

Spark

Cloud Architecture - AWS Preferred

Machine Learning Operations

Experience with Financial Data

Project Leadership

Communication Skills

Job description

Senior Data Engineer, Financial Operations

Current ROOT EMPLOYEES: Please apply using the career page in Workday. This career site is for external applicants only.

The Opportunity

We are looking for a Senior Data Engineer to join our Data Platform team to drive financial operations and data science enablement at Root. In this role, you will be responsible for guiding technical implementations with engineers on your team or aligned to your domain, supporting financial and data science workflows and delivery, and working with a broad set of stakeholders to define the strategy and overall roadmap for the domain. As a Senior Data Engineer, you will help us make decisions and deliver software with lasting effects on the order of quarters and years.

At Root, we've built an end-to-end financial data operations solution with multiple data collection tools, scoring pipelines, reporting, invoicing, and analytics interfaces. Our data scientists and finance teams leverage this system to build payments, invoicing, missions, and compliance solutions across a wide array of channels. We're looking to increase our capabilities in this space. Your role is to achieve platform-level tooling to allow faster onboarding of data sources, integrate data with partners, create faster experimentation cycles, and build the financial data infrastructure to enable more rapid decision loops.

Root is a technology company revolutionizing personal insurance with a pricing model based upon fairness and a modern customer experience. Using the power of telematics, Root offers customers auto insurance based on how they drive, not solely on demographics. With its technology-forward products, Root is working to fundamentally change an industry for the better.

Root is a "work where it works best" company. This means we will support you working in whatever remote location works best for you across the US.

Salary Range: $133,784 - $155,000 (Bonus and LTI Eligible)

How You Will Make an Impact

• Partner with Marketing, Product, Data Science, Analytics, and experts in the Insurance group to set the strategy for the upcoming quarters.
• Identify and socialize important technical initiatives that increase the effectiveness of our products, systems, and teams.
• Coach and guide engineers on your team in planning experiments and projects that align with our strategic objectives.
• Contribute code each development cycle to advance the impact of the team.
• Lead by example in incident response ensuring we take action to continuously improve the resiliency of our systems.
• Coordinate with Staff Engineers across the organization to establish and evangelize standards and best practices.

What You Will Need to Succeed

• 4+ years as a software engineer
• Expertise in Python, Terraform, SQL, and Spark
• Expertise in Cloud Architecture - AWS Preferred
• Expertise in Machine Learning Operations (Preferred)
• Experience with Financial Data (Preferred)
• Proven leadership of projects involving multiple teams across functional domains
• Excellent communication skills with engineering colleagues and senior business leaders

As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We're happy to discuss it.

Don't meet every single requirement?

Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Root, Inc., we are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification, we encourage you to apply anyway!

Join us

At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team.

Who we are

We're harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, we've built one of the most innovative FinTech companies in the world. And we're just getting started.

What draws people to Root

Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and you'll hear similar reasons for why they joined:

Autonomy - for assertive self-starters, the opportunities to contribute are limitless.

Impact - by challenging the way it's always been done, we solve problems that have a big impact on our business.

Collaboration - we encourage rich discussion and civil debate at every turn.

People - we are inspired by the collection of crazy-smart people around us.

Job ID JR101955