Senior Data Engineer

Description

About Us

Hello, we’re Flare! We are reimagining how attorneys and clients work together. We are obsessed with building solutions that empower attorneys and consumers through the legal journey. Funded by leading VC firms, we are an industry leader in legal technology. Our platform simplifies the delivery of complex legal services while providing ease and clarity to clients and attorneys throughout the process. With a global team that brings a fresh perspective, Flare is revolutionizing the way legal services are delivered. We’re a team of creative problem-solvers who want to make the world a better place. Join us.

Check out helloflare.com for more!

Overview

At Flare, reliable and scalable data infrastructure isn't just a technical goal - it's at the heart of our ability to empower AI-driven innovation and enhance our product offerings. Understanding deeply the needs of our products and engineering teams, identifying the optimal data sources, architecting intuitive data models, and building robust data systems form the core of our mission.

We are looking for a Senior Data Engineer to join our growing Data Engineering team. This is a high-impact role focused on designing, building, and scaling our Production Data Layer Infrastructure, the foundational systems that empower engineering teams to build data-driven features and that directly power our AI solutions. You will take ownership of developing and evolving core infrastructure used by product and backend engineers across the company. Your work will enable seamless access to high-quality, reliable data for both operational and AI-powered product use cases.

Responsibilities:

• Lead the development and implementation of scalable, production-grade data infrastructure
• Partner closely with backend and platform teams to enable data-powered product development
• Build and maintain the data systems that serve both real-time and batch workloads for analytical and product needs
• Create robust, high-quality data pipelines and tooling with strong SLAs and high resilience
• Drive standards in data modeling, observability, orchestration, and governance
• Contribute to architectural decisions that impact Flare’s AI strategy and long-term scalability
• Mentor engineers and collaborate across R&D teams to elevate the technical capabilities of the team

Requirements

Requirements

• 5+ years of experience as a Data Engineer, particularly within product engineering environments
• Hands-on Experience building data streaming infrastructure (e.g., Kafka, Flink), or workflow engines
• Strong expertise in PostgreSQL, Snowflake, and ClickHouse or other modern databases
• Advanced proficiency in SQL and Python
• Proven experience building and maintaining production-ready data systems that support both business intelligence and product logic
• Solid understanding of data architecture, and best practices for data reliability and scalability
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent experience
• Strong communication and collaboration skills; comfortable working cross-functionally with engineering and product

Bonus Points

• Familiarity with Data Mesh architecture or decentralized data ownership models
• Experience with orchestration tools (e.g., Airflow) and distributed systems
• Experience building platforms that support AI/ML pipelines

Flare provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.