
Job Overview
Location
9 Locations
Job Type
Full-time
Category
Data Engineer
Date Posted
June 20, 2026
Full Job Description
đź“‹ Description
- • Lead and mentor a team of data platform engineers, fostering collaboration, knowledge sharing, and professional growth
- • Drive architectural decisions for distributed systems and lakehouse platforms using Spark, Delta Lake, and Iceberg
- • Oversee the design and implementation of scalable data pipelines and analytics workflows
- • Ensure adherence to software engineering best practices, including clean code, modular design, CI/CD, automated testing, and code reviews
- • Collaborate with stakeholders to align technical solutions with business objectives and analytics needs
- • Champion governance, observability, and compliance across data platforms
- • Manage performance tuning, scalability strategies, and cost optimization in cloud-native environments
- • Facilitate architecture reviews and contribute to building fault-tolerant, future-ready systems
- • Communicate effectively with leadership and cross-functional teams to provide updates and resolve blockers
- • Participate in on-call rotations as part of shared team responsibilities
🎯 Requirements
- • Proven experience leading technical teams in data engineering or platform development
- • Strong programming skills in Python and SQL, with hands-on experience in Apache Spark
- • Expertise in Delta Lake and/or Apache Iceberg for lakehouse architectures
- • Familiarity with dbt, Databricks, and Snowflake for analytics workflows
- • Solid understanding of software engineering principles, CI/CD, and automated testing
- • Experience with Kubernetes, Docker, and infrastructure-as-code tools
- • Understanding of performance tuning, scalability strategies, and cost optimization for large-scale systems
- • Strong communication and stakeholder management skills
- • Ability to drive architectural decisions and mentor engineers
🏖️ Benefits
- • Competitive salary, benefits, DTO, parental leave, and equity program
- • Impactful mission: Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters
- • Engineering at scale: Work on distributed, cloud-native systems that process large volumes of data
- • Cutting-edge technology: Build with AI, cloud platforms, and scalable architectures shaping legal tech
- • Growth and ownership: Gain experience owning systems end-to-end across cloud and distributed environments
- • Collaborative culture: Work in a team focused on knowledge sharing and continuous improvement
- • Inclusive environment: Diverse perspectives create stronger teams and better outcomes
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About kCura Corporation
Develops and markets Relativity, a web-based e-discovery platform for legal, government, and compliance teams. The software ingests massive volumes of unstructured data, indexes it, and provides search, analytics, and review workflows to identify relevant documents for litigation, investigations, and regulatory requests. Headquartered in Chicago, it serves law firms, corporations, and service providers worldwide, integrating with third-party data sources and offering cloud, on-premise, and hybrid deployment options.
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