Relativity · 4 days ago
Staff Data Engineer
Relativity is a company that powers critical legal, compliance, and investigative work. As a Staff Data Engineer, you will design, build, and optimize high-performance data systems, ensuring platform resilience and scalability while directly influencing sensitive legal processes.
ComputerEdiscoveryEnterprise SoftwareInformation TechnologyLegalLegal TechSoftware
Responsibilities
Architect, build, and operate distributed data systems that process massive volumes of structured and unstructured data
Design and deliver scalable, secure, and observable data integration and ETL pipelines using Databricks, dbt, and modern workflow orchestration tools—ensuring end-to-end data quality and availability
Partner with AI/ML engineers and data scientists to develop robust data foundations that accelerate model training, experimentation, and production deployment
Drive innovation in data infrastructure, workflow automation, and platform resiliency to expand analytical and AI capabilities
Collaborate closely with product, AI/ML, and platform teams to deliver data solutions that support critical business and customer outcomes
Provide architectural direction and design guidance across projects, ensuring alignment with platform strategy and engineering best practices
Mentor engineers, contribute to engineering standards, and champion a culture of high performance and reliability
Qualification
Required
8+ years of experience in data engineering, data architecture, or backend systems development at scale
Proven ability to design and optimize complex, high-volume data systems and pipelines for performance, scalability, security, and reliability
Deep expertise in data modeling, ETL/ELT methodologies, and workflow orchestration
A strong record of technical leadership—guiding architecture, leading major data initiatives, and mentoring engineers
Excellent communication and collaboration skills, with the ability to articulate complex concepts to technical and non-technical audiences
A passion for using data to drive insight and clarity—not just to move pipelines
Preferred
Hands-on experience with modern big-data and streaming technologies (e.g., Spark/Databricks, Kafka) in AWS, Azure, or GCP
Expertise in orchestration and transformation tools (e.g., Airflow, dbt) and cloud data warehouses such as Snowflake or BigQuery
Background in building data systems that power machine learning or AI-driven applications
Experience leading modernization or migration of large-scale data platforms
Familiarity with observability, operational excellence, and cost-optimization strategies for distributed data systems
Benefits
Strong compensation
Equity
Flexible work options
Ongoing professional development
Company
Relativity
Leading legal data intelligence company that builds technology to help users organize data, discover the truth, and act on it.
H1B Sponsorship
Relativity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (23)
2024 (12)
2023 (21)
2022 (25)
2021 (20)
2020 (30)
Funding
Current Stage
Late StageTotal Funding
$845MKey Investors
JPMorgan Chase & Co.Silver LakeICONIQ Growth
2026-01-16Debt Financing· $720M
2021-03-18Private Equity
2015-02-03Private Equity· $125M
Recent News
2025-12-10
Company data provided by crunchbase