What are the responsibilities and job description for the Senior Data Engineer position at Relativity?
Posting Type
Remote
Job Overview
Relativity powers the world's most critical legal, compliance, and investigative work. From corporate compliance to human rights, our platform must preserve trust in global investigations while handling petabytes of sensitive evidence. Our team builds the distributed data backbone that powers AI-assisted evidence analysis across billions of documents daily. We are at the forefront of Legal Data Intelligence, building technology that helps organizations Organize Data, Discover Truth, and Act on It.You'll join the Customer Strategic Data team, which builds the data platform that describes and establishes the context of a legal matter, powering better human and AI decision-making. Our services are at the forefront of data intelligence: enriching evidence sets, expanding what's relevant, and improving the quality and defensibility of responsiveness outcomes at global scale.
As a Senior Data Engineer, you will design, build, and optimize high-performance data systems that handle massive volumes of structured and unstructured information. You'll work across cloud environments, data orchestration tools, and real-time processing frameworks, ensuring our data ecosystem is both resilient and ready to fuel AI innovation. This is a hands-on technical role with leadership expectations: you'll influence architecture, mentor others, and shape the future of data engineering at Relativity. Your contributions will directly influence some of the most critical legal processes worldwide, from real-time investigations to large-scale litigation.
Job Description and Requirements
WhatYou'llDo
- Architect, build, andoperatedistributed systems that process large volumes of structured and unstructured data.
- Design and deliverscalable, secure, and observabledataintegration and ETLsolutionsusingdbtto ensure end-to-end data integrity and availability.
- Partner with AI/ML engineersand datascientiststo build data foundations that accelerate model training, experimentation, and production deployment.
- Drive innovationin data infrastructure and workflow automation to accelerate analytical and AI capabilities.
- Collaborate cross-functionallywith product, AI/ML, and platform teams to deliver data solutions that power critical business outcomes.
- Mentor engineersand contribute to company-wide standards for high-performance, reliable data systems.
WhatYou'llBring
- 5 - 8 years of professional experience in data engineering, data architecture, or backend systems at scale.
- Proven ability to design andoptimizecomplex data systems for performance, scalability, and security.
- Deep understanding ofdata modeling,ETL/ELT principles, andworkflow orchestration.
- Experience with modern software development practices, including CI/CD, testing, and infrastructure automation.
- Strong communicationand collaboration skills, with the ability to explain complex data concepts to diverse audiences.
- A passion for creating clarity and insight through data, not just managing pipelines.
Preferred Experience
- Hands-on experience with Databricksand/orAzure-based data architectures.
- Background in building data systems thatsupportmachine learningorAI-drivenapplications.
- Experience leading modernization or migration of large-scale data platforms.
- Familiarity with observability and cost-optimization strategies for distributed data systems.
What Success Looks Like
- First 3 months:Deliver data pipeline enhancements and become fluent in ourplatform'sarchitecture. Develop a deep understanding of our data domains and key stakeholders.
- 6 months:Establishyourself as an owner ofa major data flow end-to-end, improving performance, reliability,anddata quality.
- 12 months:Lead data engineering initiatives that expand Relativity's analytics and AI capabilities. Mentor others and influence data engineering standardscompany-wide.
WhyYou'llLove It Here
- Impactful mission: Your work supports investigations, litigation, and compliance that affect lives and industries worldwide.
- Modern data stack:Work withcutting-edgetools and scalable cloud architectures.
- Growth path: Opportunities to lead, learn, and expand your impact across AI and product ecosystems.
- Inclusive environment: Diverse backgrounds and perspectives make us stronger.
- Compensation & benefits: Competitive salary, equity, flexible work options, and professional development support.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
$110,000 and $166,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Suggested Skills:
Big Data, Big Data Technologies, Database Management, Data Governance, Data Modeling, Data Pipelines, Data Warehousing (DW), Performance Tuning, Python (Programming Language), Structured Query Language (SQL)
Salary : $110,000 - $166,000