Relativity
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Senior Big Data Engineer
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Relativity 1 day ago Be among the first 25 applicants Job Overview Join our team as we reimagine and modernize the core of Relativity’s data architecture. You’ll play a pivotal role in transforming the Document Data Model (DDM)—a foundational component of our platform—into a more scalable, performant, and developer-friendly system. This high-impact initiative is central to our Cloud Native Transformation goals and touches nearly every part of our product. You’ll work on complex, high-scale systems that directly influence customer experience and internal productivity, while helping to shape the future of how data is modeled, accessed, and scaled across Relativity. Posting Type : Hybrid Job Description And Requirements Your role in action Design and implement scalable performance improvements to the DDM and its supporting infrastructure. Build APIs and backend services that integrate with the DDM and support new use cases. Collaborate with product and engineering teams to define and execute modernization strategies. Drive improvements in system observability, reliability, and maintainability. Participate in the on-call schedule to investigate and fix production issues related to data processing pipeline or query engine. Participate in code reviews for team projects. Focus on quality through comprehensive unit and integration testing. Your Skills 4+ years of experience building commercial-grade systems in SaaS or tech environments. Proficiency in C# or equivalent languages (Go, Java, Ruby) and design patterns. Deep understanding of relational and NoSQL databases, including schema design and performance tuning. Experience with microservices, Kubernetes, and CI/CD practices. Proven ability to design and build APIs (REST, gRPC, GraphQL) and backend services. Experience with abstracting OLTP data CRUD access via APIs. Knowledge of software engineering practices & SDLC, including coding standards, code reviews, source control, build, testing, and operations. Ability to mentor and improve team productivity based on past experiences. Preferred Skills Proficiency with CosmosDB, CockroachDB, or Postgres. Familiarity with infrastructure-as-code and DevOps practices. Experience designing and maintaining ETL/ELT pipelines in cloud-native environments. Background in event-driven architectures or streaming systems. Experience with DDD, Spark (PySpark or Scala), DataFusion (Rust), and columnar formats like Delta or Iceberg. Compensation Relativity offers competitive, fair, and equitable pay practices. The position's total compensation includes base salary, annual bonus, and long-term incentives. The salary range is $126,000 - $190,000, with final offers based on experience, skill set, and internal pay equity. Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and IT Industry: Software Development This job posting is active. No indication that it is expired.
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Senior Big Data Engineer
role at
Relativity 1 day ago Be among the first 25 applicants Job Overview Join our team as we reimagine and modernize the core of Relativity’s data architecture. You’ll play a pivotal role in transforming the Document Data Model (DDM)—a foundational component of our platform—into a more scalable, performant, and developer-friendly system. This high-impact initiative is central to our Cloud Native Transformation goals and touches nearly every part of our product. You’ll work on complex, high-scale systems that directly influence customer experience and internal productivity, while helping to shape the future of how data is modeled, accessed, and scaled across Relativity. Posting Type : Hybrid Job Description And Requirements Your role in action Design and implement scalable performance improvements to the DDM and its supporting infrastructure. Build APIs and backend services that integrate with the DDM and support new use cases. Collaborate with product and engineering teams to define and execute modernization strategies. Drive improvements in system observability, reliability, and maintainability. Participate in the on-call schedule to investigate and fix production issues related to data processing pipeline or query engine. Participate in code reviews for team projects. Focus on quality through comprehensive unit and integration testing. Your Skills 4+ years of experience building commercial-grade systems in SaaS or tech environments. Proficiency in C# or equivalent languages (Go, Java, Ruby) and design patterns. Deep understanding of relational and NoSQL databases, including schema design and performance tuning. Experience with microservices, Kubernetes, and CI/CD practices. Proven ability to design and build APIs (REST, gRPC, GraphQL) and backend services. Experience with abstracting OLTP data CRUD access via APIs. Knowledge of software engineering practices & SDLC, including coding standards, code reviews, source control, build, testing, and operations. Ability to mentor and improve team productivity based on past experiences. Preferred Skills Proficiency with CosmosDB, CockroachDB, or Postgres. Familiarity with infrastructure-as-code and DevOps practices. Experience designing and maintaining ETL/ELT pipelines in cloud-native environments. Background in event-driven architectures or streaming systems. Experience with DDD, Spark (PySpark or Scala), DataFusion (Rust), and columnar formats like Delta or Iceberg. Compensation Relativity offers competitive, fair, and equitable pay practices. The position's total compensation includes base salary, annual bonus, and long-term incentives. The salary range is $126,000 - $190,000, with final offers based on experience, skill set, and internal pay equity. Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and IT Industry: Software Development This job posting is active. No indication that it is expired.
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