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Relativity - Las Vegas, NV
Senior Big Data Engineer
Job Type: Not specified
Experience: Not specified
About Job
Posting Type Hybrid 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. 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. • Actively participate in the on-call schedule to investigate and fix production issues related to our data processing pipeline or query engine. • Participate in code reviews for projects written by your team • Focus on quality through comprehensive unit and integration testing Your skills • 4+ years of experience building commercial-grade systems in a SaaS or tech environment. • Strong 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, container orchestration (Kubernetes), and CI/CD practices. • Proven track record of designing and building APIs (REST, gRPC, GraphQL) and backend services. • Experience abstracting direct OLTP data CRUD access via APIs is essential. • Knowledge of professional software engineering practices & software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations • Leverages best practices and past experiences to mentor and improve the productivity of the team We'd particularly love it if you have: • Demonstrated 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 Domain Driven Design (DDD). • Experience with Spark (PySpark or Scala) or DataFusion (Rust) and columnar table formats like (Delta or Iceberg). 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: $126,000 and $190,000 The 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. Posting Type Hybrid 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. 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. • Actively participate in the on-call schedule to investigate and fix production issues related to our data processing pipeline or query engine. • Participate in code reviews for projects written by your team • Focus on quality through comprehensive unit and integration testing Your skills • 4+ years of experience building commercial-grade systems in a SaaS or tech environment. • Strong 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, container orchestration (Kubernetes), and CI/CD practices. • Proven track record of designing and building APIs (REST, gRPC, GraphQL) and backend services. • Experience abstracting direct OLTP data CRUD access via APIs is essential. • Knowledge of professional software engineering practices & software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations • Leverages best practices and past experiences to mentor and improve the productivity of the team We'd particularly love it if you have: • Demonstrated 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 Domain Driven Design (DDD). • Experience with Spark (PySpark or Scala) or DataFusion (Rust) and columnar table formats like (Delta or Iceberg). 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: $126,000 and $190,000 The 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. job perk: Posted At: 10 hours ago, job perk: Schedule Type: Full-time and Part-time, job perk: Qualifications: No degree mentioned, job perk: Health Insurance: True
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