Top Senior Scala Jobs in San Diego, CA

Lead Data Acquisition Team, drive AI-augmented development, establish specification-driven methodology, oversee data pipeline architecture and ensure operational excellence.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

The Software Architect will design and implement intelligent document processing and agentic evaluation frameworks, leading architectural direction and coding in Python and Scala/Java.

The Java - Scala Architect will need to program in Java and Scala, manage Apache Spark technologies, and work with NoSQL systems. Additional experience with Hadoop, web services, and data pipeline building is preferred.

Design and build scalable web applications, collaborate on product direction, and implement complex systems using ML techniques, ensuring software quality.

Design, build, and operate distributed, data-intensive backend systems and pipelines. Own production data infrastructure (streaming, batch, analytical stores), debug production incidents, participate in on-call rotations, partner with product and frontend teams, write/review architecture and code, and improve observability, reliability, and deployment practices.

The Staff Software Engineer will architect and build scalable solutions for Cloudera's Data Platform, contribute to Apache Spark, enhance engineering processes, and work with large-scale distributed systems.

As a Senior Backend Engineer at Eight Sleep, you will develop and maintain back-end services and improve data processing, supporting critical business logic in distributed systems.

Lead the strategy and execution for Calendly's data platform, overseeing engineering practices, team development, and cross-functional collaboration to leverage trusted data across the organization.

As a Senior Backend Engineer at Socure, you'll develop scalable backend services for identity verification, optimize system performance, and collaborate with cross-functional teams on document processing integrations.

Design and build scalable backend systems for a multi-tenant travel commerce platform. Orchestrate AI agents, implement guardrails and feedback loops, own end-to-end features, and collaborate with PMs and senior engineers to ship partner-facing products rapidly.

Design, build, and deliver scalable big data ETL solutions across distributed environments using Spark (PySpark/Scala), Hadoop ecosystem, Databricks, and Azure. Develop and automate ETL workflows, tune Spark jobs, integrate multiple data sources, create tests and technical designs, collaborate with Data Science, QA, and Ops, and troubleshoot data delivery issues under agile processes.

Lead a 5-6 person engineering team to build a cloud-native, AI-driven Coordination of Benefits product. Own architecture, roadmap, production releases, hiring, coaching, and engineering standards. Collaborate with product, ML, UX, QA, and operations to design rules engines, claims pipelines, and scalable secure systems for regulated healthcare data.

Lead architecture and delivery of large-scale, cloud-native distributed systems. Own service lifecycle in Kubernetes, drive scalability and reliability, mentor engineers, participate in on-call, and coordinate cross-functional initiatives.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

The role involves designing, building, and optimizing a data platform, collaborating with cross-functional teams, and ensuring data quality and security.

Remote backend engineer role building web services and data pipelines using Scala and Java. Requires Akka/Pekko (streams, actors, clustering, persistence, HTTP), functional programming with Cats/Cats Effect, streaming/distributed system design, AWS services (Kinesis, DynamoDB, SQS/SNS, API Gateway, IAM, KMS), SQL optimization, CI/CD, and hands-on high-availability architecture experience.

Design, develop, and maintain scalable backend services and distributed systems using Scala, Java, and the Akka ecosystem; build RESTful APIs and cloud-native solutions on AWS; design data access with Slick/SQL; maintain CI/CD pipelines; participate in architecture, code reviews, troubleshooting, and performance improvements.

Build and ship complex consumer-facing full stack applications. Work on React/TypeScript frontends (offline PWAs using IndexedDB/DexieJS and Workbox) and Scala/Play backends with PostgreSQL. Deploy on AWS via Kubernetes. Mentor engineers, collaborate in product-focused cycles, and thrive in a fast-moving startup environment.

Lead platform strategy, architecture, and hands-on development. Design, build, deploy, and operate high-performance, fault-tolerant integrations and platform enhancements. Drive security/compliance, mentor engineers, recruit senior talent, align technology with business goals, and communicate technical vision to stakeholders.

Design, develop, optimize, and deploy high-performance data processing applications using Scala and Apache Spark on Cloudera CDH. Build and tune ETL pipelines integrating HDFS, Hive, Impala, HBase, and Kafka. Ensure data integrity and security, troubleshoot performance, collaborate with data scientists and analysts, and implement version control and CI/CD.

Design, develop, test, optimize, and deploy large-scale Spark/Scala data processing and ETL pipelines on Cloudera Hadoop. Collaborate with data scientists and analysts, ensure data integrity and security, troubleshoot performance, and implement version control and CI/CD for Spark applications.

Design, develop, optimize, test, and deploy large-scale Spark/Scala data processing and ETL pipelines within the Cloudera ecosystem. Collaborate with data scientists and analysts, ensure data integrity and security, troubleshoot performance issues, and implement version control and CI/CD for production data solutions.

Design, develop, optimize, and deploy large-scale data processing applications using Scala and Apache Spark within the Cloudera Hadoop ecosystem. Build ETL pipelines, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, collaborate with data scientists and analysts, and implement version control and CI/CD for Spark applications.