Top Senior Scala Jobs in Washington, DC

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, 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.

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

Guide customers through cloud data engineering transformations, providing leadership for data projects and architecting production workloads. Collaborate with architects, deliver training, and enhance community adoption using Databricks Intelligence Platform.

Customer-facing Specialist Solutions Architect guiding customers on Databricks administration and secure production deployments on GCP. Architect production deployments, address security, networking, identity, automation (IaC), provide technical leadership for proofs-of-concept, training, and community contributions.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

As a Founding Engineer, you'll develop disruptive observability products, optimize software stacks, engage with customers, and contribute to company culture.

Design and implement the OTX runtime, integrate with diagnostic protocols, and ensure quality through testing and concurrency management.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

Design and evolve data pipelines, ensure accuracy of business datasets, improve data reliability, and partner across teams to provide insights and solutions.