Top Scala Jobs in Houston, TX

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

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.

Lead technical initiatives to design and build scalable, high-performance batch and real-time data pipelines and microservices. Use Big Data tools (Spark, Kafka, EMR, S3) and AWS services to ingest, store, transform, and query large datasets. Maintain and optimize systems, perform code reviews, mentor engineers, implement security and data governance, and collaborate with product teams in an Agile environment to deliver reliable production software.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

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.

The Azure Data Engineer will design and maintain data pipelines using Azure technologies, optimize data flows, and ensure data quality, collaborating with various stakeholders.

The Chief Architect will lead the technical direction for Legion's Workforce Management platform, focusing on architecture decisions, AI systems, and scalable software solutions. Responsibilities include hands-on coding, technical leadership, and ensuring systems meet enterprise standards for performance and security.

Design and build core systems for post-booking customer experiences, focusing on AI integration, scalable APIs, and middleware for travel partners.

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 customer engagements and pre-sales for Databricks-based data platforms. Architect and deliver end-to-end data engineering solutions supporting BI, ML/AI, and analytics; manage multiple accounts, mentor teams, ensure data quality, governance, and production readiness, and produce technical documentation and presentations.

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.

Design, build, and optimize end-to-end ETL/ELT pipelines on Databricks and cloud platforms (primarily AWS). Assess and reimplement existing pipelines, integrate streaming/batch data, perform data modeling, and support agile delivery while advising clients on architecture, performance, and reliability.

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.

Build and maintain full-stack features on a product-oriented team, owning product areas end-to-end. Ship customer-facing functionality, design and optimize data models and schemas, work with React state management, relational databases, cloud services, event streaming, caching, and AI tools. Collaborate cross-functionally, take high ownership, and occasionally support mission-critical work outside normal hours.

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.