Scala for Production Data Systems
Ship Spark pipelines and concurrent services with developers who write idiomatic Scala, not Java with different syntax.
👋 Talk to a Scala expert.
Trusted and top rated tech team
Functional code that handles real workloads
Scala powers some of the most demanding data systems in production, but finding developers who write it well is harder than finding Java talent. We build Spark pipelines, Akka services, and typed backends with engineers who understand immutability, type classes, and the functional patterns that make Scala worth using in the first place.
Our capabilities include:
- Apache Spark pipelines and data processing
- Akka actors and streaming applications
- Functional programming and type-safe APIs
- JVM performance tuning and optimization
- Java codebase interoperability
- Legacy Scala upgrades and migrations
Who we support
We work with engineering teams running Spark in production, building high-concurrency services, or maintaining Scala codebases where the original developers have moved on.
Data Engineering Teams
Your Spark jobs power critical pipelines but your team struggles to optimize them. Jobs run slow, memory errors appear in production, and nobody fully understands the Catalyst optimizer. You need engineers who know Spark internals, not just the API.
Teams With Concurrency Demands
Your services handle thousands of concurrent connections and you chose Scala for Akka or Cats Effect. But functional patterns have a learning curve, and your Java developers write imperative code in Scala syntax. You need developers who think functionally.
Companies With Legacy Scala Codebases
Your Scala 2 codebase works but upgrades keep getting postponed. Dependencies are outdated, the build takes forever, and migrating to Scala 3 feels risky. You need engineers who can modernize without breaking what runs.
Ways to engage
We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.
Staff Augmentation
Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.
Retainer Services
Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.
Project Engagement
Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.
We'll spec out a custom engagement model for you
Invested in creating success and defining new standards
At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.
Why choose Curotec for Scala development?
Our engineers write functional Scala fluently. We understand monads, implicits, type classes, and the patterns that make Scala codebases maintainable. You get developers who can optimize Spark jobs and ship Akka services without a ramp-up period on FP fundamentals.
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Extraordinary people, exceptional outcomes
Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration.
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Deep technical expertise
We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.
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Balancing innovation with practicality
We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.
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Flexibility in our approach
We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.
Scala capabilities for production systems
Spark Pipeline Development
Akka Actors & Streaming
Functional API Design
JVM Performance Optimization
Java Interoperability
Scala 3 Migration
Tools and technologies for Scala development
Core Language & Build Tools
Our engineers configure Scala builds with incremental compilation, dependency management, and tooling for large projects.
- Scala 2 & Scala 3 — Modern language versions with type inference, pattern matching, implicits, and functional programming constructs for expressive code
- sbt — Standard Scala build tool with incremental compilation, dependency resolution, and plugin ecosystem for complex multi-module projects
- Mill — Fast, simple build tool with clear configuration syntax and better performance for large Scala codebases
- Metals — Language server providing IDE features like autocomplete, go-to-definition, and inline errors for VS Code, Vim, and other editors
- IntelliJ Scala Plugin — Full-featured IDE support with refactoring, debugging, worksheet evaluation, and sbt integration
- Scalafmt & Scalafix — Code formatting and automated refactoring tools that enforce style consistency and assist with migrations
Data Processing Frameworks
Curotec builds batch and streaming pipelines using distributed frameworks that process terabytes across clusters efficiently.
- Apache Spark — Distributed processing engine for batch and streaming workloads with DataFrame APIs, SQL queries, and MLlib integration
- Apache Flink — Stream-first processing framework for low-latency, stateful computations with exactly-once guarantees and event-time handling
- Apache Kafka — Distributed event streaming platform for building real-time pipelines with Scala-native consumer and producer clients
- Delta Lake — Storage layer for Spark that adds ACID transactions, schema enforcement, and time travel to data lake architectures
- Apache Beam — Unified programming model for batch and streaming with runners for Spark, Flink, and Google Dataflow
- Hadoop & HDFS — Distributed storage and MapReduce processing for legacy big data workloads integrated with Spark clusters
Concurrency & Streaming Libraries
We implement actor systems and reactive streams using libraries designed for fault-tolerant, high-throughput message processing.
- Akka Actors — Actor-based concurrency model for building distributed, fault-tolerant systems with location-transparent messaging
- Akka Streams — Reactive streaming library with backpressure handling, graph-based processing, and integration with Kafka and HTTP
- Cats Effect — Purely functional runtime for asynchronous, concurrent programming with IO monad, fibers, and resource safety
- ZIO — Effect system for building concurrent applications with typed errors, dependency injection, and composable resource management
- FS2 — Functional streaming library for effectful, incremental processing with composable pipes and integration with Cats Effect
- Monix — Asynchronous programming library with Task, Observable, and scheduler abstractions for reactive Scala applications
Functional Programming Libraries
Our developers write type-safe, composable code using effect systems and abstractions that make complex logic easier to test and maintain.
- Cats — Functional programming library providing type classes, data types, and abstractions like Monads, Functors, and Applicatives
- Shapeless — Generic programming library for type-level computations, heterogeneous lists, and automatic typeclass derivation
- Circe — JSON library built on Cats with automatic codec derivation, cursor-based parsing, and compile-time safety
- Doobie — Functional JDBC layer for database access with pure functional queries, connection pooling, and typechecked SQL
- Http4s — Typeful HTTP library built on Cats Effect and FS2 for building streaming, functional web services and clients
- Tapir — Endpoint definition library that generates OpenAPI docs, server routes, and clients from a single typed description
Testing & Quality Tools
Curotec implements property-based testing and specs to validate functional code and catch edge cases before production.
- ScalaTest — Flexible testing framework with multiple styles including FunSpec, FlatSpec, and WordSpec for unit and integration tests
- Specs2 — BDD-style testing library with matchers, data tables, and integration with ScalaCheck for specification-based testing
- ScalaCheck — Property-based testing library that generates random inputs to verify code properties hold across edge cases
- MUnit — Lightweight testing framework with actionable errors, fixtures, and seamless integration with Cats Effect and ZIO
- WeaverTest — Parallel test framework for effectful code with shared resource management and Cats Effect integration
- Scoverage — Code coverage tool that measures statement and branch coverage for Scala projects with sbt and Maven plugins
JVM & Deployment Infrastructure
Our team profiles JVM performance, configures containers, and deploys Scala services to Kubernetes and cloud environments.
- GraalVM — High-performance runtime with native image compilation for faster startup times and reduced memory footprint in Scala apps
- JVM Profilers — VisualVM, YourKit, and async-profiler for heap analysis, CPU profiling, and garbage collection tuning on Scala workloads
- Docker — Container packaging for Scala applications with multi-stage builds that produce slim, production-ready images
- Kubernetes — Orchestration for deploying Scala services with autoscaling, health checks, and rolling updates across clusters
- sbt-native-packager — Build plugin that generates Docker images, Debian packages, and universal archives from sbt projects
- Datadog & Prometheus — Observability platforms for monitoring Scala applications with JVM metrics, traces, and custom instrumentation
FAQs about our Scala development services
How do you avoid Java-style Scala code?
We screen for idiomatic Scala skills during hiring. Our engineers understand functional patterns, immutability, and type-level programming—not just syntax differences from Java. Code reviews catch imperative habits before they spread.
Can you optimize Spark jobs that run too slow?
Slow Spark jobs usually trace to shuffle operations, skewed partitions, or inefficient joins. We profile execution plans, tune Catalyst optimizations, and restructure transformations to reduce data movement across the cluster.
What's involved in migrating from Scala 2 to Scala 3?
Migration includes updating implicits to given/using syntax, replacing macros with new metaprogramming, and adjusting for stricter type inference. We migrate incrementally so production code keeps running during the transition.
Do you work with both Akka and Cats Effect?
Yes. Some teams prefer Akka’s actor model for distributed systems, others prefer Cats Effect or ZIO for pure functional concurrency. We work with whatever fits your architecture and team preferences.
Can you integrate Scala with our existing Java codebase?
Scala compiles to JVM bytecode and calls Java directly. We structure modules so Scala and Java interoperate cleanly, handle nullability at boundaries, and expose Scala code to Java consumers without awkward wrappers.
How do you test functional Scala code?
Property-based testing with ScalaCheck validates behavior across generated inputs. Effect-based code gets tested with libraries like MUnit or WeaverTest that handle async execution. We aim for coverage that catches edge cases, not just happy paths.
Ready to have a conversation?
We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.
