Java Engineer Snowflake

• Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture
• Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data
• Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization
• Develop and maintain advanced SQL queries and data workflows to support business and platform requirements
• Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges
• Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable
• Develop and maintain robust APIs for internal and external consumers
• Work with AWS cloud services to design and support reliable, scalable backend systems
• Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity
• Implement and maintain automated testing strategies (unit and integration)
• Contribute to and maintain GitHub Actions pipelines
• Ensure system reliability through monitoring, logging, and observability best practices
• Collaborate effectively in a distributed team, communicating progress, risks, and dependencies
• Take ownership of features end-to-end, from design through deployment and production support

• 6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java21, SpringBoot3.x, Docker
• Advanced SQL expertise, including writing, optimizing, and troubleshooting complex queries against large and complex datasets
• Experience working with data-intensive applications and complex data models, including data analysis, transformation, aggregation, and optimization
• Hands-on experience with Snowflake, including complex query development, performance optimization, data modeling, and analytics workloads (or any alternative tool)
• Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English
• Hands-on experience with AWS (core services and cloud-native development)
• Strong experience with microservices, MVC, and event-driven architectures
• Strong experience with JPA / Hibernate
• Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning
• Strong experience building and operating event-driven systems (e.g., Kafka, Kinesis)
• Solid test automation experience using JUnit and Cucumber
• Hands-on experience with GitHub Actions and/or similar CI/CD tools
• Ability to provide a 6-hour overlap with US Central Time (CT) on business days, working until 2PMCT at the latest, which is equivalent to working until 9PM Spain time.

Nice to Have

• Experience in processing and enriching event/telemetry data
• Experience with AWS Kinesis and CloudFormation
• Experience with jOOQ and Flyway
• Experience with Snowflake, BigQuery, or Databricks (data warehousing/analytics)
• Experience working with modern data warehousing platforms and analytical data environments
• Experience supporting data-centric products where understanding and manipulating complex datasets is more critical than implementing new application features
• Experience with Spring Cloud
• Experience working with geospatial data (PostGIS)

At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a general network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field.