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# Data engineer with Java

- **Company:** Intellibee, Inc.
- **Location:** Malvern, AR, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Cloud Storage, Computer Programming, Data Validation, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Systems, Software Design Patterns, Distributed Systems, Elasticsearch, Failover, Fault Tolerance, Monitoring of Systems, Machine Learning, Logstash, Prometheus, DataOps, Swagger, SQLAlchemy, Openapi, Load Balancing, Postman, Large Language Models, Grafana, Kubernetes Helm Charts, Containerization, Data Lakes, Kubernetes, Apache Flink, Graphql, Api Design, Api Gateway, Kibana, Restful APIs, Data Pipelines, Dynatrace, Docker, Elk Stack, Microservices
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b40731666819fe80

## About the Role

* Data Pipeline Expertise - Capable of implementing a diverse range of data solutions with significant autonomy, demonstrating the ability to independently build and maintain complex ETL (Extract, Transform, Load) pipelines
 * Possesses advanced skills in pipeline complexity management and orchestration, with a proven track record of developing high-performance data products accessible via APIs for critical tier 1 trading applications
 * Demonstrates expertise in archiving data products to data lakes for comprehensive analytics purposes
 * Data Quality and Advanced Analytics - Robust proficiency in Data Quality, Data Validation, and Anomaly Detection techniques - Experience with AI/ML and Large Language Model (LLM) approaches to data analysis and validation - Ability to implement sophisticated data integrity and verification processes, Technical Skill Requirements:
 * Programming and Cloud Technologies - Expert-level skills in: - Python - SQL - AWS Cloud Services: - Cloud Storage - Lambda - ECS - Glue Data Quality - HDMI - Redshift Machine Learning - OpenSearch - RDS
 * API and Resilience Technologies - Advanced skills in building resilient API architectures, including: - Microservices design patterns - API gateway configuration - Circuit breaker implementations - Fault tolerance and error handling mechanisms - Expertise in API development and management tools: - Swagger/OpenAPI - Postman - GraphQL - RESTful API design principles
 * Proficiency in resilience engineering techniques: - Distributed system design - Load balancing - Failover strategies - Horizontal and vertical scaling approaches - Containerization and orchestration: - Docker - Kubernetes - Helm charts
 * Monitoring and observability: - Prometheus - Grafana - ELK Stack (Elasticsearch, Logstash, Kibana) - Distributed tracing with Jaeger or Zipkin Additional Technical Competencies
 * Proficient in Apache Flink - Advanced Java programming skills - Proven ability to create and optimize complex data products - Demonstrated Subject Matter Expertise (SME) in data engineering principles ## Professional Attributes
 * Capability to work independently through complex data challenges - Robust preference for candidates with prior experience in investment data domain and related technologies
 * Key Differentiators - Deep understanding of data engineering best practices - Ability to design scalable, efficient, and resilient data solutions - Proven track record of solving intricate data infrastructure problems with robust API architectures



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