At Intellias, we're always on the lookout for exceptional talent to join our team in Americas Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!
If you're enthusiastic about contributing your skills and experience to our organization, we invite you to submit your CV for this position
What we offer you in Intellias
- B2B Contract
- Fixed hour-based salary. You should have a private entrepreneurs (PE) and open US dollar bank account
- Technical equipment on request
- 100% English environment
Requirements:
- High autonomy, strong English communication, and ability to work with US Central Time overlap.
- 5+ years of Data Engineering experience working with Java.
- Familiarity with Claude Code.
- Strong hands-on experience with Spark, Spark SQL, and Big Data processing.
- Experience building and supporting production data pipelines.
- Experience with Kafka, Java streaming pipelines, and event-driven architecture.
- Experience with Airflow or similar orchestration tools.
- Strong data modeling skills, including schema design and normalization.
- Experience with data lakes, Hadoop, Hive, or similar ecosystems.
- Experience with customer data platforms, identity data, consent data, or behavioral data.
- Understanding of PII, GDPR, privacy workflows, or data deletion is a strong plus.
- Ability to write technical specs and translate business needs into engineering tasks.
- Strong code review, troubleshooting, and production support skills.
Responsibilities:
- Design, build, and maintain scalable data pipelines for customer data platforms.
- Work with large-scale batch and streaming data processing using Spark, Spark SQL, Kafka, and Big Data technologies.
- Support data platform modernization, migrations, new data source integration, and analytics/reporting needs.
- Design and evolve data models, schemas, tables, and data structures.
- Work with customer, identity, consent, behavioral, and privacy-related data.
- Support GDPR, PII handling, data deletion, and “Right to be Forgotten” workflows.
- Own solutions end-to-end, from requirements and technical specs to delivery and production support.
- Write clear technical specifications, Jira stories, and implementation-ready requirements.
- Review AI-generated or manually written code for quality, performance, scalability, and maintainability.
- Manage orchestration workflows, DAGs, backfills, dependencies, monitoring, alerting, and SLAs.
- Collaborate with product, engineering, data, and cross-functional stakeholders.
- Work in small senior AI-enabled engineering pods in a fast-moving environment.