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Data Engineering
Data Engineer
Senior
Argentina, Brazil, Colombia, Egypt, India, Mexico, Peru, Poland, Ukraine
Remote
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Seeking Senior Data Engineers with deep experience in distributed data systems, Spark-based data processing, and production-grade data platform engineering. These engineers will be expected to operate independently, own technical solutions end-to-end, and contribute to both system design and implementation in a highly automated development environment.
What project we have for you
Client’s Customer Platform & Data (CPD) organization is expanding its engineering teams to support critical initiatives across customer data, identity resolution, bookings, loyalty programs, and AI-powered customer insights. The platform processes large-scale batch and real-time data, powering customer-facing experiences and data-driven decision-making across Expedia Group.
Engineers will build, optimize, and operate production-grade data pipelines and platforms using Scala, Spark, Kafka, and Airflow. The environment emphasizes strong engineering discipline, data quality, system reliability, and AI-assisted software development practices.
What you will do
- Design, build, and optimize batch and streaming data pipelines using Scala and Spark.
- Develop and support Kafka/Flink-based streaming solutions.
- Build and maintain Airflow DAGs, backfills, and production workflows.
- Design data models, schemas, and source-to-target mappings.
- Implement data quality controls, validation, and monitoring.
- Troubleshoot production issues and ensure platform reliability.
- Review and validate AI-generated code and maintain engineering quality standards.
- Own systems end-to-end, including performance, cost, scalability, and reliability.
What you need for this
- 5+ years of Data Engineering experience.
- Strong Scala and Apache Spark.
- Experience building and owning production ETL/ELT pipelines.
- Streaming experience with Kafka, Kafka Streams, Flink, or similar.
- Apache Airflow.
- Comfortable with Java, Scala, Python, and configuration-heavy code.
- Strong data modeling, schema design, and source-to-target mapping.
- Data quality, validation, and production troubleshooting.
- Strong software engineering practices (testing, CI/CD, versioning).
- Ability to review AI-generated code.
Strong nice-to-have
- Flink expertise.
- ScyllaDB, Cassandra, DynamoDB, or other NoSQL platforms.
- Customer Data Platform (CDP), identity resolution, loyalty, clickstream, or booking data experience.
- Experience with SLAs, SLOs, observability, and monitoring.
- GitHub Copilot, Claude, Cursor, or similar AI-assisted development tools
Success Profile
The ideal candidate is a senior, highly autonomous engineer who can clearly speak:
- A large-scale Spark job they built or optimized
- Scala production experience
- Streaming experience with Kafka Streams, Flink, or similar
- Airflow DAGs, backfills, and production workflows
- Data quality checks and pipeline validation
- Comfortable with Java, Scala, Python, and configuration-heavy code.
- Production troubleshooting and deployment discipline
- Experience reviewing AI-generated code rather than blindly accepting it
- Ownership mindset over systems, datasets, reliability, cost, and quality
- The team operates spec-to-code methodology. So awareness of frameworks and tools like spec-led development, spec-kit, agent-skills etc. are great.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
AI
Kafka
Python
Scala
Streaming
