Live opening · Posted 3 days ago

Senior Data Engineer (Scala)

Intellias · Mexico (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyIntellias
LocationMexico (Remote)
Work modeYes
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

At Intellias, we're always on the lookout for exceptional talent to join our team. 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!
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.
What we offer you in Colombia
📄 B2B contract with Intellias, payment in USD
🏠 100% work from home
🗣️ 100% English environment
🎁 Recognition: kudos, anniversary & birthday gifts 🎉🎂
Requirements:
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.
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
Responsibilities:
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.
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.

Work arrangement
Yes

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