Senior Data Engineer

Vacancy details

Data Engineering

Data Engineer

Senior

Brazil, Colombia, Mexico, Peru

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

These are hands-on senior engineering roles focused on building, scaling, and maintaining large-scale data platforms. Engineers will work on high-priority initiatives involving customer data, data pipeline expansion, compliance-related data engineering, new data source integration, and platform modernization.

The environment is evolving toward a spec-led, agentic development model where engineers spend significant time defining requirements, designing data models, writing technical specifications, reviewing generated code, and ensuring overall solution quality rather than manually writing all application code.

What you will do

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.

What you need for this

5+ years of Data Engineering experience.
Strong hands-on experience with Spark, Spark SQL, and Big Data processing.
Strong Scala experience; Java is also acceptable.
Experience building and supporting production data pipelines.
Experience with Kafka, 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.
Familiarity with AI-assisted development tools such as Copilot, Claude Code, Cursor, or ChatGPT.
Strong code review, troubleshooting, and production support skills.
High autonomy, strong English communication, and ability to work with US Central Time overlap.

Success Profile
The ideal candidate is a senior, highly autonomous engineer who can:
• Quickly learn new business domains and data models
• Own projects with minimal oversight
• Design scalable data models and platform solutions
• Deliver reliable production-ready data pipelines
• Perform high-quality technical specification writing and code reviews
• Thrive in a modern engineering environment that leverages agentic development and AI-assisted software delivery

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.