Seeking Strong Middle 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 іstrong middle 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

Develop and maintain batch and streaming data pipelines using Scala and Spark.
Build and support Kafka-based data processing solutions.
Create and maintain Airflow DAGs and workflows.
Implement data models, schema mappings, and validation checks.
Monitor pipeline health, troubleshoot production issues, and support deployments.
Review and validate AI-generated code and proposed implementations.
Collaborate with senior engineers, product teams, and data consumers.

What you need for this

Requirements

3+ years of Data Engineering experience.
Hands-on Python, Scala and Apache Spark experience.
Experience with batch processing and distributed data systems.
Kafka, Kafka Streams, Flink, or similar streaming technologies.
Apache Airflow.
Data modeling, SQL, and ETL/ELT development.
Experience with testing, code reviews, version control, and CI/CD.
Strong troubleshooting and production support skills.
Good communication skills and ownership mindset.

Nice to Have

Flink experience.
Cassandra, DynamoDB, ScyllaDB, or other NoSQL databases.
Customer data, clickstream, loyalty, booking, or transactional data experience.
Experience with Copilot, Claude, Cursor, or other AI-assisted development tools.
Understanding of data quality monitoring and observability.

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

Spark

Strong Middle Data Engineer

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