AI Data Engineer (US).

We are seeking a skilled AI Data Engineer to join our team. You will design, build, and maintain scalable data pipelines that support AI and Machine Learning applications.

Key responsibilities

• Design, develop, and maintain scalable data pipelines for AI/ML applications.

• Build and optimize data processing workflows using Python, SQL, and Apache Spark.

• Prepare, clean, transform, and validate large datasets for machine learning models.

• Develop reliable ETL/ELT pipelines and integrate data from multiple sources.

• Collaborate with data scientists and ML engineers to support model development and deployment.

• Implement data quality, validation, and monitoring processes.

• Participate in architecture, code reviews, and technical design discussions.

• Follow data engineering, security, and software development best practices.

Required qualifications

• 2–5 years of professional data engineering experience.

• Strong programming skills in Python.

• Advanced knowledge of SQL.

• Hands‑on experience with Apache Spark.

• Experience building ETL/ELT pipelines.

Nice to have

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Knowledge of data warehouses like Snowflake, BigQuery, or Redshift.

• Familiarity with MLOps and machine learning data pipelines.

• Experience with streaming technologies such as Kafka.