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.
| Location | New York, New York |
| Salary | $105,000–$185,000 |
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