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Netomi is the leading agentic AI platform for enterprise customer experience, working with global brands like Delta Airlines, MetLife, and United to enable AI agent automation at scale across customer journeys. The company is backed by WndrCo, Y Combinator, and Index Ventures.
As a Data Engineer I, you will architect and implement scalable, secure, and reliable data pipelines using modern platforms such as Spark, Databricks, Airflow, and Snowflake. You will develop ETL/ELT processes to ingest data from various structured and unstructured sources, and perform exploratory data analysis (EDA) to uncover trends, validate data integrity, and derive insights that inform data product development and business decisions.
You will collaborate closely with data scientists, analysts, and software engineers to design data models that support high-quality analytics and real-time insights. You will write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability, primarily in Python. The role emphasizes ownership of end-to-end feature delivery in an agile, collaborative environment.
REQUIREMENTS:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 2+ years of hands-on experience in data engineering or backend software development roles
- Solid understanding of relational databases (RDS, MySQL, PostgreSQL)
- Experience with Apache Kafka or RabbitMQ for building asynchronous, decoupled systems
- Proficiency with Python, SQL, and at least one data pipeline orchestration tool (Apache Airflow, Luigi, Prefect)
- Strong experience with cloud-based data platforms (AWS Redshift, GCP BigQuery, Snowflake, Databricks)
- Deep understanding of data modeling, data warehousing, and distributed systems
ADDITIONAL SKILLS (preferred):
- Familiarity with DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes)
- Exposure to AI/ML-integrated solutions or interest in working alongside data science teams
- Knowledge of data security and privacy regulations (GDPR, HIPAA)
- Familiarity with prompt engineering and how LLM-based systems interact with data
