The Senior Data Engineer will architect scalable data pipelines, develop ETL processes, perform data analysis, and mentor juniors while ensuring data quality and governance.
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
About the Role:
We are looking for a Senior Data Engineer with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the features for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.
Responsibilities
- Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.).
- Develop ETL/ELT processes to ingest data from various structured and unstructured sources.
- Perform Exploratory Data Analysis (EDA) to uncover trends, validate data integrity, and derive insights that inform data product development and business decisions.
- Collaborate closely with data scientists, analysts, and software engineers to design data models that support high-quality analytics and real-time insights.
- Lead data infrastructure projects including management of data on cloud platforms (AWS/Azure), data lake/warehouse implementations, and data quality frameworks.
- Ensure data governance, security, and compliance best practices are followed.
- Monitor and optimize the performance of data systems, addressing any issues proactively.
- Mentor junior data engineers and contribute to establishing best practices in data engineering standards, tooling, and development workflows.
- Stay current with emerging technologies and trends in data engineering and recommend improvements as needed.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 8+ years of hands-on experience in data engineering or backend software development roles.
- Proficiency with Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow, Luigi, Prefect).
- Strong experience with cloud-based data platforms (e.g., AWS Redshift, GCP BigQuery, Snowflake, Databricks).
- Deep understanding of data modeling, data warehousing, and distributed systems.
- Experience with big data technologies such as Apache Spark, Kafka, Hadoop, etc.
- Familiarity with DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes).
Preferred Qualifications
- Experience working with real-time data processing and streaming data architectures.
- Knowledge of data security and privacy regulations (e.g., GDPR, HIPAA).
- Exposure to machine learning pipelines or supporting data science workflows.
- Familiarity with prompt engineering and how LLM-based systems interact with data.
- Experience working in cross-functional teams and with stakeholders from non-technical domains.
Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
Top Skills
Apache Airflow
Spark
AWS
Azure
Databricks
Docker
Hadoop
Kafka
Kubernetes
Python
Snowflake
SQL
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