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 [http://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.
\n
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.
\n
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.
