Senior Data Engineer, Netomi

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Python

Kafka

Airflow

Hadoop

Azure

Redshift

Spark

Luigi

Snowflake

BigQuery

Senior and Expert level

Remote from Canada

Customer service automation

Open for applications

Customer service automation

201-500 employees

B2BArtificial IntelligenceCustomer serviceSaaSAutomation

Open for applications

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Python

Kafka

Airflow

Hadoop

Azure

Redshift

Spark

Luigi

Snowflake

BigQuery

Senior and Expert level

Remote from Canada

201-500 employees

B2BArtificial IntelligenceCustomer serviceSaaSAutomation

Company mission

To enable companies to build deep engagement in this new era with conversations that are emotional, empathetic, intuitive, and on brand.

Job

Company

Role

Who you are

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)

Desirable

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

What the job involves

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
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

Our take

Customer service plays an essential role for any organisation wanting a long term and profitable business. It’s a critical differentiator and catalyst for customer loyalty, with the majority of consumers saying that bad customer service experiences have caused them to switch brands or service, or back out of a purchase.

Netomi provides companies with a convenient, intelligent and cost effective way to facilitate the best customer interactions on email, chat and mobile. Its conversational AI system allows businesses to activate, manage and train AI to automatically resolve customer issues, operating more effectively than classic AI chatbots.

Netomi is the market leader in AI-first customer experience, and, with the value of the chatbot market rapidly increasing, it has the space to grow. The company has also seen good investment which is allowing it to increase headcount and continue scaling its operations.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.3)

Company

Funding (last 2 of 4 rounds)

Nov 2021

$30m

SERIES B

Mar 2019

$10m

SERIES A

Total funding: $47.3m

Company benefits

Flexible work environments
Educational / professional development opportunities
Equity opportunities
401K plan
Snacks, breakfast and a daily catered lunch
Work from home opportunities
Health insurance

Company HQ

Hayward Park, San Mateo, CA

Leadership

Puneet Mehta

(Founder & CEO)

Previously Senior VP of Engineering and Data Science at Citi, Software Engineer and Scientist at IBM TJ Watson Center and Vice President of Engineering at JPMorgan Chase.

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