Data Engineer I

Logoslabs; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Netomi seeks a data/analytics engineer to architect scalable pipelines and drive data-informed decisions. You will build ETL/ELT processes, perform EDA, and collaborate with data scientists and engineers to design robust data models.

Strong Python and SQL skills plus cloud data platform experience are required; a DevOps mindset and awareness of AI/ML data concerns are a plus. The role emphasizes a collaborative, agile environment with responsibilities spanning data engineering and product

Qualifications

• Bachelor’s or Master’s in CS/Engineering or related field.
• 2+ years in data engineering or backend development.
• Solid knowledge of relational databases (RDS, MySQL, PostgreSQL).
• Experience with Kafka or RabbitMQ for async systems.
• Proficiency in Python, SQL, and at least one orchestration tool (Airflow/ Luigi/ Prefect).
• Strong experience with cloud data platforms (Redshift/ BigQuery/ Snowflake/ Databricks).
• Deep understanding of data modeling and warehousing.

Responsibilities

• Architect scalable data pipelines using modern platforms (Spark, Databricks, Airflow, Snowflake).
• Develop ETL/ELT processes to ingest diverse data sources.
• Perform Exploratory Data Analysis to uncover trends and inform product decisions.
• Collaborate with data scientists, analysts, and engineers on data models.
• Write clean, tested Python code with unit/integration tests.
• Work in an agile environment and own end-to-end feature delivery.

Skills

Python

SQL

EDA

Data pipelines

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Spark

Databricks

Airflow

Snowflake

Kafka

RabbitMQ

AWS Redshift

GCP BigQuery

Databricks

Job description

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, 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!

Netomi is seeking a highly analytical and detail-oriented candidate to join the Analytics team in Gurugram. As part of the team, you will work with data science, product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and thereby contribute to improving the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data.

We are looking for an 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.

• Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability in Python.

• Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a 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 (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.

Additional Skills

• 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 (e.g., GDPR, HIPAA).

• Familiarity with prompt engineering and how LLM-based systems interact with data.