Data Engineer I

Reads like an Analytics Engineer role: dbt models and clean tables.

Remote - India

Live, first seen by us 43 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Listed location: Remote - India
Read the full posting
Employment: Full-time — employment source
Employment type Full Time - Remote
Employment type in the employer’s posting: Full Time - Remote
From the employer’s posting

Before you apply

New graduates: Entry levelEngineer with a passion for using data

What you’ll work on

Full posting

Build scalable, secure data pipelines on platforms like Spark, Databricks, Airflow, and Snowflake
Develop ETL/ELT processes to ingest structured and unstructured data
Run exploratory data analysis to check data integrity and surface trends
Design data models with data scientists, analysts, and software engineers

From the employer’s posting

Architect and implement scalable, secure, and reliable data pipelines using modern data platforms

Develop ETL/ELT processes to ingest data from various structured and unstructured sources.

Perform Exploratory Data Analysis (EDA) to uncover trends, validate data integrity

Collaborate closely with data scientists, analysts, and software engineers to design data models

What you’ll bring

All qualifications

Core experience

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Familiarity with DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes).
2+ years of hands-on experience in data engineering or backend software development roles.
Knowledge of data security and privacy regulations (e.g., GDPR, HIPAA).
Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).
Familiarity with prompt engineering and how LLM-based systems interact with data.

Qualification wording

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Familiarity with DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes).

2+ years of hands-on experience in data engineering or backend software development roles.

Knowledge of data security and privacy regulations (e.g., GDPR, HIPAA).

Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).

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

Education & alternatives

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.

About Netomi

Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

In the employer’s words · Read in context

Apply at Netomi

Posting record

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Status in our records: Live
First seen by us: Sep 22, 202643 days ago
Recorded sightings: 26
Last seen by us: Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 43

Similar jobs usually come down between day 6 and day 47.

From 1,405 similar postings that came down. Coming down is not always a hire.

Netomi is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
BigQuery
Databricks
Docker
GCP
Kafka
Kubernetes
MySQL
PostgreSQL
Prefect
Redshift
Snowflake
Spark
Airflow
Luigi

Where the posting names them

- 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.

- 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).

- 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.

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.

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.

- 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).

- 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.

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Job description

View original posting ↗

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.