Data Engineer

altimateยท Engineering
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๐Ÿ“ BengaluruFullTime

About this role

Who are we?


Mission

Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization.

By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution.

You can read more about us in a recently published venture beat article.


Team

As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios.


What are we looking for?

We're in search of a Data Engineer who brings a passion for innovation and problem-solving, not limited to traditional data engineering. This role is for those with deep expertise in building large scale data pipelines, SQL optimization, and cloud infrastructure, excited to design and build the backbone of our AI-powered data solutions. The ideal candidate will play a crucial role in enhancing our AI capabilities, developing high-performance data systems, and integrating advanced AI using the product into thousands of data teams' daily workflows.

Qualifications:

  • 3-5 years of experience in data engineering, with a focus on building scalable data pipelines and systems

  • Strong proficiency in Python and SQL

  • Extensive experience with SQL query profiling, optimization, and performance tuning, preferably with Snowflake

  • Deep understanding of SQL Abstract Syntax Tree (AST) and experience working with SQL parsers (e.g., sqlglot) for generating column-level lineage and dynamic ETLs

  • Experience in building data pipelines using Airflow or dbt

  • [Optional] Solid understanding of cloud platforms, particularly AWS

  • [Optional] Familiarity with Kubernetes (K8s) for containerized deployments


Why you should join Altimate AI

Projects You'll Work On:

  • Building PB Scale Data Pipelines: Building highly performant large scale data infrastructure that can scale to 100K+ jobs and handle PB scale data per day.

  • Cloud-Native Data Infrastructure: Design and implement robust, scalable data infrastructure on AWS, utilizing Kubernetes and Airflow for efficient resource management and deployment.

  • Intelligent SQL Ecosystem: Design and develop a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking. Leverage your expertise in SQL query profiling, AST analysis, and parsing to create a sophisticated engine focused on query performance improvements, building adaptive data pipelines, and implementing granular column-level lineage.

Impact:

  • Innovation at the Forefront: Push the boundaries of data engineering by combining traditional techniques with cutting-edge AI technologies.

  • High Visibility: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries.

  • Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community.

  • Career Growth: This role is a launchpad into the rapidly advancing field of AI-powered data engineering, offering exposure to state-of-the-art technologies and generative AI applications.


How to Apply

If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Frequently Asked Questions

Is the salary disclosed for the Data Engineer position at altimate?
The salary for this Data Engineer role at altimate is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer position at altimate located?
This Data Engineer role at altimate is based in Bengaluru. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer role at altimate full-time or part-time?
This is listed as a FullTime position. It is posted as a Data Engineer role in the Engineering department at altimate.
Which team or department does the Data Engineer at altimate belong to?
This Data Engineer position is part of the Engineering department at altimate. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer position at altimate?
Click the "Apply Now" button on this page. You will be redirected to altimate's official application portal hosted on ashby where you can submit your application directly.
When was the Data Engineer job at altimate posted?
This Data Engineer position at altimate was posted on Jul 9, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Data Engineer
altimate
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