---
title: 'Data Engineer at Altimate.ai'
canonical: 'https://feeny.ai/job/data-engineer-altimate-ai-bengaluru-n54hrernpf8k'
type: 'job'
last_seen: '2026-09-11'
---

# Data Engineer at Altimate.ai

- **Company:** Altimate.ai
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/altimate/82bb222d-828e-4e5d-bf83-5de1d9c682be

## Job description

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](https://marketplace.visualstudio.com/items?itemName=innoverio.vscode-dbt-power-user), 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](https://venturebeat.com/ai/how-agentic-ai-could-improve-enterprise-data-operations/).

## 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](https://github.com/AltimateAI/vscode-dbt-power-user), 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.

## About Altimate.ai

## Company Overview
- **One-liner**: Altimate.ai builds an agentic data engineering platform that provides AI-powered agents for data governance, pipeline management, workload migration, and infrastructure optimization, integrated directly into data teams' daily tools.
- **Entity Type**: Private (Pre-Seed/Seed stage)
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: May 2022
- **Founders**: Anand Gupta, Pradnesh Patil

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Data Engineering, Analytics, Big Data
- **Target customers**: B2B, Enterprise data teams, data engineers, analytics engineers
- **Mission or purpose statement**: To build the #1 agentic data platform that enables fully autonomous, trustworthy data engineering in production — helping companies achieve a "perfect data world" where governance, quality, and efficiency are guaranteed.

## Products & Services
- **DataPilot**: An AI teammate for data teams, consisting of a collection of AI agents natively integrated into IDE (VS Code), Git, CI/CD, and Slack. Automates data documentation, data quality tests, data contracts, query explanations, and incident assistance — all PII-free.
- **dbt Power User (VS Code Extension)**: Enhances dbt model development and testing with automatic documentation, query result analysis, and best practices embedded directly in the developer workflow.
- **Query Insights**: Provides automated insights and recommendations for SQL queries to improve efficiency and reduce costs.
- **Workload Migration**: Automates migration of Informatica, SSIS, or legacy SQL to dbt, preserving business logic and contracts.
- **Workload Optimization**: Auto-tunes warehouses and optimizes queries across Snowflake, BigQuery, and Databricks autonomously.
- **Data App Builder**: Generates full-stack data applications — APIs, dashboards, and pipelines — from a plain-language spec.
- **Infrastructure Management**: Monitors warehouse health, traces incidents to root cause, and routes fixes autonomously.
- **Altimate Code (Open Source CLI)**: An open-source agentic harness for data engineering tasks, enabling teams to ship agentic data pipelines without vendor lock-in. 10M free tokens available.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total Funding — Undisclosed amounts raised in Pre-Seed round (Sept 2024, led by Surface Ventures and JC2 Ventures) and Seed round (April 2025). Employee headcount of **42** (+150% YoY growth).
- **Notable Investors/Partners**: Surface Ventures, JC2 Ventures
- **Growth Signals**: 
  - 150% headcount growth year-over-year (from ~12 to 42 employees)
  - 78.0% pass rate (32/41 tasks on DuckDB) on DeepSeek V4 Pro (ADE-Bench)
  - Used by hundreds of companies worldwide (thousands including open-source/VS Code users)
  - Active in 5 countries: US, India, UAE, China, Bangladesh
  - 8 active job postings as of mid-2025
  - LinkedIn followers: 4,040 (+54.7% yearly growth)

## Competitive Advantages
- **Tech Stack Agnostic**: Agents work across Snowflake, BigQuery, Databricks, and any cloud provider — avoiding vendor lock-in.
- **Deep Integration**: Embedded directly into the tools data engineers already use daily (VS Code, Git, Slack, CI/CD), minimizing workflow disruption.
- **Token-Efficient Design**: Built to minimize token consumption while maximizing impact, making it cost-effective for enterprise scale.
- **Enterprise-Grade Governance**: SOC 2 compliance, column-level lineage, PII classification, ownership mapping, and audit trails built in.
- **Open Source + Platform Model**: Open-source CLI for flexibility and community adoption, with a paid platform for advanced enterprise features.
- **Strong Benchmark Performance**: 78% pass rate on DeepSeek V4 Pro for data engineering tasks.

## Strategic Focus
- **Current priorities**: Scaling the platform to fully autonomous data engineering; expanding enterprise adoption; deepening capabilities in governance, migration, and optimization; growing the open-source community around Altimate Code.
- **Direction for growth**: Becoming the go-to agentic layer for data teams across all major cloud warehouses, with a focus on trust, governance, and production reliability.

## Why Work Here
- **Culture highlights**: Fast-growing startup with a strong engineering-first culture; emphasis on building AI agents that data teams can trust in production; collaborative and remote-friendly environment.
- **Remote/hybrid/office policy**: Hybrid/In-Office model with physical offices in Sunnyvale, CA (HQ) and Bangalore, India. Some roles may be remote-friendly.
- **Notable perks or engineering culture**: 
  - Open-source ethos (Altimate Code)
  - Cutting-edge AI/LLM work applied to real-world data engineering problems
  - High-impact, autonomous workflows that save teams "days of effort every week"
  - Strong talent pool from companies like Databricks, Snowflake, kipi.ai, Metaplane, and Acceldata
  - 42-person team with rapid growth trajectory, offering significant ownership and impact
- **Active roles**: Product Manager, Staff Product Manager, Staff Backend Engineer, Product Engineer, Senior Software Engineer, Senior Machine Learning Engineer, Technical Lead, Technical Content Creator

## Sources
1. [Altimate.ai Official Site](https://altimate.ai/)
2. [Altimate.ai Careers Page](https://jobs.ashbyhq.com/altimate)
3. [Altimate AI LinkedIn](https://www.linkedin.com/company/altimate-ai)
4. [Built In - Altimate AI Careers](https://builtin.com/company/altimate-ai)
5. [Crunchbase - Altimate AI](https://www.crunchbase.com/organization/altimate-ai)

## Other roles at Altimate.ai

- [Digital Marketing Manager](https://feeny.ai/job/digital-marketing-manager-altimate-ai-remote-ntpvp7hq51s8)
- [Staff Software Engineer - India](https://feeny.ai/job/staff-software-engineer-india-altimate-ai-bengaluru-mv0s8p6ej4my) — Bengaluru, India
- [Senior QA Engineer](https://feeny.ai/job/senior-qa-engineer-altimate-ai-bengaluru-p704rjesh6b1) — Bengaluru, India
- [Product Manager](https://feeny.ai/job/product-manager-altimate-ai-bengaluru-tw21ym7s0g4c) — Bengaluru, India
- [Product Manager](https://feeny.ai/job/product-manager-altimate-ai-sunnyvale-82neh6q3vwr5) — Sunnyvale, CA
- [Data Engineer](https://feeny.ai/job/data-engineer-siteminder-pune-bmcc0yj3ttby) — Pune, India
- [Data Engineer](https://feeny.ai/job/data-engineer-future-processing-gliwice-f8cp0tctfjmd) — Gliwice, Poland
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- [Data Engineer](https://feeny.ai/job/data-engineer-oxylabs-vilnius-zaj01zcyf0kq) — Vilnius, Lithuania
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