About Us We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the 'how' of building software matters as much as the 'what'.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we'd like to talk.

Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Job Description This is a remote position.

Experience Level

2+ years of experience in SQL, Python, AI Tools and Snowflake (or equivalent cloud data warehouse), Azure Cloud services.

If you're a Data Craftsperson who takes pride in clean, well-tested data solutions and believes in the principles of Extreme Programming, we'd love to meet you. At Incubyte, we're a DevOps organization where developers own the entire release cycle — you'll get hands-on experience across data engineering, analytics, cloud infrastructure, and direct client communication. This role sits primarily in data engineering (80%) with a meaningful analytics component (20%), supporting our client's data systems end-to-end.

Design, build,



and maintain data pipelines and infrastructure using SQL and Python
Work within Snowflake to build and optimize data models supporting business use cases
Parse and process structured and semi-structured data (JSON, XML) from diverse sources
Build SQL queries to support repeatable analytics use cases based on stakeholder requirements
Investigate and resolve data quality issues, including time-sensitive or urgent ones
2+ years of experience with SQL and relational databases, with the ability to understand complex data relationships and transformations (required)

- 2+ years of experience with Python for data engineering tasks (required)
- Experience with Snowflake or an equivalent cloud data warehouse (required)
- Experience working with Snowflake Coco or any other AI tools(required)
- Experience parsing JSON and XML data (a plus)
- A strong eye for data quality and attention to detail
- Knowledge of Azure cloud services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database (required)
- Knowledge of data infrastructure/modeling tools like DBT, Fivetran (a plus)
- Experience with BI tools like Power BI(a plus, not core to this role)
- Knowledge of Docker, Linux, Shell/Bash, and virtualization technologies (a plus)
- Knowledge of SSIS packages (a plus)
- We are a remote-first company with structured flexibility. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. Comprehensive medical & term insurance.
Employee-friendly leave policies.
Home Office fund
Medical Insurance

📌 Data Engineer SQL - Remote (m/w/d) (India)
🏢 Incubyte
📍 India