Pay: Salary not listed in the saved posting
Work setup: Remote stated — work setup source
This is a remote position. Experience Level
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Employment: Unconfirmed

Before you apply

Sponsorship: Visa sponsorship not confirmed — sponsorship source
Sponsorship for conference talks.
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What you’ll work on

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.

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
Build SQL queries to support repeatable analytics use cases based on stakeholder requirements

From the employer’s posting

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.

What You'll Do 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

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 varied sources

Diagnose issues across raw, intermediate, and summary tables 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

What you’ll bring

All qualifications

Core experience

2+ years of experience with SQL and relational databases, with the ability to understand complex data relationships and transformations (required)
Knowledge of Git (required)
2+ years of experience with Python for data engineering tasks (required)
Knowledge of Azure cloud services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database (required)
Experience with Snowflake or an equivalent cloud data warehouse (required)
Familiarity with CI/CD methodologies

Preferred experience

Experience parsing JSON and XML data (a plus)
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)

Qualification wording

2+ years of experience with SQL and relational databases, with the ability to understand complex data relationships and transformations (required)

Knowledge of Git (required)

2+ years of experience with Python for data engineering tasks (required)

Knowledge of Azure cloud services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database (required)

Experience with Snowflake or an equivalent cloud data warehouse (required)

Familiarity with CI/CD methodologies

Experience parsing JSON and XML data (a plus)

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)

Tools in this posting

Python
SQL
Azure
dbt
Docker
Fivetran
Snowflake
Bash
Shell
Power BI

Source

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

What You'll Do - 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

- 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)

- Diagnose issues across raw, intermediate, and summary tables - 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

What We're Looking For - 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)

- Knowledge of Git (required) - 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)

- 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)

- 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)

- 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 varied sources

- 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 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)

- 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)

Benefits in the posting

Full benefits wording

Life at Incubyte
Comprehensive medical & term insurance.
Employee-friendly leave policies.
Home Office fund
Medical Insurance

From the employer’s posting.

Posting record

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Status in our records: Live
First seen by us: Aug 27, 2026 · 50d ago
Recorded sightings: 26
Last seen by us: Oct 16, 2026

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

Job description

View original posting ↗

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.

Role Overview

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.

What You'll Do

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 varied sources
Diagnose issues across raw, intermediate, and summary tables
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
Identify opportunities to consolidate models and maintain a single source of truth (SSOT)

Requirements

What We're Looking For

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 Git (required)
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)
Familiarity with CI/CD methodologies

Benefits

Life at Incubyte

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. 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. We are all lifelong learners, and our work is our passion.

Perks

Dedicated learning & development budget.
Sponsorship for conference talks.
Comprehensive medical & term insurance.
Employee-friendly leave policies.
Home Office fund
Medical Insurance

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on incubyte-incubyte.zohorecruit.in. The employer’s form will show what is required.

Already applied? Track this application

Source details

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Pay: No pay amount identified in the saved description.
Location & working pattern: Location not supplied.
This is a remote position. Experience Level
More source context
Life at Incubyte We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. 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. We are all lifelong learners, and our work is our passion.
Work authorization: - Dedicated learning & development budget. - Sponsorship for conference talks. - Comprehensive medical & term insurance.

Open source at incubyte-incubyte.zohorecruit.in ↗Read the full description ↓

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