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Data Craftsperson - I
- Pay
- Pay not listed
- Work setting
Remote — work setting source
This is a remote position. Experience Level
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Sponsorship for conference talks.
Read the full posting
What you’ll work on
Full postingIf 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
Build and optimize Snowflake data models for business use cases
Parse structured and semi-structured data such as JSON and XML
Investigate and resolve data quality issues, including urgent ones
Build SQL queries for repeatable analytics use cases
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.
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
Investigate and resolve data quality issues, including time-sensitive or urgent ones
Build SQL queries to support repeatable analytics use cases based on stakeholder requirements
What you’ll bring
All qualificationsCore experience
- 2+ years of SQL and relational database experience
- 2+ years of Python for data engineering
- Experience with Snowflake or an equivalent cloud data warehouse
- Experience with Snowflake Coco or other AI tools
- Knowledge of Git and Azure cloud services such as Azure Data Factory
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
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)
Knowledge of Git (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
Report an error- Status in our records
- Live
- First seen by us
- Aug 27, 202669 days ago
- Recorded sightings
- 45
- 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
Incubyte is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- Bash
- Python
- Shell
- SQL
- Azure
- dbt
- Docker
- Fivetran
- Power BI
- Snowflake
Where the posting names them
- 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)
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)
- 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)
- 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)
Your next step
Complete your application on incubyte-incubyte.zohorecruit.in. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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.