VibeCodeCareers 
This is a fully remote, senior-level role with Onebridge, a global AI and Data Analytics Consulting Firm based in Indianapolis, Indiana. The position focuses on transforming raw data into authoritative sources using Snowflake, Azure, SQL, and ETL development to support analytics and business decision-making.
Skills / Requirements
- Agile
- AI-assisted Development
- Azure
- Claude Code
- Cursor
- Data Integration
- Data Modeling
- Data Pipelines
- ETL Development
- Jira
- Performance Optimization
- Power BI
- Self-service Analytics
- ServiceNow
- Snowflake
- SQL
- Vibe Coding
Why Apply
This role is ideal for those who leverage AI tools like Claude Code and GPT-based assistants to enhance productivity in data engineering. You'll actively use AI to accelerate development and explore innovative data engineering patterns.
What You'll Be Doing
You'll design and maintain scalable data pipelines, optimize SQL-based transformations, and collaborate with business and analytics teams to enable self-service analytics. You'll also modernize data integration processes and apply AI-powered coding tools to streamline workflows.
Working in Remote
- Indianapolis offers a growing tech scene with opportunities in healthcare, finance, and government sectors.
- The city has a lower cost of living compared to other major tech hubs, making it attractive for professionals.
- Indianapolis provides a balanced lifestyle with cultural amenities and outdoor activities.
- Remote work flexibility allows you to collaborate with teams globally while enjoying the comfort of your home.
Pay and Career Growth
Onebridge has been recognized as a Best Place to Work in Indiana since 2015, indicating a positive work culture. The role offers the chance to work with cutting-edge AI tools, enhancing career growth in data engineering and AI-assisted development.
Benefits and Perks
- Agile Environment
- AI-assisted tools
- Innovative team
- Remote Work
Is This Role Right for You?
Good fit if you...
- Experienced in Snowflake, Azure, and SQL with a passion for AI-assisted development.
- Thrives in agile, fast-paced environments and enjoys designing scalable data solutions.
- Comfortable collaborating with business and technical stakeholders to deliver reliable data products.
May not be for you if...
- Lacks experience with AI-assisted development tools like Claude Code or GPT-based assistants.
- Prefers traditional coding environments without AI integration.
- Uncomfortable with remote work and requires constant in-person supervision.
Original Job Description
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative and dynamic team.
Snowflake Data Engineer | About You
As a Snowflake Data Engineer, you are responsible for transforming complex, raw data into trusted, authoritative sources that power analytics and business decision‑making. You thrive in fast‑paced, agile environments and enjoy designing scalable data solutions that integrate across cloud platforms. You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you’re comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate effectively with technical and business stakeholders to deliver high‑quality, reliable data products. You also bring a strong passion for AI‑assisted development and modern “vibe coding,” actively leveraging intelligent tools to accelerate development, improve code quality, and explore innovative data engineering patterns.
Snowflake Data Engineer | Day-to-Day
Design, build, and maintain scalable, reliable data pipelines using Snowflake, Azure, and modern ETL frameworks.
Develop and optimize SQL‑based transformations and data models that support enterprise reporting, analytics, and data products.
Partner with business, analytics, and engineering teams to create authoritative data sources that enable self‑service analytics and commercialization.
Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows.
Collaborate with BI and analytics teams to enable reporting and self‑service analytics using platforms such as Power BI or Sigma, ensuring data accuracy and accessibility.
Participate in Agile delivery practices using tools such as Jira and ServiceNow, contributing to planning, documentation, and continuous improvement.
Actively apply AI‑powered coding tools and automation techniques to streamline development workflows, improve efficiency, and experiment with emerging capabilities.
Snowflake Data Engineer | Skills & Experience
5+ years of experience in data engineering, data architecture, or a related technical discipline.
Strong hands‑on experience with Snowflake, including data modeling, performance optimization, and large‑scale transformation workloads.
Required expertise in Azure, SQL, and ETL development, supporting cloud‑based data platforms and integrations.
Experience designing, building, and maintaining enterprise‑grade data pipelines and transformation frameworks.
Familiarity with Agile methodologies and tools such as Jira and ServiceNow.
Experience supporting analytics and reporting platforms such as Power BI or Sigma, with an understanding of self‑service analytics principles.
AI‑assisted development experience is required, including hands‑on use of tools such as Claude Code, GPT‑based assistants, Cursor, Kizer, or similar technologies to enhance productivity and innovation.
Experience working with healthcare or regulated industry data is a strong plus, including awareness of data quality, governance, and sensitivity considerations.
A Best Place to Work in Indiana since 2015
