> Markdown version of [/jobs/ext/4002681-data-engineer-snowflake-data-warehousing-consultant](https://www.wearedevelopers.com/jobs/ext/4002681-data-engineer-snowflake-data-warehousing-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Snowflake & Data Warehousing Consultant - **Company:** Indotronix Avani Group - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JSON, Blockchain, Low Latency, Real Time Data, Data Management - **Published:** October 29, 2026 - **Apply:** https://candidateportal.ceipal.com/job-details/4zpM49y9eSPgw6ZgGFbeVszHsjELTsCxOAeG1xACjl0 ## About the Role 5+ years in Data Engineering or Database Engineering roles - 3+ years of hands-on Snowflake experience (Streams, Snowpipe, Tasks, Snowpark) - Advanced SQL development and strong data modeling (dimensional, star/snowflake schema) - Data warehousing expertise and experience with data pipeline integration - Familiarity with ADO, GitHub, Liquibase, and Agile/Scrum methodologies - Experience in CI/CD environments and exposure to streaming tools like Kafka - Excellent communication and stakeholder engagement skills - Strong sense of ownership, accountability, and proactive learning Preferred Skills - Experience with low-latency or real-time data platforms - Understanding of Data Governance frameworks - Exposure to Financial Services or Blockchain domains ## Description Join a dynamic team as a Data Engineer Consultant, where your Snowflake and Data Warehousing expertise will be pivotal in designing and scaling high-impact data solutions. You'll lead end-to-end engineering initiatives, collaborate directly with product teams, and help shape the backbone of innovative data platforms in a fast-paced, agile environment. Responsibilities - Independently deliver robust data engineering solutions, from design to deployment - Build, optimize, and maintain scalable data pipelines and integration workflows - Engage with stakeholders to gather requirements and translate them into technical deliverables - Ensure data quality, consistency, and integrity across multiple systems - Support production environments, resolving incidents and changes efficiently following ITIL standards - Collaborate with Product and Agile teams to refine backlogs and deliver continuous improvement