Senior Data Engineer: Snowflake, dbt ELT & CI/CD Lead

Noblesoft Technologies; Town of Texas (WI); On-site; USD 110,000 - 150,000; Full time

Job summary

Noblesoft Technologies is seeking a Data Engineer with hands-on Snowflake‑based data warehousing and dbt ELT expertise to design and optimize cloud data pipelines. The role emphasizes advanced SQL, incremental and snapshot strategies, performance tuning, and cost optimization.

Candidates must implement CI/CD for dbt, integrate orchestration tools, and enforce data quality through automated testing and observability frameworks, while mentoring teams in an on-site/offshore model.

Qualifications

• Hands-on Snowflake-based data warehousing and ELT using dbt (Core or Cloud).
• Advanced SQL with incremental and snapshot strategies and performance tuning.
• Experience designing scalable, production-grade ELT pipelines and cost optimization.
• CI/CD for dbt, orchestration tooling, and data quality through automated testing.
• Security in Snowflake, Git version control, and DevOps deployment practices.
• Experience leading design reviews and mentoring data engineering teams in on-site/offshore models.

Responsibilities

• Design and implement Snowflake-based data pipelines and ELT processes.
• Lead technical design reviews and mentor data engineering teams.
• Enforce data quality with automated tests and observability frameworks.
• Implement CI/CD for dbt and integrate orchestration tools.
• Optimize costs and ensure security in Snowflake deployments.

Skills

Snowflake

dbt

SQL

ELT pipelines

CI/CD

Cloud platforms

Git

Data Quality

Observability

DevOps

Job description

Noblesoft Technologies is seeking a Data Engineer with hands-on Snowflake‑based data warehousing and dbt ELT expertise to design and optimize cloud data pipelines. The role emphasizes advanced SQL, incremental and snapshot strategies, performance tuning, and cost optimization.

Candidates must implement CI/CD for dbt, integrate orchestration tools, and enforce data quality through automated testing and observability frameworks, while mentoring teams in an on-site/offshore model.