Senior Data Engineer

MISUMI Americas, a division of MISUMI Group, is a leading provider of standard, configurable, and custom manufacturing solutions. By integrating a vast catalog of components with a world-class digital manufacturing platform, MISUMI Americas empowers engineers and procurement teams to accelerate innovation across the entire product lifecycle. With operations in the San Francisco Bay Area and Chicago, the company serves as a vital partner for the most innovative companies in the Americas.

• Snowflake administration and engineering: access control, warehouse sizing and cost control, query tuning, clustering, security controls, cloning, time travel, and data sharing.
• dbt expert modeling: layered models, dimensional modeling, incremental models, snapshots, macros, tests, documentation, and CI/CD through Git.
• Advanced SQL: CTEs, window functions, recursive queries, semi-structured data, and query tuning.
• ETL/ELT tooling: Fivetran (our tool) or similar, including connector setup, schema drift, deleted records, backfills, and cost.
• Agentic coding and development: daily use of AI coding agents that work in the repository and terminal (not chat-only use), with disciplined verification of everything they produce.

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field, or equivalent practical experience.
• 10+ years of experience as a data engineer, designing, building, and operating data pipelines and warehouses.
• 6+ years of hands-on Snowflake experience in production, including administration: access control, warehouse management, and cost and performance monitoring.
• 5+ years building and maintaining production dbt projects (dbt Core or dbt Cloud), including testing, documentation, incremental models, macros, and CI/CD.
• 5+ years working with ETL/ELT tools such as Fivetran, Airbyte, Stitch, Matillion, Informatica, or Talend, plus experience with pipeline orchestration.
• Demonstrated, hands-on experience using agentic coding tools that work directly in the codebase (not chat-only AI use) in daily data engineering work. This includes building agentic workflows or tool integrations for data work, such as MCP servers, custom agents, or automated dbt and pipeline checks, with concrete examples of the workflows and results.
• Expert SQL, including CTEs, window functions, and performance tuning.
• Daily use of Git and GitHub pull-request workflows.
• Experience being the primary or sole owner of a data platform, or the technical lead for one.
• Experience administering data platforms that hold regulated data (such as CUI under NIST SP 800-171), including access control, audit logging, encryption, and data classification. Must be able to pass a background check and complete required CUI and security training.

• Direct Fivetran experience, including connector management.
• Experience with Sigma Computing, or with Tableau, Looker, or a similar BI tool.
• Experience modeling ERP and CRM data, such as NetSuite or Salesforce.
• Python for data tooling and automation.
• Snowflake SnowPro certification or dbt certification.
• Infrastructure-as-code experience for Snowflake, such as Terraform.
• Background in manufacturing, supply chain, or marketplace businesses.

• Write advanced SQL on large, complex datasets, including semi-structured data such as JSON in Snowflake VARIANT columns.
• Apply data warehousing and dimensional modeling principles to turn business requirements into well-structured, maintainable models.
• Work independently: take an open-ended problem, define the approach, deliver it, and raise risks early instead of stalling.
• Use sound production judgment: verify before changing shared systems, plan for failure, and know how to roll back.
• Use AI tools with discipline: give clear context and constraints, review and test every AI-generated change, and stay accountable for the result.
• Solve hard problems methodically: break an unclear problem into testable hypotheses, gather evidence from logs, lineage, and query history, confirm the cause before changing anything, and verify the fix worked.
• Communicate clearly in writing and in person, giving business context to engineers and technical context to non-engineers.

The employee routinely sits, talks, hears, and uses hands and fingers to operate a keyboard. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Ability to travel 5% annually in the US for team meetings, offsites, and conferences.

If you have run production Snowflake, dbt, and ELT at scale, you work daily with agentic coding tools, and you want to be the person the business trusts with its data, we would like to hear from you. Apply today.