Data Engineer

Mastercam

full-time

Posted on: 3/21/2026

Location Type: Remote

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About the role

Design, develop, and maintain scalable data pipelines that ingest and transform data from enterprise platforms including NetSuite, Salesforce, HubSpot.
Develop efficient ELT workflows using modern integration tools such as Fivetran, Integrate.io, Azure Data Factory, or similar technologies.
Build and optimize SQL-based transformations and orchestration processes that support reliable and efficient movement of data across the organization’s data platform.
Design and implement dimensional data models and curated datasets within a modern medallion architecture data warehouse environment.
Develop and maintain data layers supporting development, test, and production environments across cloud data platforms including Azure Data Lake, Snowflake, or equivalent platforms.
Monitor, troubleshoot, and optimize data platform performance, data pipeline reliability, and data quality across the enterprise data ecosystem.

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science, or a related technical discipline.
4 - 5 years of experience in data engineering, database development, or enterprise data warehousing environments.
Demonstrated experience building and maintaining data pipelines and large-scale data integration processes.
Experience working with SQL Server, relational database technologies, and modern cloud data platforms.
Experience integrating and modeling data from SaaS business applications such as Salesforce, NetSuite, or HubSpot.
Experience supporting analytics platforms and business intelligence tools such as SSAS, Power BI, or Tableau.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesELT workflowsSQLdata modelingdata transformationdata orchestrationdata qualitydata integrationdata warehousingcloud data platforms