Datazymes
This role involves designing, developing, and delivering data solutions using Azure services, including data pipelines and data lakes. The candidate will work independently to set up and manage data infrastructure, CI/CD pipelines, and database queries, with a focus on data warehousing, ETL, and big data processing.
Headquarters
Philadelphia, Pennsylvania, United States
Company Size
51-200 employees
Founded
2016
DataZymes is a data engineering and analytics company that helps organizations turn raw data into actionable insights through managed pipelines, ETL/ELT workflows, and data platform integrations. They offer cloud-native tools and services for data ingestion, transformation, warehousing, real-time streaming, and operational analytics, plus support for ML model deployment. The platform emphasizes automation, observability, and governance to keep pipelines reliable and compliant across cloud providers. DataZymes serves analytics and engineering teams seeking scalable, secure data infrastructure and hands-on professional services to accelerate time-to-value.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Datazymes.
Datazymes didn’t post a salary, so this is our estimate from similar listings.
9% below the average for this role