
51 - 200 employees
Founded 2003
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Workstate is a company that provides Teams as a Service (TaaS) for software engineering, offering flexible, customizable software development teams to businesses and public sector projects. With over 25 years of experience, Workstate specializes in adapting team size and composition to meet changing project requirements, aiming to overcome the limitations of traditional team recruitment and assembly. Workstate's TaaS model facilitates seamless integration, access to top technology talent, and cost-effective solutions that optimize project delivery on time and within budget. The company partners with federal, state, and local governmental agencies, higher education institutions, and non-profits, providing technology teams for all stages of the software development lifecycle.
🕒 June 29
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51 - 200 employees
Founded 2003
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Workstate is a company that provides Teams as a Service (TaaS) for software engineering, offering flexible, customizable software development teams to businesses and public sector projects. With over 25 years of experience, Workstate specializes in adapting team size and composition to meet changing project requirements, aiming to overcome the limitations of traditional team recruitment and assembly. Workstate's TaaS model facilitates seamless integration, access to top technology talent, and cost-effective solutions that optimize project delivery on time and within budget. The company partners with federal, state, and local governmental agencies, higher education institutions, and non-profits, providing technology teams for all stages of the software development lifecycle.
• Develop and operationalize scalable and reliable data pipelines. • Assemble large, complex data sets that meet functional and non-functional business requirements. • Experience in database management techniques including logical data modeling, physical database optimization and security. • Keep improving the integrity of data pipelines by setting up Data Quality checks to provide a comprehensive data service. • Work with Data and Analytics experts to strive for greater functionality in our data systems. • Experience with On-Call support and unblock users based on severity of the issue.
• 5+ years of experience in engineering and operationalizing data pipelines with large and complex datasets. • 3+ years of experience working with unstructured data (JSON). • Extensive experience in advanced SQL. • 3+ years of experience in Python/PySpark. • 3+ years of experience with transforming data using Databricks. • 3+ years of experience with AWS. • Experience with Git (CI/CD). • Power BI or similar visualization tools.
Apply Now🕒 April 7
Data Engineering Analyst specializing in automation, quality checks, and migration for World Business Lenders. Focused on improving data pipelines and migrating legacy systems while ensuring data accuracy.
Airflow
Apache
Azure
Cloud
ETL
Python
SQL
🕒 December 6, 2025
Data Engineer at Keyrus working on innovative digital and data projects for global customers. Engaging in dynamic environments with a focus on technology and professional growth.
🗣️🇪🇸 Spanish Required
Amazon Redshift
AWS
Azure
ETL
PySpark
Python
SQL