Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Responsibilities
Perform independently and become an SME
Active participation/contribution in team discussions
Contribute in providing solutions to work related problems
Collaborate with cross-functional teams to understand project requirements and deliver effective software solutions
Continuously evaluate and improve existing software components to enhance performance and maintainability
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Responsibilities
Perform independently and become an SME
Actively participate in team discussions
Provide solutions to work related problems
Collaborate with cross-functional teams to understand project requirements and deliver effective software solutions
Continuously evaluate and improve existing software components to enhance performance and maintainability
Senior Data Engineer responsible for modernizing and maintaining WME Enterprise IT's legacy SQL data estate, building pipelines, ensuring high availability, and operationalizing data governance and privacy across a global footprint.
Compensation
Hiring Rate Minimum: $127,500 annually (minimum will not fall below the applicable state/local minimum salary thresholds)
Hiring Rate Maximum:
$170,000 annually
Responsibilities
Own and modernize the legacy SQL data estate behind custom product and engineering applications
Support, stabilize, and maintain legacy SQL databases for performance, reliability, and availability
Help set and drive strategy to modernize legacy SQL environment through consolidation, upgrades, and migration
Build and modernize ELT pipelines from source systems including custom applications, SAP, and business systems
Own pipeline orchestration, scheduling, and resilient, observable pipelines with clear failure handling
Requirements
Nice to have: Microsoft certifications
Nice to have: Azure Database Administrator (DP-300)
Nice to have: Azure Data Engineer (DP-700/DP-203)
Nice to have: data-privacy certification (IAPP CIPP/E or CIPP/US)
Responsible for ensuring the stability, performance, and security of databases and data for the University of Washington’s Office of Research Information Systems.
Compensation
Pay Range Minimum: $117,600.00 annual
Pay Range Maximum: $124,800.00 annual
Responsibilities
Design, deploy, configure, maintain, and deprecate database environments
Develop SQL queries for applications and reporting
Implement automation to reduce repetitive tasks
Maintain configuration and management of databases across environments
Configure logging and monitoring
Requirements
Bachelor’s degree in Engineering, Computer Science, Math/Statistics, or Business
Support development, integration, security, modernization, and sustainment of mission‑critical applications and data environments for the South Carolina Department of Probation, Parole, and Pardon Services.
Responsibilities
Design, develop, and maintain an enterprise data warehouse, data lake, or comparable data platform
Define data models, schemas, metadata, integration patterns, storage approaches, and lifecycle‑management practices
Establish standards for data ingestion, transformation, storage, access, retention, lineage, cataloging, quality, and security
Develop and maintain scalable ETL/ELT pipelines for batch, near‑real‑time, and real‑time data processing
Design secure, reliable interfaces among enterprise applications, reporting platforms, analytics tools, and data repositories
Requirements
Bachelor’s degree in computer science, information systems, data engineering, software engineering, or a related technical discipline
Senior Database Administrator responsible for managing enterprise database platforms, optimizing performance, ensuring reliability, and driving automation within a global SaaS environment.
Responsibilities
Own and optimize database platforms
Drive performance and scalability
Strengthen reliability and resiliency
Advance automation and database DevOps
Protect and support critical services
Requirements
Bachelor's degree in Computer Science, Data Engineering, or related discipline
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