Design, develop, maintain, and optimize ADABAS database structures and data solutions. Support mainframe data processing (Natural, COBOL, JCL), perform migrations to modern platforms, tune performance, ensure data integrity/security, troubleshoot issues, and collaborate with developers, architects, and analysts on modernization, API/cloud integration, and data warehousing initiatives.
Position Title: ADABAS Data Engineer
Overview:
The ADABAS Data Engineer is responsible for designing, developing, maintaining, and optimizing data solutions built on the ADABAS (Adaptable Database System) platform. This role supports data integration, migration, modernization initiatives, and enterprise data management while ensuring data quality, performance, security, and availability across business applications.
- Design, develop, and maintain ADABAS database structures and related data solutions.
- Analyze business and technical requirements and translate them into database designs and data models.
- Develop and optimize ADABAS queries, utilities, and data extraction processes.
- Work with Natural, COBOL, JCL, and other mainframe technologies to support data processing requirements.
- Perform data migration, conversion, and integration activities between ADABAS and modern data platforms.
- Monitor database performance and implement tuning strategies to improve efficiency and reliability.
- Ensure data integrity, backup, recovery, and security procedures are maintained.
- Troubleshoot and resolve database-related issues, incidents, and performance bottlenecks.
- Collaborate with application developers, architects, business analysts, and infrastructure teams.
- Support modernization efforts involving API integration, cloud migration, and data warehousing initiatives.
- Create and maintain technical documentation, standards, and operational procedures.
- Participate in system upgrades, testing, deployment, and production support activities.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- Strong experience with ADABAS Database Administration and Development.
- Hands-on experience with Software AG Natural programming.
- Knowledge of Mainframe technologies including z/OS, JCL, TSO/ISPF, and COBOL.
- Experience with data modeling, ETL processes, and data integration techniques.
- Strong SQL and relational database knowledge.
- Understanding of data governance, security, and compliance requirements.
- Experience with performance tuning, backup, recovery, and database monitoring.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration abilities.
- Experience with ADABAS modernization and migration projects.
- Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.
- Experience with REST APIs, microservices, and enterprise integration tools.
- Familiarity with data warehouse and analytics platforms.
- Exposure to Agile and DevOps methodologies.
- Data Engineering
- Database Administration
- Mainframe Development
- Performance Optimization
- Data Migration & Modernization
- Data Quality Management
- Problem Solving
- Stakeholder Collaboration
Experience: 5+ years of ADABAS/Natural development or database engineering experience preferred.
UST Bellevue, Washington, USA Office
188 106th Ave NE suite 604, Bellevue, United States, 98004
Similar Jobs
Hardware • Healthtech • Software • Analytics
Own the full enterprise SaaS sales cycle, from prospecting through executive negotiations and close, while expanding existing accounts. Build pipeline, manage forecasts, develop executive relationships, and partner with Product, Marketing, Customer Success, and Leadership to refine go-to-market strategy. Contribute to sales enablement, account strategy, sales methodology, and the growth of a scalable commercial organization.
Top Skills:
SaaS
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead product vision and execution for an MVP autonomous agent platform, prototyping and shipping agentic capabilities. Own roadmap for orchestration, memory, action execution, and secure governance. Drive adoption, define metrics, partner with engineering, GTM, and open-source ecosystem, and translate frontier AI research into scalable platform primitives.
Top Skills:
Agent OrchestrationAgentic AiLlm OrchestrationLlmsLow-Code/No-CodeMemory ArchitecturesModel Fine-TuningOpen-Source Ai FrameworksPrompt EngineeringRpaServicenow Ai
Cloud • Fintech • Information Technology • Machine Learning • Software
Manage a portfolio of accounting and bookkeeping partners to drive retention, platform adoption, revenue growth, and subscription expansion. Conduct business reviews, create success plans, identify churn risks, and position Xero capabilities including payroll, bill pay, analytics, and AI tools. Use Salesforce CRM for account health, forecasting, and pipeline management while collaborating with consultants, sales operations, marketing, finance, and customer experience teams.
Top Skills:
Ai-Powered SoftwareAnalytics ToolsPayroll SoftwareSalesforce CRMXero Platform
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
