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.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Support the CFO through complex calendar and inbox management, executive communications, planning, meeting preparation, follow-up tracking, travel and expense coordination. Own Office of the CFO operating rhythms, improve processes, maintain accountability, coordinate cross-functional logistics, and build trusted relationships while handling sensitive information. The role requires regular in-person availability in San Francisco and effective use of collaboration and AI productivity tools.
Top Skills:
Ai ToolsClaudeGitlabGoogle WorkspaceNavanSlackZoom
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Manage behavioral health and substance abuse member cases through assessments, care coordination, treatment planning, provider collaboration, and barrier resolution. Support high-risk members using an integrated care management model, coordinate with treatment teams, educate members about available resources, and participate in interdisciplinary team rounds. This remote role requires Arizona residency and an active, unrestricted behavioral health license.
Top Skills:
ExcelMS OfficeMicrosoft OutlookMicrosoft TeamsMicrosoft Word
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads enterprise AI/ML architecture for LLM, agentic, multi-agent, and RAG applications. Designs scalable, secure, compliant frameworks; remains hands-on with coding and integrations; drives optimization, observability, reliability, governance, and reusable components. Partners with product, engineering, and compliance teams, evaluates emerging AI technologies, and mentors senior engineers. Requires extensive software engineering and AI architecture experience, strong Python skills, cloud and containerization expertise, and experience deploying AI solutions in regulated environments.
Top Skills:
Agentic WorkflowsArizeAWSAzureCi/CdDockerKubernetesLlmsMulti-Agent SystemsNext.JsPhoenixPostgresPythonReactRetrieval-Augmented Generation (Rag)
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


