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 Aliso Viejo, California, USA Office
5 Polaris Way, Aliso Viejo, CA, United States, 92656
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Manages major financial services accounts, builds executive relationships, leads account planning and client meetings, identifies retention and expansion opportunities, promotes new products, and coordinates internal resources to grow revenue. Requires proven sales, consulting, or business development experience within financial services, strong negotiation and communication skills, major account expertise, and the ability to navigate complex organizations.
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Owns end-to-end collections strategy for complex U.S. enterprise accounts, including payment commitments, disputes, forecasting, delinquency risk, and escalation. Partners with customer finance teams and internal Account Management, Billing, Revenue Accounting, and Order Management teams to resolve payment issues and improve cash outcomes. Maintains account risk visibility, contributes to reserve and write-off discussions, and improves collections processes through automation, reporting, and scalable workflow enhancements.
Top Skills:
AIErp PlatformsWorkflow AutomationZuora Billing
Legal Tech • Software • Generative AI
Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.
Top Skills:
ApolloClaude CodeClayDbtDealhubHexHubspotMcp ServersOmniSalesforceSnowflakeSQL
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
