Data Management Operations Engineer

Data Management Operations Engineer

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity

The Data Management Engineer is responsible for the administration, maintenance, and continuous improvement of the organization's big data Analytics environment. This role serves as a critical support function for the Analytics team, ensuring that platforms, tools, and cloud infrastructure operate reliably and efficiently. The ideal candidate is technically skilled, proactive, and eager to leverage emerging technologies — including artificial intelligence — to drive innovation within the Analytics ecosystem.

What You’ll Contribute

Analytics Environment Management

• Manage and maintain the organization's big data Analytics environment, ensuring high availability, performance, and data integrity across all platforms.
• Monitor system health, perform routine maintenance, coordinate upgrades, and troubleshoot issues as they arise.
• Develop and enforce data governance standards and best practices to support the reliability of the environment.

Application and Tool Support

• Provide hands-on support for applications and tools used by the Analytics team, including data ingestion pipelines, query engines, visualization platforms, and workflow orchestration tools.
• Onboard new tools as business needs evolve, maintain documentation, and serve as a technical resource for Analytics team members encountering platform-related issues.

AWS EC2 Analytics Server Support

• Support and administer AWS EC2 instances that power the Analytics environment, including provisioning, configuration, scaling, performance tuning, and cost management.
• Collaborate with cloud and infrastructure teams to ensure server resources align with Analytics workloads and organizational security requirements.

AI Integration and Optimization

• Actively learn and apply artificial intelligence and machine learning tools to optimize and enhance the Analytics environment.
• Identify opportunities to automate routine tasks, improve data processing efficiency, and integrate AI-driven capabilities into existing workflows.
• Stay current with developments in AI tooling relevant to data management and analytics infrastructure.

What We’re Seeking

• Minimum of 4 years of experience in data engineering, analytics infrastructure, or a related field.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience.
• Demonstrated experience with big data platforms such as Hadoop, Spark, and Hive.
• Working knowledge of AWS services, particularly EC2, S3, EMR, and IAM.
• Familiarity with languages such as C, Java, Python, PySpark, HTML, JavaScript, jQuery, Scala, PERL, Bash, SQL, and PL/SQL.
• Experience with AI or ML tools in a data engineering context is a plus.
• Experience with infrastructure-as-code tools such as Terraform or CloudFormation is a plus.
• Experience with Apache HTTP server configuration and management is a plus.
• Ownership of managed systems, clear communication with stakeholders, curiosity, and a solutions-oriented mindset.
• Genuine interest in the evolving role of AI in data infrastructure.

Our Offer to You

• An inclusive culture reflecting core values: Act Like an Owner, Delight Our Customers, and Earn the Respect of Others.
• Opportunity to make an impact and develop professionally through unique strengths and valuable learning experiences.
• Highly competitive compensation, benefits, and rewards programs.
• Engaging, people-first work environment with work/life balance, employee resource groups, and social events.

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

• Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
• Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
• Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

Key skills/competency

• Data Management
• Big Data Analytics
• AWS EC2
• AI Integration
• Hadoop
• Spark
• Hive
• Data Governance
• Cloud Infrastructure
• Python