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FICOFI

Software Engineering – Data Engineer (Python & Cloud Databases)

Fair Isaac Corporation (FICO) is a data analytics company focused on credit scoring services and providing analytics software and tools to help businesses make better decisions. Its FICO Score is a standard measure of consumer credit risk in the United States.

FICO

Employee count: 1001-5000

Salary: $84K – $132K per year

United States only

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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 myFICO engineering team builds the web applications behind FICO Scores consumer-facing business, and data powers everything we do. We are seeking a Data Engineer to own the SQL Server, Amazon Redshift, and other cloud databases behind myFICO.com, build and run the Python ETL/ELT pipelines that feed our data warehouse and analytics platforms, and prepare data for emerging ML and AI use cases in AWS.

What You’ll Contribute

  • Design, build, and operate secure, high-performance SQL Server and Redshift databases that power myFICO.com, from data modeling through production support.
  • Build and maintain Python ETL/ELT pipelines that move and transform data across operational systems, the data warehouse, and analytics platforms.
  • Explore data in Jupyter notebooks, prepare datasets for ML and AI applications, and turn prototypes into scheduled, monitored production pipelines.
  • Tune queries, indexes, and schemas to resolve latency, blocking, and deadlocks on a high-traffic consumer site.
  • Use AI coding assistants, LLMs, and agentic workflows, such as Claude Code, Cursor, and GitHub Copilot, to accelerate delivery while reviewing and refining their output.
  • Work with product and marketing teams to modernize data environments, support analytics and AI use cases, and expand data-driven decision-making.

What We’re Seeking

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with demonstrated experience in data and database engineering.
  • Hands-on Microsoft SQL Server administration, including configuration, security and permissions, backup and recovery, index and statistics maintenance, monitoring, and HA/DR.
  • Expertise writing and tuning complex SQL queries and stored procedures, plus PowerShell scripting to automate SQL Server tasks such as backup and restore, environment refreshes, and deployments.
  • Strong Python for data engineering (pandas, NumPy, SQLAlchemy, or PySpark) and comfort in Jupyter notebooks, with proven experience building transformation pipelines and data warehouse models.
  • Hands-on Amazon Redshift administration and tuning, including distribution and sort keys, workload management, and permissions.
  • Experience running and securing data platforms in AWS (S3, Glue, Lambda, RDS, or similar), including encryption and access control for sensitive consumer data.
  • Workflow orchestration (Airflow, Step Functions, or similar) and CI/CD for database and pipeline code.
  • Production ownership, including code review, release management, and on-call support, with strong communication skills and experience working in Agile/Scrum teams.
  • Experience with data pipelines for AI applications (RAG workflows, vector stores, MCP server integrations), ML tools such as scikit-learn or SageMaker, NoSQL databases, infrastructure as code, BI tools such as Tableau, and/or AWS certifications is a plus.

Our Offer to You


  • An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
  • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
  • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
  • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
  • The targeted base pay range for this role is: $84,000 to $132,000 with this range reflecting differences in candidate knowledge, skills and experience.

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – 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 athttps://www.fico.com/en/privacy-policy

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Salary

Salary: $84K – $132K per year

Education

Bachelor degree
Postgraduate degree

Location requirements

Hiring timezones

United States +/- 0 hours

About FICO

Learn more about FICO and their company culture.

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What began in 1956 as a visionary idea between an engineer, Bill Fair, and a mathematician, Earl Isaac, has blossomed into a global standard for credit risk assessment and a powerhouse in analytics software. Fair, Isaac and Company, as it was originally known, embarked on a mission to revolutionize how lending decisions were made. The duo, who met while working at the Stanford Research Institute, believed that data and mathematical algorithms could provide a more objective and reliable measure of creditworthiness than traditional, often subjective, methods. Two years after its founding, the company sold its first credit scoring system, marking the initial step in a journey that would fundamentally change the financial services industry. They pitched their innovative system to fifty American lenders, laying the groundwork for widespread adoption.

The company went public in July 1987, trading on the New York Stock Exchange, a testament to its growing influence and the increasing recognition of the value of its analytical approach. A pivotal moment arrived in 1989 with the debut of the first general-purpose FICO® Score. This score, based on credit report data, provided a standardized metric for lenders to assess consumer credit risk, quickly becoming an indispensable tool. The impact was profound; by 1995, major entities like Fannie Mae and Freddie Mac began using FICO® Scores to determine mortgage eligibility, solidifying its role in the American lending landscape. Over the decades, FICO, which officially changed its name to Fair Isaac Corporation in 2003, has continued to innovate, expanding its offerings beyond credit scoring to a comprehensive suite of analytics software and tools. These solutions help businesses across various industries manage risk, combat fraud, build stronger customer relationships, and optimize operations. Headquartered in Bozeman, Montana, FICO's influence extends worldwide, with its technologies and scores utilized in over 100 countries, empowering billions of decisions annually and shaping the way businesses and consumers interact in the global economy.

Employee benefits

Learn about the employee benefits and perks provided at FICO.

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Paid holidays

FICO offers paid holidays.

Paid sick days

FICO offers paid sick days.

Flexible Work Hours

FICO offers flexible work hours.

Tuition Reimbursement

FICO offers tuition reimbursement.

View FICO's employee benefits
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FICO

Company size

1001-5000 employees

Founded in

1956

Chief executive officer

William J. Lansing

Employees live in

View company profile

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