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…