[Hiring] Data Engineer @FICO

Role Description

The myFICO engineering team builds the web applications behind FICO Scores consumer-facing business, and data powers everything we do. We are seeking a Lead 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.

• 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.

Qualifications

• 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.

Benefits

• 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.