Software Engineering – Data Engineer, Python, Cloud Databases

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and manage secure, high-performance SQL Server and Redshift databases that power myFICO.com

• Conduct data modeling and provide production support

• Develop and sustain Python ETL/ELT pipelines across operational systems, the data warehouse, and analytics platforms

• Analyze data using Jupyter notebooks and prepare datasets for machine learning and AI applications

• Transform prototypes into scheduled, monitored production pipelines

• Optimize queries, indexes, and schemas to address latency, blocking, and deadlocks

• Utilize AI coding assistants, LLMs, and agentic workflows to expedite delivery

• Collaborate with product and marketing teams to enhance data environments and support analytics and AI initiatives

• Take ownership of production activities, including code reviews, release management, and on-call support

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline

• Proven experience in data and database engineering

• Proficient in Microsoft SQL Server administration, including configuration, security and permissions, backup and recovery, index and statistics maintenance, monitoring, and HA/DR

• Skilled in writing and optimizing complex SQL queries and stored procedures

• Experience with PowerShell scripting for SQL Server automation

• Strong proficiency in Python for data engineering, including libraries such as pandas, NumPy, SQLAlchemy, or PySpark

• Familiarity with Jupyter notebooks, transformation pipelines, and data warehouse models

• Practical experience with Amazon Redshift administration and optimization

• Background in managing and securing data platforms in AWS, including encryption and access control for sensitive consumer information

• Experience in workflow orchestration using Airflow, Step Functions, or similar tools

• Knowledge of CI/CD practices for database and pipeline code

• Ownership of production tasks, including code reviews, release management, and on-call support

• Experience working within Agile/Scrum teams

• Excellent communication skills

• Familiarity with AI data pipelines, ML tools, NoSQL databases, infrastructure as code, BI tools, and/or AWS certifications is advantageous

🏝️ Benefits

• Inclusive culture that reflects our core values

• Opportunities for professional development and meaningful learning experiences

• Competitive compensation, benefits, and rewards programs

• Commitment to work/life balance

• Access to employee resource groups

• Participation in social events

• Equal employment and advancement opportunities