Software Engineer - Orlando, FL

About the Role

Key Responsibilities

• Support the design, implementation, and refinement of a large scale data storage system.
• Provide leadership and mentorship to junior data and software engineers.
• Establish standard processes for development and production-ready analytics solutions.
• Stay connected with academic research and apply best-of-breed solutions to technical challenges.
• Work with teams including Data Engineers, Machine Learning Engineers, Software Engineers, system domain experts, and Project Managers to understand technical problems and apply data engineering and analytics solutions.
• Support the design of data pipelines, data strategies, and program processes.
• Define and communicate a long-term roadmap for a modern data platform, including guiding principles, data architecture standards, and technology stack decisions.

Requirements

• Ability to obtain a secret security clearance and must be a US Citizen.
• Experience with the Python programming language.
• Experience working in an Agile team structure.
• Adaptability with rapidly changing technologies and willingness to learn and integrate emerging tools and frameworks.
• Demonstrated ability to design, implement, and optimize relational database systems using SQL.
• Proficiency in data modeling, including conceptual, logical, and physical data modeling, dimensional modeling, normalized schemas, and entity-relationship diagrams.
• Familiarity with data governance frameworks, data quality, lineage, and metadata management.
• Experience with DevOps and DataOps practices, including CI/CD pipelines, automated testing, and infrastructure-as-code tools like Helm, Terraform, and GitLab CI/CD.

Nice to Have

• 6+ years experience leading Data Engineering projects.
• Knowledge of data security best practices, encryption, and role-based access controls.
• Experience with Amazon Web Services (AWS).
• Hands-on experience with PostgreSQL.
• Experience designing, building, and maintaining high-volume, reliable, and scalable ETL/ELT pipelines.
• Familiarity with performance tuning, query optimization, caching strategies, and monitoring/logging tools.
• Proven experience with Apache Arrow for in-memory data handling and Parquet for scalable storage.

Qualifications

• Experience with the Python programming language.
• Experience working in an Agile team structure.
• Ability to obtain a secret security clearance.
• U.S. Citizenship required.

Benefits & Perks

• Flexible work schedules including part-time remote telework.
• Comprehensive benefits package supporting future security.
• Work schedule of 4x10 hour days with 3 days off per week.
• Support for alternate work schedules and additional time off options.