Staff Software Engineer, Benefits Data Platform

About the Role

Key Responsibilities

• Collaborate with partners and stakeholders to understand customers' business needs and key challenges.
• Design, test, code, and instrument new data products, systems, platforms, and pipelines of high complexity, ensuring simple and high-quality solutions.
• Leverage data effectively to measure, analyze, and drive decisions.
• Develop and maintain CI/CD automation using tools such as GitHub Actions.
• Implement Infrastructure as Code (IaC) using tools like Terraform, managing cloud-based data infrastructure.
• Perform software development using TDD, BDD, Microservices, and event-oriented architectures with a focus on efficiency, reliability, quality, and scalability.
• Support live data products, systems, and platforms, ensuring proactive monitoring, high data quality, rapid incident response, and continuous improvement.
• Analyze data, systems, and processes independently to identify bottlenecks and opportunities for improvement.
• Mentor peers and foster continuous learning of new technologies within the team and organization.
• Attract top talent to the team; participate in interviews and provide timely, constructive feedback.
• Act as a role model for team processes and best practices, ensuring assigned tasks solve customer and business problems effectively, reliably, and sustainably.
• Collaborate with and lead peers in completing complex tasks and problem-solving efforts.
• Lead Scrum teams with hands-on involvement in Agile practices, ensuring the timely and high-quality development of solutions.
• Own large, complex components or systems, products, and platforms.
• Lead and participate in technical discussions, driving high-quality and efficient system design.
• Independently complete medium to large complexity tasks and proactively seek feedback from senior engineers to ensure quality.
• Proactively identify and communicate project dependencies.
• Review peer work and provide constructive feedback to enhance team collaboration and quality.
• Build reliable, secure, high-quality, and scalable big data platforms and tools to support data transfer, ingestion, processing, serving, delivery, consumption, and data governance.
• Design and implement scalable systems, platforms, pipelines, and tools for the end-to-end data lifecycle, including ingestion, cleaning, processing, enrichment, optimization, and serving.
• Develop data quality measurement and monitoring systems, metadata management, data catalogs, and Master Data Management (MDM) solutions.
• Use data modeling techniques to design and implement efficient and user-friendly data models and structures.
• Become a subject matter expert in your functional area and best practices.
• Apply creative problem-solving techniques to resolve issues or provide various approaches for unique situations.
• Leverage data and AI technologies in design and development for high productivity and improved solution quality, influencing peers in these areas.
• Lead team initiatives, applying broad experience and technical knowledge to make informed decisions on solving complex issues.
• Hold yourself and your team accountable for delivering high-quality results using defined OKRs.
• Interact with senior managers to discuss plans, results, and provide advice on complex matters.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent deep understanding, experience, and capability.
• A Master's or PhD degree in Computer Science (or related field) and 5+ years of software engineering experience, or 7+ years of large-scale software engineering experience, with expertise in data system/platform development.
• Technically deep, innovative, empathetic, and passionate about delivering business-oriented solutions.
• Strong problem-solving skills, with excellent communication and collaboration abilities.
• Highly self-motivated and eager to learn, continuously adopting new technologies to improve productivity and the quality of deliverables.
• Proficiency in leveraging GenAI technologies to enhance work productivity and build innovative products or systems for customers.
• Extensive experience designing simple, high-quality, performant, and efficient solutions for large, complex problems.
• Strong understanding and hands-on experience with CI/CD automation.
• Proven experience in combined engineering practices and Agile development.
• Extensive experience and strong implementation skills in languages such as Java, C#, Golang, and Python, including coding, automated testing, performance measurement, and monitoring.
• In-depth understanding of data processing techniques, such as data pipeline and platform development, SQL, and databases.
• Extensive experience in data ingestion, cleaning, processing, enrichment, storage, serving, and quality assurance techniques and tools, including ELT, SQL, relational algebra, and databases.
• Experience with cloud technologies, particularly AWS and Azure.
• Good understanding of data warehousing, dimensional modeling, and related techniques.
• Passion for understanding and solving customer and business problems.
• Familiarity with data governance is a plus.

Nice to Have

• Experience in building and maintaining Lakehouse platforms and resources, ideally using Snowflake or equivalent data technologies.
• Extensive hands-on experience with cloud infrastructures in AWS and Azure, with a focus on managing infrastructure as code (IaC) using Terraform and implementing CI/CD pipelines using GitHub Actions.
• Skilled in building, managing, and consuming APIs, with a strong understanding of API technologies and integration best practices.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• 5+ years of software engineering experience with a Master's or PhD, or 7+ years of large-scale software engineering experience.

Benefits & Perks

• Competitive pay range of $135,000.00 - $180,000.00, based on qualifications and experience.
• Comprehensive benefits including health, dental, and vision insurances.
• Retirement savings plan, paid time off, health savings account, flexible spending accounts.
• Life insurance, disability insurance, tuition reimbursement, and more.