Principal Software Engineer

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

📋 Description

• Conduct technical feasibility assessments and evaluate solutions for data and analytics projects based on business, operational, and regulatory requirements.

• Spearhead the design and execution of scalable data engineering solutions, which encompass data pipelines, data models, data integrations, and analytics-ready data products.

• Provide technical guidance for data architecture, ETL and ELT design, code reviews, performance optimization, production support, and troubleshooting.

• Facilitate the modernization of legacy data and reporting systems, including transitioning from traditional ETL and reporting tools to contemporary cloud data platforms and transformation frameworks.

• Design and oversee data pipelines utilizing cloud-based technologies, Python, Spark, SQL, and associated orchestration and transformation tools.

• Support enterprise analytics platforms, comprising data warehouses, reporting frameworks, semantic layers, and business intelligence environments.

• Collaborate with data analysts, data engineers, business stakeholders, architects, product owners, and technology partners to convert business requirements into robust data solutions.

• Define and implement the technical roadmap for data engineering, analytics enablement, platform modernization, data quality, and automation initiatives.

• Establish and advocate for engineering standards, reusable patterns, coding guidelines, testing protocols, data quality controls, and documentation standards.

• Work in collaboration with architecture, security, infrastructure, governance, and business teams to ensure that data solutions are secure, reliable, scalable, and compliant with enterprise standards.

• Mentor engineers and technical team members, fostering skill development in cloud data engineering, data modeling, analytics engineering, and modern data platform methodologies.

• Facilitate AI/ML enablement by ensuring data pipelines, curated datasets, and feature-ready data assets are dependable, governed, and appropriate for advanced analytics and machine learning applications.

• Remain updated on emerging trends in data engineering, cloud technologies, analytics, AI/ML, and automation to promote ongoing improvement and technical innovation.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Engineering, or equivalent training and experience.

• A minimum of 12 years of experience in software engineering, data engineering, analytics engineering, or the development of enterprise data platforms.

• Demonstrated experience in designing, developing, and maintaining intricate data solutions that involve multiple systems, stakeholders, business sectors, and production dependencies.

• Strong proficiency in Python, SQL, distributed data processing, and both ETL and ELT development methodologies.

• Familiarity with cloud-based data platforms and services, including the development, deployment, monitoring, and operational support of data solutions.

• Comprehensive understanding of data modeling, data warehousing, data quality, metadata management, data lineage, performance optimization, and production support practices.

• Working knowledge of AI/ML concepts and the data engineering practices essential for supporting advanced analytics, machine learning, and model-ready datasets.

• Proven capability to design data solutions that integrate seamlessly with internal and external systems while adhering to security, governance, scalability, and reliability standards.

• In-depth understanding of software development and data engineering practices within a distributed team environment, including version control, testing, CI/CD, release management, and operational monitoring.

• Exceptional problem-solving, analytical, communication, and stakeholder management skills.

• Proven ability to collaborate effectively, mentor technical team members, and influence engineering direction across various teams.

🏝️ Benefits

• Medical, dental, vision, and life insurance

• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup

• Tuition reimbursement up to $5,250/year

• Business-casual environment that includes the option to wear jeans

• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year

• Paid volunteer time — 16 hours per calendar year

• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)

• Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work, and play. BRGs are open to all.