We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
Principal Data Engineer
Location
United States
Posted
23 hours ago
Salary
$151.8K - $220.1K / year
Seniority
Lead
Job Description
Principal Data Engineer
Empower
• Design, build, and optimize scalable data engineering solutions, including streaming data services, data pipelines, data platforms, and operational data systems. • Serve as a hands-on technical leader, actively developing and implementing data engineering solutions rather than functioning solely as an architect. • Define and drive data engineering standards, patterns, best practices, and reusable frameworks. • Architect and implement highly complex, scalable data platforms and advanced data engineering solutions. • Lead complex, high-impact, cross-functional data initiatives across the organization. • Build and support streaming and data services for enterprise use, with experience beyond consuming or using existing platforms. • Establish and enforce data governance, security, data quality, and data management standards. • Ensure enterprise data platforms are reliable, well-modeled, accessible, secure, and optimized for broad consumption. • Drive innovation and modernization initiatives across data platforms, engineering practices, and cloud-based data services. • Partner with senior leadership, architects, product teams, and engineering teams on long-term data strategy and roadmap planning. • Mentor senior engineers and technical leaders across the organization. • Evaluate and adopt emerging technologies to advance enterprise data capabilities. • Ensure scalability, performance, resilience, and long-term sustainability of data platforms. • Champion continuous improvement and elevate engineering practices across teams. • Complete other duties as assigned.
Job Requirements
- Bachelor’s degree in Computer Science or a related field, such as Information Systems, Mathematics, or Software Engineering, or an equivalent combination of training and experience.
- 10+ years of data engineering experience.
- Certified AWS Engineer or equivalent AWS certification required.
- Expert-level proficiency in Python, Spark, SQL, and modern data architectures.
- Extensive hands-on experience with AWS and distributed data systems.
- Proven experience building streaming data solutions, data services, and scalable data platforms, not just using existing platforms as a consumer.
- Deep expertise in data modeling, ETL/ELT, data platform design, and operational data stores.
- Proven experience with batch and streaming data integration at enterprise scale.
- Strong experience with data governance, data quality, security standards, and data management practices.
- Hands-on experience with Terraform or similar infrastructure-as-code tooling.
- Expertise across modern data platforms and cloud ecosystems.
- Demonstrated ability to define, influence, and implement enterprise-wide technical direction and engineering standards.
- Proven track record of leading enterprise-scale data transformations and initiatives.
- Exceptional leadership, mentoring, and organizational influence.
- Strong communication skills with the ability to advise executive stakeholders, partner with architects, and drive technical decisions.
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.
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