What is the salary for the Principal Data Engineer - REMOTE position at Jobgether?

The salary range for this Principal Data Engineer - REMOTE position is $142,346 to $184,000 per year. Actual compensation may vary based on experience, skills, and location.

Where is this Principal Data Engineer - REMOTE position located?

This is an on-site position at Jobgether located in Arizona.

How do I apply for this Principal Data Engineer - REMOTE job at Jobgether?

Click the 'Apply' button on this page to be redirected to Jobgether's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

Jobgether is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Jobgether.

Principal Data Engineer - REMOTE

$142k - $184k

Jobgether Arizona 1 day ago

data

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Engineer. The Principal Data Engineer will serve as a senior technical leader responsible for the design, construction, and optimization of scalable data architectures that enable advanced analytics and business intelligence. This role is critical in guiding data engineering practices while ensuring data quality, security, and governance. The individual will lead the development of robust data pipelines and collaborate with various stakeholders to provide actionable insights from data. Success in this role paves the way for the organization to leverage data strategically and to foster a culture of high performance.

Accountabilities

Drive the strategic design and evolution of highly optimized, secure, and scalable ETL/ELT data pipelines across diverse, complex data sources.

Define the technical vision and architecture for enterprise data platforms, ensuring alignment with business objectives and regulatory requirements.

Partner with senior leaders across engineering, product, and operations to identify systemic challenges and deliver innovative, resilient data solutions.

Architect and operationalize data marts and domain-oriented data models that enable reliable, performant, and democratized access for analytics and AI/ML use cases.

Lead the design and rollout of API-based, event-driven data services that power mission-critical products and real-time decisioning.

Establish enterprise-grade observability frameworks, including automated testing, lineage tracking, and monitoring systems for proactive detection and rapid remediation of data issues.

Serve as a thought leader and mentor, elevating the technical bar across engineering teams, and embedding best practices in data engineering, security, and governance.

Champion the adoption of emerging tools, cloud technologies, and methodologies to future-proof the platform and increase efficiency at scale.

Influence long-term data strategy and standards, ensuring consistency, scalability, and compliance across the organization.

Requirements

12+ years of hands-on technical experience in software development, data structures, and algorithms.

5+ years of Snowflake experience.

5+ years of Spark experience.

4+ years of technical leadership at scale, setting architectural direction and guiding multiple project teams to successful delivery.

Proven ability to define and execute data strategies in fast-paced, high-growth environments while balancing long-term scalability with short-term priorities.

Deep expertise in cloud platforms and services such as AWS or GCP.

Mastery of programming languages like Python, Node, Scala, or Go.

Proficiency in SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Cassandra.

Staying updated with emerging data technologies, methodologies, and best practices.

Strong business acumen and stakeholder management skills, with ability to translate ambiguous requirements into scalable technical solutions.

Benefits

Competitive compensation range: $142,346 - $184,000.

Comprehensive benefits package designed to support well-being, growth, and success.

Bonus programs and 401(k) match.

Employee Stock Purchase Program (ESPP) and financial wellness resources.

Medical, dental, and vision coverage.

Mental health support and family planning benefits.

Gym membership reimbursement and wellness programs.

Generous time-off policies including 3 weeks PTO to start, with unlimited PTO after year one.

Education expense reimbursement and leadership development programs.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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