This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal, Data Engineer in United States.
This senior-level role sits at the intersection of data architecture, engineering excellence, and strategic client impact. You will design and deliver scalable data solutions that directly enable business outcomes across complex enterprise environments. Operating in a highly collaborative and consulting-driven setting, you will translate ambiguous business challenges into robust, production-grade data systems. The role requires strong technical depth alongside the ability to influence stakeholders and guide architectural decisions. You will work across diverse industries and client contexts, shaping end-to-end data ecosystems. This is an opportunity to combine hands-on engineering with technical leadership and advisory impact in a fast-moving, innovation-focused environment.
Accountabilities:- Lead the design, development, and delivery of scalable data pipelines and data architecture solutions, ensuring reliability, performance, and alignment with business needs.
- Translate business requirements into technical designs, driving end-to-end implementation from discovery through production deployment.
- Build and optimize data workflows using modern ETL/ELT tools, cloud platforms, and distributed data systems.
- Provide technical leadership across client engagements, influencing architecture decisions and ensuring best practices in engineering delivery.
- Collaborate with cross-functional teams including analysts, engineers, and stakeholders to define data strategy and execution approaches.
- Oversee data quality, governance, observability, and operational stability across multiple environments and client systems.
- Mentor and guide junior engineers, contributing to capability development and engineering excellence within teams.
Requirements
- 7+ years of experience in data engineering, software engineering, or related technical roles in enterprise or consulting environments.
- Strong expertise in data pipeline tools (e.g., Airflow, ETL frameworks) and distributed data processing systems.
- Proficiency in programming languages such as Python, Java, Scala, or similar.
- Hands-on experience with modern data platforms (e.g., Snowflake, BigQuery, Databricks, Redshift, or equivalent).
- Solid understanding of cloud environments (AWS or GCP preferred) and data architecture principles.
- Experience working across the full project lifecycle, from requirements gathering to deployment and optimization.
- Strong consulting, communication, and stakeholder management skills with the ability to influence technical and non-technical audiences.
- Proven ability to operate in complex, fast-paced, client-facing environments with multiple priorities.
Benefits
- Competitive salary range: $105,000 – $160,000 USD (based on experience and location)
- Healthcare coverage including medical, dental, and vision plans
- 401(k) retirement plan with employer matching
- Paid time off, company holidays, and parental leave
- Flexible remote work environment (US-based)
- Career development opportunities and continuous learning support
- Inclusive, collaborative culture with strong emphasis on innovation and autonomy
- Exposure to high-impact enterprise clients and cutting-edge data projects.
How Jobgether works:
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!
Why Apply Through Jobgether?
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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