Principal Data Engineer
Ladders
📍 United States, US0💼 Full-time🕐 6/3/2026
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Role overview
Ladders is hiring for the Principal Data Engineer role in United States, US. It is full-time, Senior level, in the Tech sector. It was posted 6/3/2026.
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- Role
- Principal Data Engineer
- Company
- Ladders
- Location
- United States, US
- Work mode
- On-site
- Employment
- Full-time
- Seniority
- Senior
- Sector
- Tech
- Posted
- 6/3/2026
Description
For our client, we are seeking a Principal Data Engineer to join the team of a leader in the Media space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a Media environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $160,000 – $200,000 annually
Responsibilities
Design and build scalable data pipelines from diverse sources and streams
Understand and apply machine learning best practices and algorithms
Implement optimized design patterns for performance and user experience
Collaborate with cross-functional teams to meet data requirements
Interface with technology teams to extract and transform data using cloud principles
Coach others in building scalable data pipelines based on engineering principles
Develop automated tests and ensure compatibility with multiple systems
Qualifications
13+ years of experience in a data engineering role, leading teams in the field
Ability to critically analyze problems and devise effective solutions
Experience designing and deploying large-scale AI systems
Strong understanding of data structures, algorithms, and system architecture
Proven track record in agile development environments with adaptability to feedback
Knowledge of REST-based APIs and AI workload components like vectorized embeddings
Deep experience in data modeling, ETL/ELT, and cloud data warehousing
Benefits
Fully remote work opportunity
Medical, dental, and vision insurance coverage
401(k) retirement plan option
Paid leave for work-life balance
Tuition reimbursement for further education
Access to various employee discounts and perks
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
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