Senior Data Engineer - Remote, Data Pipelines & Mentorship

YLD; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

YLD is seeking a Data Engineer to build core data platform infrastructure, including pipelines, APIs and data models. You will instrument systems for performance and scale data access for internal and external stakeholders, with secure authentication.

You will select technologies for batch and streaming workloads, mentor engineers, and contribute to a high-quality data platform while aligning with client needs and YLD standards.

Qualifications

• Proven Python development with maintainable, high-performance code.
• Experience building data pipelines using dbt, Kafka, Spark, Kinesis, Lambda, Airflow.
• Strong data modeling knowledge and patterns.
• Advanced SQL skills focusing on CTEs and window functions.
• Experience with monitoring: CloudWatch, Datadog, etc.
• Problem-solving balancing innovation with pragmatic tech choices.
• Able to work in a dynamic production environment and manage client expectations.
• Customer-focused mindset with attention to quality.
• Experience collaborating with leadership and architects.
• Demonstrates ownership and transparency in deliverables.
• Represents YLD brand responsibly with clear communication.

Responsibilities

• Build core infrastructure software: pipelines, APIs, and data models.
• Instrument systems for performance and ongoing enhancement.
• Ensure data offerings serve internal and external stakeholders with secure authentication.
• Choose and implement technologies for scaling data access, batch processing and streaming.
• Mentor and coach other engineers to grow technical expertise.

Skills

Python

Data pipelines

SQL with advanced functions

Data modeling

Mentoring

Problem solving

Communication

Client-facing

Tools

dbt

Kafka

Spark

AWS Kinesis

AWS Lambda

Apache Airflow

Job description

YLD is seeking a Data Engineer to build core data platform infrastructure, including pipelines, APIs and data models. You will instrument systems for performance and scale data access for internal and external stakeholders, with secure authentication.

You will select technologies for batch and streaming workloads, mentor engineers, and contribute to a high-quality data platform while aligning with client needs and YLD standards.