Staff Data Engineer - Data Ingestion & AI-Driven Pipelines

Todyl, Inc.; Denver (CO); On-site; USD 170,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Health savings and flexible spending (

Life insurance

Short- and long-term disability

On-demand healthcare and telehealth

Employee Assistance Program (EAP)

Flexible PTO + 13 company holidays

401(k)

Job summary

Todyl, Inc. is seeking a staff-level data engineering leader in Denver to steer data ingestion and storage systems, guiding complex, multi-quarter initiatives from problem statements to stabilization.

You will architect scalable pipelines, collaborate with AI/ML teams, and drive architectural standards with a focus on reliability and performance. You will mentor engineers, participate in on-call rotations, and design for long-term maintainability while embracing AI tooling to accelerate

Qualifications

• 8+ years of end-to-end commercial software and application development.
• 3+ years of commercial software development for a multi-tenant cloud platform.
• Demonstrated experience owning complex, ambiguous initiatives end-to-end and setting technical direction for a team.
• Python and SQL for data work.
• Data ingestion and streaming pipelines under high volume and velocity.
• Data storage and modeling: relational and columnar stores, data warehouses, and search and analytics engines.
• AWS and cloud-native, multi-tenant infrastructure.
• Observability for data systems (Grafana, Prometheus).
• Git and modern development workflows.

Responsibilities

• Set the technical direction for data ingestion and storage systems across multi-quarter initiatives.
• Architect and implement scalable data storage and ingestion solutions with trade-off analysis.
• Establish architectural principles, patterns, and observability standards.

Skills

Python

SQL

Data ingestion pipelines

Observability

AWS

Cloud-native

Git

Multi-tenant

Tools

Quickwit

Elasticsearch

Grafana

Prometheus

Job description

Todyl, Inc. is seeking a staff-level data engineering leader in Denver to steer data ingestion and storage systems, guiding complex, multi-quarter initiatives from problem statements to stabilization.

You will architect scalable pipelines, collaborate with AI/ML teams, and drive architectural standards with a focus on reliability and performance. You will mentor engineers, participate in on-call rotations, and design for long-term maintainability while embracing AI tooling to accelerate