Senior Data Engineer - Streaming Ingestion & Analytics

Todyl, Inc.; Denver (CO); On-site; USD 170,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Health savings & FSA

Life insurance

Disability (short/long)

On-demand healthcare & telehealth

Employee Assistance Program (EAP)

Flexible PTO + 13 holidays

401(k)

Parental leave

Job summary

Todyl, Inc. is seeking a Senior Software Engineer, Data Engineering to own ingestion and storage systems for high-volume security telemetry. You will design scalable pipelines, own features end-to-end, and partner with AI/ML teams to deliver fast, reliable data for detection and analytics.

You will work with Kafka-based streaming, Quickwit, and ClickHouse, building resilient data platforms in a fast-paced startup environment. Denver-based role with in-office days.

Qualifications

• 5+ years of software engineering, with 2+ years building and operating data infrastructure in production.
• Experience with streaming platforms (Kafka/Redpanda/Kinesis) and consumer/producer management.
• Experience with at least one search/analytics store (ClickHouse/Elasticsearch/OpenSearch/Quickwit).
• Strong Go or Python, and strong SQL.
• Demonstrated ownership of complex data features end-to-end in production.
• Experience with high data volume and cost/performance trade-offs.

Responsibilities

• Design and implement data ingestion pipelines from multiple sources through Kafka-compatible streaming into Quickwit and ClickHouse for real-time analytics, search, and visualization.
• Own complex features end to end from ambiguous problem to production maintenance, breaking work into milestones.
• Design and tune storage layer (indexes, tables, partitions, retention, query performance) and document designs for long-term reference.
• Build monitoring, alerting, and debugging into designs to ensure data correctness and freshness.
• Participate in on-call rotation, resolve most issues independently, and follow up on incidents and toil.
• Partner with AI/ML and product teams at design phase to enable fast, correct queries for data consumers.
• Mentor engineers via pairing, design reviews, and code reviews; lead thorough design reviews.
• Proactively reduce technical debt across projects and take initiative on important unassigned work.
• Treat code reviews and testing as quality levers; design inherently testable systems with coverage and observable dashboards/logs.
• Run retrospectives with follow-through and build onboarding materials to accelerate future work.

Skills

Go

Python

SQL

Data infrastructure

System design

Ownership of data features

Data streaming

Tools

Quickwit

Parquet/Iceberg

Vector/Fluent Bit

Grafana/Prometheus

Job description

Todyl, Inc. is seeking a Senior Software Engineer, Data Engineering to own ingestion and storage systems for high-volume security telemetry. You will design scalable pipelines, own features end-to-end, and partner with AI/ML teams to deliver fast, reliable data for detection and analytics.

You will work with Kafka-based streaming, Quickwit, and ClickHouse, building resilient data platforms in a fast-paced startup environment. Denver-based role with in-office days.