Senior Data Engineer, Ingestion & Analytics (Equity)

Todyl; Denver (CO); Hybrid; USD 170,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision

HSA/FSA

Life insurance

Disability insurance

On-demand healthcare

Employee Assistance Program

Flexible PTO + holidays

401(k)

Parental leave

Job summary

Todyl is seeking a Senior Software Engineer, Data Engineering in Denver, CO. You will own ingestion pipelines from multiple sources through Kafka-compatible streaming into Quickwit and ClickHouse for real-time analytics, with a focus on scalability, reliability, and correctness.

You will design storage, partitioning, and query performance, while building monitoring and incident response tooling. This role emphasizes ownership, mentorship, and collaboration with AI/ML and product teams.

Qualifications

• 5+ years of software engineering with 2+ years building data infrastructure in production.
• Production experience with a streaming platform: Kafka/Redpanda/Kinesis or similar.
• Production experience with a search or analytics store: ClickHouse/Elasticsearch/OpenSearch/Quickwit.
• Strong Go or Python, and strong SQL.
• Demonstrated experience owning complex data features end to end.
• 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.
• Own complex features end to end from ambiguity to long-term maintenance.
• Design and tune the storage layer: index/table design, partitioning, retention, and query performance.

Skills

Go

Python

SQL

Ownership of data features

Tools

Kafka

ClickHouse

Quickwit

Elasticsearch/OpenSearch

Grafana/Prometheus

Parquet/Iceberg/S3

Job description

Todyl is seeking a Senior Software Engineer, Data Engineering in Denver, CO. You will own ingestion pipelines from multiple sources through Kafka-compatible streaming into Quickwit and ClickHouse for real-time analytics, with a focus on scalability, reliability, and correctness.

You will design storage, partitioning, and query performance, while building monitoring and incident response tooling. This role emphasizes ownership, mentorship, and collaboration with AI/ML and product teams.