Staff Data Engineer: Data Ingestion & Analytics Platform

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

Benefits offered by this job

Medical, dental, and vision

HSA/FSA

Life insurance

Disability

Telehealth

EAP

Flexible PTO

401(k)

Parental leave

Job summary

Todyl, Inc. in Denver, CO seeks a Staff Software Engineer - Data Engineering to lead data ingestion and analytics infrastructure at scale. You will own end-to-end data pipelines, storage, and observability, partnering with Architecture, AI/ML, and product teams to shape the platform for years to come.

You will mentor engineers, drive architectural decisions, and help the Data team ship reliable systems in a fast-paced startup environment while actively using AI tooling to accelerate delivery.

Qualifications

• 8+ years of end-to-end commercial software 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 (Quickwit, Elasticsearch).
• 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, owning complex, multi-quarter initiatives from ambiguous problem statement through stabilization, and breaking that ambiguity into achievable milestones.
• Architect and implement scalable, reliable data storage and ingestion solutions, evaluate complex trade-offs across performance, scale, security, and maintainability, and present those trade-offs to leadership when they affect direction.
• Establish the architectural principles, patterns, and quality and observability standards that the rest of the Data team adopts, and you will build monitoring, alerting, and debugging into your designs so we catch correctness and freshness issues early and drive down time to detect and resolve.
• Design and implement data ingestion pipelines that pull from many sources into our search and analytics platform (Quickwit, with Elasticsearch in our history) for real-time analytics, search, and visualization, optimized for scalability, reliability, and fault tolerance under high volume and velocity.
• Operate as a peer to Architecture and to the AI/ML and product teams, partnering at the design phase of high-stakes systems rather than reviewing them the week before launch, delivering format-appropriate data for business intelligence initiatives, and integrating pipelines into the portal so end users get seamless access and visualization.
• Act as a multiplier for the Data team: mentor and uplevel engineers through pairing, design partnership, and code review, with measurable improvement in their autonomy, and lead thorough design reviews.
• Participate in the team's on‑call rotation, resolve the issues others cannot, and follow up on incidents and the toil they expose rather than leaving work unfinished.
• Estimate complex multi‑quarter work, identify cross‑team dependencies and risks during planning, propose mitigations, and communicate delays and risks to leadership early.
• Reduce technical debt across multiple initiatives, own systems through their full lifecycle, and look for ways to hand off or make mature systems self‑managing rather than holding onto them forever.
• Treat code review and testing as quality levers, not checkboxes. You design inherently testable systems with comprehensive coverage, prevent architectural mistakes before they happen, and watch dashboards and logs to verify your own changes after they ship.

Skills

Python

SQL

Data ingestion

Data modeling

AWS

Observability

Git workflows

Distributed systems

Tools

Quickwit

Elasticsearch

Grafana

Prometheus

Job description

Todyl, Inc. in Denver, CO seeks a Staff Software Engineer - Data Engineering to lead data ingestion and analytics infrastructure at scale. You will own end-to-end data pipelines, storage, and observability, partnering with Architecture, AI/ML, and product teams to shape the platform for years to come.

You will mentor engineers, drive architectural decisions, and help the Data team ship reliable systems in a fast-paced startup environment while actively using AI tooling to accelerate delivery.