Data Solutions Engineer

This role is intentionally hybrid:

Hands-on Data Engineering – 60%

Continuous Optimization of Data-Driven Systems – 30%

Client-facing Technical Support & Ticket Resolution – 10%

Success in this role is measured by platform reliability, data quality, system performance, and the long-term resolution of production issues, rather than by volume of support tickets.

K ey responsibilities

Platform Deployment & Data Integration

Deploy and configure our platform for new clients

Integrate client data pipelines into our data stack

Ensure data quality, consistency, and reliability across incoming and outgoing data flows

Production Support & Ticket Management

Investigate and resolve technical tickets related to data pipelines, system performance, and algorithm behavior

Act as a technical escalation point for Customer Success teams

Diagnose root causes, propose fixes, and ensure long-term prevention of recurring issues

Continuous Optimization & Performance Improvement

Analyze system and algorithm performance using metrics, logs, and experimentation

Identify opportunities to optimize data pipelines, processing logic, and algorithm configurations

Collaborate with Product and Data Science teams to prioritize and roll out improvements

Design and analyze A/B tests to measure the impact of changes

Disciplined problem-solver who enjoys digging into the "why" of system behavior to find long-term solutions.