Data Engineer

Zingroll; California (MO); On-site; USD 90,000 - 140,000; Full time

Job summary

Zingroll is seeking a Data Engineer to build pipelines that track user behavior and turn raw data into actionable insights for product teams. You will own backend pipelines for event tracking, perform funnel and cohort analyses, and set up analytics tools like PostHog and Amplitude to measure experiments and retention.

A startup mindset and strong data quality are valued. 4 weeks availability and market-aligned compensation are noted, with emphasis on scalable data architectures and practical

Qualifications

• Experience building backend pipelines for event tracking.
• Experience with consumer apps at scale and high-volume data.
• Proficiency with analytics suites like PostHog or Amplitude.
• Ability to ensure data accuracy and support decision-making.
• Comfort analyzing session recordings for insights.
• Familiarity with ads data is a plus.

Responsibilities

• Build and maintain reliable pipelines to track user behavior and app events.
• Analyze conversion rates and retention through funnel and cohort analysis.
• Set up and manage tools like PostHog, Amplitude, or similar platforms.
• Build data framework for A/B tests.
• Review session recordings to judge user intent and friction.

Skills

Data engineering

Backend pipelines

Funnel analysis

Cohort analysis

Data visualization

Session analysis

Ad data familiarity

Tools

PostHog

Amplitude

Job description

We are hiring a Data Engineer to build the pipelines that track how users move through our app. You will be responsible for turning raw user behavior into clear insights - like where people drop off in the funnel and why they keep coming back.

What You'll Do

• Build and maintain reliable pipelines to track user behavior and app events.
• Analyze user conversion rates and retention through funnel and cohort analysis to identify exactly where we are winning or losing users.
• Set up and manage tools like PostHog, Amplitude, or similar platforms to track real-time data.
• Build the data framework for A/B tests so we can measure the impact of new features or ads.
• Review session recordings to judge user intent and identify friction points in the app experience.

What We're Looking For

• You have worked on consumer apps at scale and understand the nuances of high-volume user data.
• You are proficient in data science and building backend pipelines for event tracking.
• You are an expert in modern analytics suites (PostHog/Amplitude) and visualization software.
• You ensure data is accurate and clean so management can make decisions with confidence.
• You don\'t just report data; you look for patterns and suggest what we should test next.
• You are comfortable watching session recordings to understand user behavior beyond just the numbers.
• You have worked with ads data before (preferred but not strictly necessary).

General Notes

• Availability: 4 weeks
• Prior startup experience is highly valued.
• Compensation Range: Competitive and market-aligned. The final package depends on skills, experience, and abilities – not your degree.